diff --git a/src/preprocessing/asos_regrid.py b/src/preprocessing/asos_regrid.py
index 3037de0..ced00ae 100644
--- a/src/preprocessing/asos_regrid.py
+++ b/src/preprocessing/asos_regrid.py
@@ -95,6 +95,10 @@ def krige_regrid(
     def north_south_drift(lat, lon):
         return lat
 
+    # 4. Drift term
+    def polynomial_drift(lat, lon):
+        return [1, lat, lon, lat**2, lon**2, lat * lon]
+
     unique_times = df["time"].unique()
 
     # Iterate over each time
@@ -120,7 +124,7 @@ def north_south_drift(lat, lon):
             model=model,
             cond_pos=(lat, lon),
             cond_val=t2m,
-            drift_functions=north_south_drift,
+            drift_functions=polynomial_drift,
         )
 
         uk.set_pos((g_lat, g_lon), mesh_type="structured")
diff --git a/src/preprocessing/test_data_asos_regrid.ipynb b/src/preprocessing/test_data_asos_regrid.ipynb
index 1d8cbc6..c2cfb77 100644
--- a/src/preprocessing/test_data_asos_regrid.ipynb
+++ b/src/preprocessing/test_data_asos_regrid.ipynb
@@ -14,8 +14,8 @@
    "id": "036b6f04-a293-4039-9adc-8dde5582a7dc",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T14:48:07.032752Z",
-     "start_time": "2023-09-02T14:48:07.022304Z"
+     "end_time": "2023-09-03T12:39:10.452042Z",
+     "start_time": "2023-09-03T12:39:10.445705Z"
     }
    },
    "outputs": [],
@@ -36,8 +36,8 @@
    "id": "40e801c7-2a46-4d6a-9989-24280f09a566",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T14:48:08.123557Z",
-     "start_time": "2023-09-02T14:48:08.119704Z"
+     "end_time": "2023-09-03T12:39:17.796239Z",
+     "start_time": "2023-09-03T12:39:10.958883Z"
     }
    },
    "outputs": [],
@@ -63,12 +63,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 3,
    "id": "09e441ac-dc53-4a33-a957-3af0e47aa4c4",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T14:48:14.603710Z",
-     "start_time": "2023-09-02T14:48:14.599818Z"
+     "end_time": "2023-09-03T12:39:19.043015Z",
+     "start_time": "2023-09-03T12:39:19.038850Z"
     }
    },
    "outputs": [],
@@ -85,12 +85,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 25,
    "id": "ddb02f73-543c-4c50-9c7a-d8b68adf563c",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T14:48:16.963972Z",
-     "start_time": "2023-09-02T14:48:16.960446Z"
+     "end_time": "2023-09-03T12:41:26.215293Z",
+     "start_time": "2023-09-03T12:41:26.210876Z"
     }
    },
    "outputs": [],
@@ -104,12 +104,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 26,
    "id": "e8e4103f-1d78-4f71-8e0b-bab29073ab84",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T14:48:17.242127Z",
-     "start_time": "2023-09-02T14:48:17.234789Z"
+     "end_time": "2023-09-03T12:41:26.812435Z",
+     "start_time": "2023-09-03T12:41:26.806957Z"
     }
    },
    "outputs": [],
@@ -134,12 +134,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 27,
    "id": "61d5d139-ea98-44a1-ab38-482f625de3f2",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T14:48:17.678122Z",
-     "start_time": "2023-09-02T14:48:17.669809Z"
+     "end_time": "2023-09-03T12:41:27.963574Z",
+     "start_time": "2023-09-03T12:41:27.954322Z"
     }
    },
    "outputs": [],
@@ -162,12 +162,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 28,
    "id": "cff43d69-2ca4-4c03-a582-35f44443d500",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T14:48:18.874865Z",
-     "start_time": "2023-09-02T14:48:18.871272Z"
+     "end_time": "2023-09-03T12:41:28.395328Z",
+     "start_time": "2023-09-03T12:41:28.389076Z"
     }
    },
    "outputs": [],
@@ -739,20 +739,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 29,
    "id": "57aaebd1-28e6-42be-8902-23fb9698dcdf",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:41:43.666166Z",
+     "start_time": "2023-09-03T12:41:37.795588Z"
+    }
+   },
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "D:\\anaconda3\\envs\\da\\Lib\\site-packages\\cartopy\\io\\__init__.py:241: DownloadWarning: Downloading: https://naturalearth.s3.amazonaws.com/50m_cultural/ne_50m_admin_0_countries.zip\n",
-      "  warnings.warn(f'Downloading: {url}', DownloadWarning)\n",
-      "D:\\anaconda3\\envs\\da\\Lib\\site-packages\\cartopy\\io\\__init__.py:241: DownloadWarning: Downloading: https://naturalearth.s3.amazonaws.com/50m_physical/ne_50m_coastline.zip\n",
-      "  warnings.warn(f'Downloading: {url}', DownloadWarning)\n"
-     ]
-    },
     {
      "data": {
       "image/png": 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IJBLS19cnTU1NAkAzZ8784Lblcjl17NhRuQ2xWExxcXG1eTjv5eDgQNra2pztvy7J5XJasGABaWlpKb907Nmzh+tYDMPUsgZTnLZt20YAaPfu3W+8JpfLKTQ0lMrKyqq0zYKCAlqwYAFZWFgQAOrVqxcVFBSoKnK1SKVS0tPTIyMjI05z1Da5XE7Lly8nbW1tAkAGBgb066+/ch2LYZg60mAaRMjlcgCv+vf8G5/PR+vWrSu9rYULF2LdunXKceQAYOLEidi5c2fNg9ZQp06dkJ+fj0WLFnEdpdZs3LgRAQEByM/Ph46ODtauXYuvv/6a61gMw6grVVc7VYqPj1detuvXr1+1GwBkZWUpL9/986GtrU2RkZEqTl01U6dOJQDUt29fTnPUlu3bt5ORkZHy0unixYs5u6/HMAy3qlJL1LoTrq2tLebMmQNNTU2cPn0a2tra6NmzZ5W3Y2RkhKtXr+LQoUM4cOAA9u7di2+++QZFRUX43//+VwvJK+/06dMAgNmzZ3OaQ5VkMhl+/PFHmJqaYtKkSSgqKsK3336LwsJCLFq0qNID1zIM03ip/afEunXr0KJFC+W/HR0dq7WdTp06YcSIERg1ahTEYjF27doFAGjZsqVKclbXsWPHIBQK0b17d/Tu3RvFxcWc5qmJ1NRUjBw5Etra2ggICEBRURGmT5+O/Px8rFq1ihUlhmEqT9WnYrXhdRPx0aNH12jkhosXL5K9vT0BIKFQSIsXL1ZdyBpIS0sjb29vAkBaWlr1biSE69evK/MDICsrK9q0aRO7fMcwTAUNprXea0ePHlX2dcL/9YeZOHEiRUREVGr9O3fukLu7u7KD66hRozhvofc2+/btI7FYTACoRYsWlJSUxHWk9yorK1POtsvj8ahNmzZ069YtrmMxDKOmGlxxeu3UqVPk7+9POjo6ykJlYmLyxjd0uVxOO3fupI8//ljZbJnH41Hfvn0pKyuLo/SVU1JSQv379ycAJBAIKCAggOtI7/Q659ChQyktLY3rOAzDqLmq1BIeEdGHLv3l5+dDX18feXl5nI8GnZubi+7duysnAtTU1ER2djYkEgmAV7Ojdu7cGVlZWQAAGxsb9OzZE4sXL672mHuq8OTJE5SVlUFDQwNaWlrQ0NCASCSCSCSClpYWgFf3xR48eACBQAANDQ0UFhYCAJydnRETE8NZ9rd5/TPRvHlzPHjwgOs4DMPUA1WpJWrdz+nfMjMz0bdvX4SFhaFVq1aYNm0aJk6cqLzRvnr1asyfPx9EhPnz5+P7779XfvBzRaFQoH379ggODq7U8i1atIBUKkViYqLyuWfPniE0NBQ+Pj61FbPK9uzZAwCsrxLDMLWiXhSnY8eOYcmSJXj06BEAwNvbG3fv3oVCocCxY8cQGRmJM2fOICQkBEZGRrh8+TKaN2/OcepXhalDhw4IDg5G586d0bFjR8hksgoPqVSq/Hv37t0xevToCuuHhoYiMjIS3t7eHB7Jm65fvw4AGD9+PCZOnAiRSAQ9PT0MHjwYq1at4vwMm2GY+k3tL+u5uroiJiYGfD4fbdu2xYoVK9CpUyfIZDK0atVKWbAAoGfPnvjrr7/UZpbYL774Atu2bUP//v1x8uRJruOoVG5uLn766SfExcUhKSkJaWlpSExMRF5eHoyMjJSXVRmGYV6rUi1R9U0sVRs4cKByHLbw8HAiIoqNjVU2CR80aBCFhoZSQkJCnWd7n8jISOLxeOTg4MB1lDpx48YNsrS0JAA0YcIEruMwDKOGGlxrvbVr1xKfzycAZGxsrGypV5nRx7ni5+dHACgqKorrKLUqLS1NObo7n8+nWbNmcR2JYRg11SBb6z19+hRffvklHj9+DFtbW+zYsUNtZ4FNTU2FpaUlPvroI9y7d4/rOLVCoVBg+vTp2Lp1KxQKBfz8/BAYGAhzc/Nqby8sLAx///03ioqKUFZWBqlUCkNDQ/Ts2RPt27dXyxEmcnNzIZPJYGJiwnUUhlF7VaklalWcXrx4gf3796N9+/bo2rVrre3nbbKzs6GjowORSFTjbQ0dOhTHjh3DjRs34Ofnp4J06mXfvn2YOnUqCgsLYWVlhQMHDlR5GvWHDx8iMDAQ165dw5MnT5CZmQmFQvHedXR0dGBtbQ0PDw/4+fnB19cXYrEYd+7cweXLl/Ho0SPk5+crG5oAr0avFwgEFR5CoVD55z8fGhoayj9fN/UXCoXKJv8ymUx5jy0rKwvFxcXKzBKJBM7OzujcuTO+/vpr2NraVu/NZZgGTC2Lk0wmw3//+1/cunULVlZWaNWqFf7++2/cv38fGhoa4PP5SElJUS7v7OyMLVu2oFu3btXaX2VNmTIFv/32G4gIfD4fzZs3x7p162pUHDU1NWFubo74+HgVJlUPd+/ehY+PD7S0tPDjjz9izpw5H1xHoVDg3Llz+P3333Hjxg2kpKQoP9R5PB6MjY3h5uaGjh07ok+fPjA1NYWWlhbEYjFevHiBv//+G3fu3MHTp0+RkpJSYdqTfxKLxdDR0VEWFODVtCv/fCgUCuWfrx9EpPzz349/EwgE0NHRgbGxMaytreHi4oKSkhLcuXMHL1++hEwmA5/Px6JFi/D999/X4J1mmIZH7RpE5OTkkIGBgfK+BP4xbYWZmRmZmZmRnp4e9e7dm65fv06DBw9WLufq6kolJSXV2m9laGtrk46ODn3++efUsmVL5X5rMu6eSCQiKysrFaZUH46OjsTj8T7YAOX69es0YcIEsre3r/B/rqurS23atKE5c+bQ9evXqzX+XklJCf3111+0fPlyWrhwIR0+fLjWh6OSy+UklUo/uNz169eV90Xd3NzUfggqhqlLatcgYvLkycpCk5aWRhkZGXTy5Mn3Fp3Xrd14PJ7KfsHlcjmFhYXRihUraMCAAeTi4kIAaNq0acplEhISqEmTJgSAevfuXa0Pz88++4wA0IwZM1SSW13s2bOHANAnn3xCRK/ez7y8PDp37hzNnz+f/P39ydHRkYRCobIYSSQS8vHxoaVLl1JKSgrHR1A35HI5ffLJJ8rjr8lgxQzTkKhdcTpz5kyF8fDs7e1p8eLF75w8MCMjg/T19QkA7dmzp1r7JHr1DXvcuHHk4eFBenp6ytHNXz/EYjF5eXm9Md6eVCpVtrabP39+lfcrl8vJzs6OAJCTkxPNnDmTHj16VO3jUBdWVlZvnbTxnw9tbW3y8vKiefPmUWxsLNeRObVv3z4CQJ6enlxHYRi1oLat9a5cuYIff/wR165dQ3l5OXg8Htzd3eHm5gbg1f0HHo+HoKAg5OTkYMuWLZg8eXK193fmzBn07dsXwKuJC11dXeHj44Nu3bqhY8eOH2z8oKmpCScnJ0RGRlZ53zKZDB9//DFu3bqlfM7CwgLJyclV3pa62LhxI86cOQNNTU3lmIDa2tpwdnZGly5d8NFHH6llizoujR49GgcOHMDMmTPxyy+/cB2HYTildvec/k0ul9Phw4epTZs2FS4BvX7weDxat25dtbcfFRVFZWVlFc5gDh06VOXteHl5kVAorNI6RUVFNHXqVDIxMalwPGZmZvTZZ59VOQNTv/3zZ/DcuXNcx2EYTlWllnAyzg+fz8fw4cMxfPhwlW63uLgYH3/8Me7evQsA0NbWRlFREQDA1NS0ytvz9vbGo0ePUFxcrBz1/H1Onz6N4cOHo6SkBHp6ehg1ahQmTZqEzp07szOKRorP5+PWrVuwsbHBZ599VmFAX4Zh3k09BqFTEWdnZ6SkpKBr167Q1NREVFQU7OzssHDhwmo1DS8oKACASo1snpmZiQEDBkAoFGL37t0YP358lffHNEy7du2CQqFAkyZNuI7CMPVGgypOKSkpMDY2RlBQkEq2d/XqVejr61fqrOeXX36BQqHAzp07K4wszjRuc+fOxdq1a2FmZobLly9zHYdh6g1OrjWdPn0a3377Lb766itMmTIFs2fPRmhoaI23O2TIEGRlZcHV1RWZmZk13l5WVhaaNm1aqWU/+eQTAMCBAwdqvF+m/ouPj4eTkxPWrl0LKysrxMTEsGlEGKYqVH0TqzI0NDTe2gz58OHDNd72pEmTCACJRCLy9vamsWPH0oYNG+jBgwdV7rP0us9OWVlZpZZ3cnJSNlHv1q0bnTp1qjqHwNRzq1atUnY8njRpUrX6yjFMQ6R2/Zz+TSQSUbNmzSgpKYny8vIoNjZWpVMtnDhxgszNzd/aElBbW5scHBxoxIgRH+zx//PPPxMAOnDgQKX2m5OTQ7NnzyYbGxvl/kQiEW3ZskUVh8XUA4sWLSIAZGRkRHfu3OE6DsOoFbXt5/SaRCKBg4MDHj9+rHyOz+ejV69eOHPmTI23/0/5+fm4cuUKbt68iQcPHiA2NhapqakoKCiAr68v7ty58851nz9/DmdnZ2hoaMDf3x/Hjh2r9MCwubm5WLduHX766SeUl5cjJSWFjVzdwG3evBnTpk2Dubk5Xrx4UamGNAzTmKjlwK//pKGhgebNmyMsLEz5nEgkQosWLVRy76kyBg0ahBMnTmDIkCEIDAx853LLli3Drl27EBsbCwAQCoXQ1taGoaEhmjRpAhsbG5iamqKkpARFRUUoKSlBSUkJSktL4ezsjP/85z8YOnQodHV1ERYWBhcXlzo5PqZuHTt2DMOGDYOenh7i4uJgYGDAdSSGUTtq3Qk3IiLirRMF6ujokLOzc423XxXe3t4EgKZPn/7BZfft20eDBg0iHx8fsrOzIz09vbdeNsT/dboVCAQEgPT09Gj79u3E4/FIJBLRjRs36uDImLpUUlJCIpGIxGIxxcfHcx2HYdSWWnfCvXDhAgC80e9IW1sb+fn5dZrlzp07aNq0Kf73v/8hOTkZu3btemc179GjBzQ0NODp6QlPT0/l8wqFAtnZ2dDT06twyU+hUMDe3h4JCQmYOHEi7O3t0b17d3zzzTe4fft2rR8bU3dmz56N8vJy7N27l83jxDAqUudNyVu3bg3g1Th7/6Snp6cczaGuCIVCPHnyBM2bN8fx48ehr6+vvFTn4OAAJycnGBkZQSgUokmTJhgxYsQbk+rx+XyYmJhUKEw//fQT9PX1kZCQgFGjRoHP5ysv57m7u9fpMTK17+DBgzAyMsKYMWO4jsIwDUadF6f27dtDX18fmzdvRmlpqfJ5Q0NDlJWV1XUciEQiPHjwAMePH0eXLl0AvBoGKTc3FxkZGdDW1kbbtm0xadIkODo6Ii8v753bOnz4MIyNjfH111+DiLB69Wplv6f9+/cDAIYNG1b7B8XUmadPnyIvL085wDDDMCqi6uuElbF3714CQNbW1vTtt9/S1q1bydTUlCoZhzPjx49/6/tQVlZGvXv3VjYdnzdv3ht9Wzp37kw8Ho/1eWlgfH19CQBFRkZyHYVh1J5a33MCgDFjxiAoKAh79+7F6tWrlc+LxWIu4lRa8+bNAQC3b9+Gv78/ACA4OBi9evVCbm4u2rRpg6CgIOjo6FRYLzU1FXfu3IGpqSkbALYBuXTpEoKDg9GhQwd2uZZhVIyzT8pdu3ahtLQUEREROHr0KG7duoXc3FxOshQWFlaqkUKbNm0AADdv3kRhYSHGjRuHdu3aoaCgAOvWrUNwcPAbhSkxMRGurq4oLS3FypUrayU/U/eKi4vRv39/CIVCHD58mOs4DNPwqPpU7H0KCgro2bNnNdqGqjx58oQ+++yzCrO76urq0u7du9+5TklJyRvNxu3t7d8542tcXBxpa2sTANq5c2dtHQrDgQ4dOhAA2r59O9dRGKbeULvhi5YsWUJaWlrKD3RjY2Pau3dvtbalCgqFgiQSiXI4o+7du9PUqVNJS0uL+Hz+G9O2/1NoaChNnjyZxo8fTydOnHjncs+ePSOxWEw8Ho/27dtXG4fBcGTjxo0EgLp168Z1FIapV9SqOIWEhBAAEggENHDgQPLy8iIAJJFIqrwtVRo6dCgBICcnJ4qIiCC5XE4DBw4kADUeEy0iIoK0tLSIx+OpZDBbRn3ExcWRQCAgPT29Sg8IzDDMK2rVICI6OhoAIJfLceLECeXzffr0qe1dv9fRo0cxZcoUbN26Fc2aNQOPxwMRwc7ODj4+PlXeXnl5OdasWYNt27YhPj4ePB4Px44dw6BBg2ohPcMFhUKBTp06QS6X48yZM5UeZ5FhmKqr9eI0evRoFBUV4dixYzA3N4evry969OihFmPMbdmyBd999x0WLlyIlJQUfPzxx1iwYEGVW9T9+OOPWLhwIYgIIpEI/v7+WL16tbJ1H9MwTJs2DS9fvsSMGTPg5+fHdRyGadA4Gfi1oTExMUFWVhaEQiF++OEHfP311+xbdQNz5coVdOnSBY6Ojnj+/DnXcRimXqpKLWGdblTg+vXr6Nu3L/h8PhYsWACJRILBgwdzHYtRkeDgYPTu3RtCoRBXr17lOg7DNAqsOKmAu7s7/vzzTyxZsgQCgQByuRy3bt3iOhajAhs3bkS7du0glUpx8OBBWFtbcx2JYRoFVpxqqLi4GCtXroSBgQHmz58PLS0tLFmyBMnJyVxHY2pAoVBg6NChmDlzJvT19fHo0SMMHTqU61gM02hwMnxRfZSfn49Zs2bhxo0byMnJQWFhIcrKyvD6lp22tjaWLFmCgIAAlQ1RdPbsWYSFhVWrkQZTfdnZ2fDx8UFsbCxatWqFmzdvslltGaaOseL0AcnJyZg8eTLOnDkDhUIBiUQCfX19ODs7K6fX8PHxwZQpU1RWQI4dO4Zp06YhPT0dADBq1Cg4OTmpZNvM+929exedOnVCSUkJpk6dil9//ZXrSAzTKLHi9AEODg4oLy8Hj8fDvHnz0K9fP2hra8Pe3l7lU3HfvHkT48aNU04JDwCdOnVihamO5Obm4uOPP0ZZWRkOHDiAUaNGcR2JYRqtRtGUvLS0FEeOHMGVK1dQXFyMVatWwc7OrlLruri44NmzZ288z+fzkZeX98ZAr9Xx9OlTjBo1CuHh4eDz+XByckJMTAzMzc2RlJTELunVAYVCATc3N8TExGDfvn0YPXo015EYpsGpSi1p8GdOO3bswPTp0ytMbJiSkvLeJsExMTFYv349bty4gfz8fDg5OaFz587w8vJCSUkJnj9/ju3bt2PJkiVYs2ZNtbOlpqZi9OjRuHTpEgCgW7du8Pf3x7fffgttbW0EBwezwlRHxo4di5iYGEyaNIkVJoZRB6oeD0ldFBQUkJ+fn3JcP5FIpBx0NiEh4Y3ls7KyqF+/fqSnp6ccoFYkEpGZmZly0FqxWEyLFy8mIiJtbW0yNTWtdrahQ4cSj8cjANSqVSuKioqio0ePEgDS09OjpKSkGh0/UzlyuZz69u1LAMjLy4vrOAzToKnVwK9c+WeRef3w9/d/52CdhoaGBIDMzc1p3LhxFBYWVuH1n3/+mQwMDAgA9e3blyZOnEgAyM7OjsLDwyuVSSqV0rRp00goFBIAcnZ2plu3bilfb9myJfH5fEpLS6v2cTOVl5OTQw4ODgSA2rVrxwZyZZhaxooT/f9iIxQKydvbm6Kjo9+5bFBQkPIM5n3TqMvlcuXZmLe3N3322WfKsx9nZ2caO3YsnThx4o33KTIykgYMGECamprKAvjv6TbS0tJIQ0ODXFxcanbgTKVs2bJFOW3K9OnTuY7DMI0CK070qpC8r9D8U0FBAYnFYmUx69ChA/3111/vXH7IkCHKy37GxsYkFouJz+e/caYmEAgqzGNlbW1NW7ZseWN769evV55NbdiwodrHzHxYYGAgmZubEwDS0tLidF4xhmlsWHGqBqlUSuvXrydXV1dlMZFIJDRkyJC3Xu5ZvHgxubu7k5mZmbKwvf7A8/b2pgEDBpCfnx95eHjQ4MGDKSoq6q37vXjxovI+0/nz52v7MBudkpISOnnyJHXv3l35RUEoFNK0adNIKpVyHY9hGpWq1JJG0ZS8qnJzc/Hjjz9i69atKCgowLlz5+Dv7//edYqLixEQEIBNmzZBLpdDJpNVal9eXl54/PgxsrOzVd5vqjEoLCxESEgIwsLCEBkZiefPnyMpKQlZWVkoLCyEXC5XLmtjY4MRI0Zg0aJFKukCwDBM1VSllrDi9B5NmzZFbGwsysrKKt2k283NDQkJCSgqKvrgss+fP4ezszM6d+6My5cv1zRuo3H37l2sWLECly5dQm5uboXX+Hw+tLW1YWRkBEtLSzg4OMDLywuTJk2CiYkJN4EZhgHA+jmpRGFhIWJiYtC+ffsq9TXKzMyEvr5+pZZ9PZAoGyKncg4ePIj58+cjPj4ewKt5tPr16wdnZ2fY2NjA2toa5eXlyM3NRZcuXeDp6clxYoZhqosVp3dYvXo1iAhff/11ldYrKCiAh4fHB5ebP38+7t+/j4EDB8Ld3b26MRu0oKAgrF+/HmFhYUhNTa3wGo/HQ2ZmJk6fPv3O9Q0NDfGf//wH33//PRsCimHqGXZZ7/88f/4cP/30Ex49eoQXL14gOTkZGhoaFUaWeJfMzExcv34dISEhWLlyJfr374+TJ0++c/ng4GC0a9cO5ubmSExMZKNAvEVxcTG0tbXf+pqenh6cnZ3RtGlT6OnpQU9PD/r6+tDX14ehoSF0dHRw9OhRnDlzBjk5OQAAU1NTDBw4EAEBAbC1ta3LQ2EY5v+wy3pVdOTIEYwcORJEBD6fDz09Pbi7u2P+/PnKZRITE3H16lXcvXsXkZGRePHiBdLT01FQUACFQlFhe3369Hnv/iZNmgQAuH37NitM7yCRSLB27Vo8e/YMXl5e0NTURJMmTdC9e/dKTV8xYMAAAMDDhw+xdOlSnD9/Htu2bcO2bdtgYWGBM2fO4KOPPqrlo2AYprpYccKrsfSICJqamtDX14dIJEJJSQkCAgIwZcoUFBUV4Z8nmDweDxKJBCYmJvDy8oKbmxtatWqFjh07wsPD470F5+HDh4iIiED37t0rPfhsY1XVS6pv07x5cxw9ehQAEBoais8//xwPHjzAlStXWHFiGDXGLusBkMlk6NmzJ549e4by8nJIpVJIpVLweDyYmprCzs4OHh4eaN26NTp06FCj+xdt27ZFcHAw4uLiWHHigLe3N8LDw1FcXMwmEGSYOsYu61WRUChUjgxe20JDQ9GyZctqFyaFQoFly5Zh0aJFWLJkCb7//nsVJ2yYAgMDMWXKFGRlZcHHx4cVJoZRc6w41aEnT55AoVCgc+fOVV63vLwc06dPx7Zt25TP/fteV2NVXFyMefPm4cWLFyguLkZJSQlKSkpQWlqK0tJSFBYWIjMzExoaGpg7dy5WrlzJdWSGYT6AFac6dObMGQBA9+7dK72OQqHA0qVLsWTJkgr3vW7duoV27dq9sbxMJsOdO3fQoUOHmgeuB3788Uf88MMPKC8vB/CqEy6fz4dAIIBQKIRQKISGhgaGDRuG3bt3QyKRcJyYYZjKYMWpDt28eRMA0LVr10otv2fPHsyaNavCKAgzZszAzz///NZGFzExMXB1dQUA3LlzB76+vjUPrab+/vtvjBs3Dunp6dDX18fu3bvZtOoM04Cwdswqkp6ejuHDh0NfXx88Hg9isRiFhYXK13Nzc3HmzBno6+t/8H7HpUuXYGtriwkTJigLk729PaKiorBhw4a3Fqb4+Hh4eXkp/+3j46OaA6uByvQRq6r4+Hi0bt0avXr1QnZ2NubMmYPs7GxWmBimgWHFqYYiIiLQoUMHmJub4+jRoxCJRABefTD/swj16NEDZWVl2LVr1zu3VVxcjE6dOqFbt25ISkpSPv/6fkrTpk3ful55eTlat26NsrIyAMCmTZs47z/15MkTiMVi8Hg8+Pn54fbt2zXa3tOnT/Gf//wHDg4OCAsLQ48ePZCRkYF169ZxfqwMw9QCVQ9z3ljExcWRu7u7cqqMli1b0vXr16lXr14EoMI8QXv37iUA1KdPn3du79y5c6StrU0AqFOnTjR06FACQLNmzfpgFh8fH+VUEAKB4K3T0HPBwsLijTmudHV1ydHRkbp160YzZsygvXv3Unx8/BvrSqVSOn/+PM2aNYtsbGyU6zs7O78xSzHDMPUDm8+plmVkZChnUfX396fY2Fgi+v9zM7Vu3brC8iNHjiQA75wGfMKECQSANDQ0aPv27UREpKOjQ6ampu/MIJfL6dy5c+Tl5UUAaODAgTR27FgCQDwejz7++GN69uyZio64+sLDw8nMzOyNIvW2B4/HI4FAQCKRqMLzIpGI+vfvT5GRkZXa54MHD6hPnz6kr69P2trapK2tTRKJhCQSCYnFYhKLxaSlpUXa2trUqlUrWrZsGWVkZNTyO8EwDCtOtczf358AUO/evZXvSVpaGmlra5NQKHzjg65Xr17E4/Heuq3+/fsTAGratCmlpaUREdH169cJAM2cObPCslOnTiUXFxflGdbrD/TevXsrZ/0NDQ2lli1bKl9v06YNPXr0SNVvQZXdunWLxo4dS5aWlpUqVEKhkJo3b07Lly+n6OjoD85qXFBQQHPnzq1QCC0sLKhp06bk5uZGbm5u5O7uTh4eHuTp6UnNmjUjR0fHCjMYGxkZUd++feno0aOVnkWZYZjKY8Wpls2ZM0f5gWZsbExFRUVkamr6xuW819q3b09CofCt2+LxeOTu7l7huUOHDr2xrfXr1xMAEovF5OTkRL1796ZFixZRSkrKW7cbERFBbdu2VeZ0dHSkhQsXqsX/oVwup9jYWDp8+DAtXLiQRo4cSW3btiV7e3vS19dXTln/74eGhgYZGRmRi4sLderUicaPH08zZ86kFi1aEI/HIwCkra1NI0eOVJ7NVibLyZMnaeDAgcr/QwDE5/PJ0dGRpk6dShEREbX8jjBM48CKkwrI5XI6fPgwjR49mu7evUtERMuXL6/wASYWi2nPnj3k6OhIAGjVqlVv3ZaXlxdpaWm99TUej0e+vr4Vnjtx4gQBoG+++Yb8/PzIzc2NBAIBSSSS936jLysrI19fX+W9J6FQqPzQ/udjw4YN1XxX6o5UKqXw8HDauXMnzZkzhwYMGEAtW7YkKysr0tbWrnDGIxAIyNvbm44fP17j/ebk5NDq1aupTZs2ymndX/9f+/r60rp16xrV7wHDqBIrTjUQERFBbdq0IYFAoPxgMjc3pxkzZii/mY8ePVp5E/91Y4QZM2a8c5uOjo6kp6f31tdeFx6pVKp8Ljo6ukIxkUgkZGdnR5cvX35vdl9fXwJAXl5e1KFDB2rfvj21bduWfH19qXXr1mRiYkJisZiuXr1a9TdGDRUUFNT6fbUHDx7Q5MmTycHBoUKhNzMzo927d9fqvhmmoWHFqZJOnTpFvr6+5OzsTN988w21bt1a+eHTvHlzWrVqFXXu3Fn57dzCwqJCEXl9v2jw4MHv3Y+FhcU7Gzds2rSJANDPP/9c4XkrKysCQJMnT67UscydO5cAUL9+/Sq1PFN1UqmUDh8+TL1791aeVfXp06fCzwTDMO/GitMHpKWlKZuB83g80tTUVBYlPz+/Ct/GX9//4fF41L59e+XzU6dOJQDUrl27D+7P0NCQbG1t3/qaXC4noVBIrq6uFZ6Pjo6mrVu3VvqYzM3NSVdXl93IryMFBQXUpk0b5X3HBw8ecB2JYdQeK04f8PqsZNiwYVRQUEByuZz27dtH0dHRbywrl8uJz+eTUCgkoVBIn3/+OQ0YMIAAkIuLS6WKgUQiIXt7e5LL5XTmzBn6/PPPK3yYtW7dmvh8fo2OSSAQUJs2bWq0Dabqli9fTnw+n3g8Hi1btozrOAyj1lhxeo9nz54RAPrkk0+Uz507d44GDx5MU6dOfWuxcXZ2Jj6fTxoaGsozLBcXFyopKanUPv/ZtPv1o2/fvsrX7ezsSEdHp9rHFBkZ+dam50zdePToERkbGxMA8vHxoYKCAq4jMYxaqkotaXTjvpw6dQrAq8FXExMTleO0HT9+HJs3b8bBgwffWOe7776DQqHA3LlzkZeXh6SkJERHR1d6TqC7d+8iICBA+W8rKyscOHAAAFBYWIiEhIR3Dk1UGWFhYQCANm3aVHsbTPU1a9YMqamp6Nu3L0JDQ2Fubl5n84MxTIOl6mqn7gwNDUlTU5MmTZqkbI7cs2dP8vb2Jh6PR0VFRW9dT0dHhwwMDKq1z4SEBOU36yFDhlQ4O/v8888JAJ08eZJKSkooMDCQFi1aRHPnzlV2yv2QLVu2KLfBcGv37t3KflrTp0/nOg7DqBV2We8doqKiKlxas7GxoTt37hAR0YgRIwjAO/vKDBw4kABUuWVWUlIS6erqEgBau3ZthdfkcjlpaWmRqakpBQYGVmiY8frh4eHxwebSrzvozp49u0rZmNqRkJBAdnZ2ysu/7+oozTCNDStO7yCXy5X9fv7dEbWgoIAEAgFZWlq+sc7OnTsr1Qn2bft7PZzOzp0733h99erVBIAmTJhAPB6PtLS0aPXq1RQaGkqXL1+mDh06KJ9/31lURkYG6evrKwtuSEhIpTMytUMul9OkSZOUI1vMmTOHNTlnGj1WnKph586dyqbkeXl5tHTpUvLw8FBe+hMKhVUeDXvWrFkEgAICAt76uqmpKWlpaZGtrS0JhcK3jiZ+/PhxAlChGfvbyOVymjJlijJvnz592I15NXDmzBkyMTFRjjKxdOlS1tyfabRYcaoGQ0NDAkAGBgYVBh9t2bIlrVu37p33ot5FKpWSUCgkc3Pzt75+8uRJAkATJ04kANS1a9d3bqtTp04EgM6fP//B/cbHx9NHH31EwKvRvDdt2lSl3Ezt2LBhg/LyrpmZGYWGhnIdiWHqHCtO1TB27FgyMzMjc3Nz6tmzJ504caJG33DXrl1LAN5ZHJo2bUp8Pp8KCgpIV1eX9PX137mtrKwsEgqFZGFhUen9Hz58mHR0dAhAlTrzMrVHLpfTt99+qzy7nTp1KteRGKZOseKkBmxtbUkkEr21wD169IiAV3NBEf3/oYf27Nnzzu3169evyv8HWVlZpKenRzwej92UVyOxsbFka2tLAOjw4cNcx2GYOsP6OXEsJiYGL1++RM+ePd86hfiXX34JANi8eTMAYNmyZRAKhfj+++/fuc0uXboAQJWmOzcyMsLGjRtBRDh79mxVDoGpRQ4ODnj8+DE0NTXx6aefory8nOtIDKN2WHGqBd999x0AYOXKlW+8lp2djevXr8PLywsODg4AAJFIhP79+yM+Ph6HDx9+6zZbtWoFAAgPD69SFn19fQDAs2fPqrQeU7t0dHTw008/oaioCDNnzuQ6DsOoHR4R0YcWys/Ph76+PvLy8qCnp1cXueothUIBiUQCExMTJCYmvvH6mDFjsH//fgQFBaFr167K55OTk2FnZweZTAYTExO0bt0a9vb2ICIoFAo8efIEN27cwKlTp9CvX79K57G1tUVSUhLS0tJgYmKikmNkVMfIyAhEhJycHK6jMEytq0otEdZRpkZj3759KCsrw9SpU994TSaT4ejRo7C0tKxQmADA0tISWVlZ+Prrr3H06FGcO3fujfU1NDTQq1evSmfZvn07EhISMHHiRFaY1NSQIUOwfft23Lx5E35+flzHYRi1wc6cVKxdu3YIDg5GcXHxG2Pvff/991i6dCm2bNmCyZMnv3c7MpkMubm5EAqFEAqF4PP5EIlEEAor933i2LFjGDZsGMRiMXJyciASiap9TEztSU5OhpWVFbp3744LFy5wHYdhalVVaglnxSk/Px/79u1DYmIi5HI5WrVqhfbt28PGxkYl2+dKkyZNQERIT0+v8PzDhw/RqlUraGtrIycn560NJVRl//79GDt2LLS0tBAeHl6jQWWZ2ufo6IjExESUlpbW6s8Fw3CtKrWEs9+E0NBQfPnll1i5ciUOHjyIkSNHwt7eHhMmTEBcXBxXsWrM3t4eGRkZ8PT0xPDhwzFnzhxMmjQJ3t7eICJcvHixVj+Arl27hrFjx0IikeDx48esMNUDX3zxBaRSKXbt2sV1FIZRH6pum15ZZWVlNGPGDAJAs2bNovT0dNqwYQM1adKENDQ0aOrUqRQZGamy/dUVqVRKPXv2JIFAUGEAV319fbp48WKt7js2NpZEIhEJhUKKioqq1X0xqlNWVkZ8Pp+aNWvGdRSGqVVVqSV1dlmvtLQUP//8M44ePYrExMQKl720tLSQkpICAwMDFBUVYePGjVi3bh0yMzPh5+eHSZMmYeDAgTAwMKjWvrmiUCiQkJAAgUAAa2vrWt1XYWEhbG1tkZubi7Nnz8Lf379W98eolq+vL0JDQ5Gbm8vu6zINVp3fc/rjjz+wZ88epKenIz09HVpaWvjkk08wb9488Pl8hIeHY9CgQUhKSsLIkSPh6uoKa2tr5cPGxgY6OjoVtllWVoaTJ09i27ZtuHjxIoRCITp27Ij+/ftj/PjxMDQ0rOLbAiQmJuLIkSO4f/8+5HI5FAoFAKB58+bo3bs3mjdvXi+v+SsUCri5uSEmJgYbNmzAjBkzuI7EVNHJkycxcOBAzJkzB+vWreM6DsPUiiqd6NT0VEyhUNCYMWNIR0eHJkyYQN9++y2NHTuWANBff/1FRETjx48nBwcHevr0aRVOAP+/ly9f0po1a5TTpC9fvvyD6xQVFdGBAwdo1KhR5OLi8ta5kv794PF4ZGBgQG5ubuTh4UHu7u7k5uZGy5Ytq1buutKjRw8CQFOmTOE6ClMDHxpjkWHqu1q7rNe2bVuUlZWhoKAA+fn5KCgoQGlpKXR1dSGXy5GXlweBQAAiQvPmzUFEOHDgAAYNGoTevXvjf//7X5UrrVwux19//YWZM2ciLS0N06dPx7Nnz/Dy5UsUFBTA0tISVlZWyMjIQGpqKjIzM5Gfn4+ioiLlNsRiMRwcHODr64sBAwagd+/eyqbVMpkMV69exfnz5xEaGoro6GhkZ2cDAHg8HmQyGcrLy9GxY0dcvHhR7Zpkz5w5Exs3bkTnzp1x+fJlruMwNTB79mzlpe+hQ4dyHYdhVK7WLuuNGDEChoaG0NPTg66uLnR1dSEUCnHnzh1kZmbir7/+Ul4Wu3//PkaPHo3nz5/D09MTGRkZePLkCbS1tT94AESE8PBw7N+/H4cOHUJycjJ69OiBDRs2oFOnTsjIyIBIJIKGhgZKSkqgUCjA4/GgqakJbW1tGBkZwcPDA/7+/hg2bFiNOqDKZDL06dMHFy5cgLGxMW7fvg0XF5dqb0+Vtm7diilTpsDBwQHPnj2rl5ckmf+vuLgYurq6cHFxQVRUFNdxGEbl6vSy3vvk5OSQQCCgb7/9lkQiEa1bt+6D66SlpZGvr69y3psZM2bQ7du3SaFQUJs2bQjAG5fZ6mKG0eXLlxOPxyMjI6Na31dl5OTkkFAoJD09PTZafAPSvXt3AkDR0dFcR2EYlVObKTMePHhAIpGIVq5cSQMHDqQ2bdq8d/k7d+6Qg4MDNWnShP76668KRWfKlCkEgAYMGFClDKo0ffp0AkCBgYGcZXitd+/eFe7rMQ1DZGQkAaBevXpxHYVhVI7z4iSXy2n79u1kbGxMzZs3p+LiYtq1a9dbt1FeXk6BgYHKb4wAqHnz5hQSEkIlJSUUFBREzZo1IwDk7OzM6RTXRUVFxOfzqWnTppxlICKKiIggAOTl5cVpDqZ2ODs7k0AgoJKSEq6jMIxKcT6fU1BQECZNmgQtLS2cO3cORITIyEgAQHx8PIBXY4otXLgQtra2GDp0KIqLi7Fnzx707dsXDx8+RJs2bSAWi9GtWzc8fvwY3bp1Q1hYGKf3VSQSCbp3746nT5/iyZMnnOUYMWIEAODo0aOcZWBqz+LFiyGXy987vxfDNHS10gm3vLwcvXr1wuXLl+Hj44OXL18iKysLEyZMwIYNG/DixQt07twZpaWlGDt2LCZPnozmzZsr17906RJu3LiBZ8+eQVNTE6tWrYKRkVHNjlRFYmJi4OrqCkNDQ0RFRcHMzKzW93nhwgXMnTsXurq68Pf3x8KFC9GvXz+cOnWq1vfNcENfXx9yuRz5+fmsoQvTYHA68CsRoWXLlnjw4IHyuc8++wwLFiyAo6MjAKBz585IT0/HtWvX6uVUDhs3bsTMmTOhp6eHJ0+ewNLSstb21adPH5w9exY8Hg+v/6uEQiGysrIa1EgCCoUCL168gEKhAJ/PB5/Ph0AgUP799cjs//y7lpZWpUdpr29WrFiBBQsWYNGiRVi8eDHXcRhGJThtrZeYmKi8d7R8+XJ68eJFhddDQkLUplFBTWzdupUAkI6ODsXHx9fafiwtLUlbW5tycnIoLS2NpkyZQocOHaq1/dWVq1evUvv27cnS0pK0tLQ+2EH6fY+9e/dyfTgqJ5fLSV9fn8RicZ20RmWYulCVWqLyr51WVlaQy+XvvBSxdu1aODk5YeDAgaredZ364osvoKmpiYkTJ8Ld3R03b97ERx99pPL9aGpqQiAQKMcV3Lx5s8r3UZdu3ryJSZMmISoqCjweD4aGhnBycoKTkxOcnZ0hFApBRJDL5coZYm/evImEhASUlpa+dZv/njerIeDz+Vi2bBlmzJiB7777jg1pxDQ+qq5275OZmUl8Pp82btxYo+2ok0OHDhGfzycej0cTJ05UeWvCbt26EQC6ceOGSrdbV4qKiujWrVs0Y8YMcnBwUA4T1bdvX0pLS3vvuosXLyY+n688QzIwMKDWrVvTzJkz6eLFi43ijMLY2JhEIhGVlZVxHYVhaozzpuRvo1Ao6LvvviMA9OzZs2pvRx1FR0eTo6MjASAjIyO6evWqyradlJREfD6frKysKlX4CgoKqKCgQCX7jo6OppSUlCqvl5SURP369SOhUFjh8puWlhb16tXrg9tMSEigpk2bEgAyMTGhkydPNopC9DZ79uwhAPT5559zHYVhakwti9PixYsJAK1evbra21B3S5cuVc7jNGjQIJV9230975W7u/t7tzl9+nTi8XgEgBwdHWnhwoVV/j8LDw+ntm3bVigs2tralTpzk8vlNGPGDGUGJycnGj9+PC1atIjCwsIqtf+1a9cq38OxY8dy2q9NXVhYWJBQKKSioiKuozBMjahdcdqxY8dbhx1qiJKSksjLy4sA0NSpU1W23QkTJhAAsrGxeeuZ0fr165Wvf/zxxyQSiZTF5XWhet9ltBMnTpCLi4tyHU9PT5o+fTqNHz+ehEIhCYVC2rNnD0mlUgoLC6M7d+5QXFwclZWVkVQqpeXLl5OJiYkyQ0hISJWOLy0tTfm+GRgY0PXr16v8HjVUx48fJwD0ySefcB2FYWpEbYpTeXk57d+/nzQ0NOiLL74ghUJRpfXrMz6fTx07dlTpNufOnUsAyNTUtMKlsaSkJBIIBGRgYFDhzOrEiRPUqVOnCoVKW1ubvL296dtvv6XZs2eTm5ub8iyJz+dT796932h9eP369UpNOaKpqUlz586t8nFdv35dOR3K4MGDG+0lvPexs7MjPp9fqy1DGaa2cVacFAoFhYeH05YtW+jTTz8lCwsLAkD9+/en8vLyyqWv58rKymjUqFHKYZhUbdWqVQSABAIBzZkzh+RyOc2ZM4cAvHMaeLlcTqdOnaJPPvmE7O3tK0whLxKJyMvLixYsWPDee1VlZWU0ffp0GjhwIAUEBNCyZcto9uzZNGHCBBo0aBD9+uuv1boEJ5fLydjYmAQCAZ07d67K6zcWV69eJQBkbGzMhjVi6q1aLU65ubm0cOFCat68OTVt2pScnJyoXbt2NHr0aGWjAIFAQC1btqSZM2dSeHh4TY+nXjh+/Di1bdtW+cHv7OxMUVFRtbKvy5cvk7m5OQEgQ0NDMjMzIw0NjSpt486dOxQaGlor+aridWENCAjgOorae/3FxNPTk51dMvVSrU02mJeXh5kzZ2LPnj0YN24cTExMIBAIkJqaimfPnsHNzQ2jR49Gu3btIJFIPrTZBuHIkSMYP348SktLwePxYG5uDh8fH/j4+MDc3ByWlpawtLSEra0tDAwMVDoUzZIlS/Djjz9CKpXC09MTERERKtt2XUhOToaNjQ3MzMyQkpLCdZx6YcyYMdi/fz90dXWxb98+9O/fn+tIDFNptTpCxL59+5RnBitXrqxWU+OGZPDgwcq+O69bqb3rIRQKVT6aQV5eHo0fP75eNiDw9vau1324uLJu3TrlPTp3d3datGgRZWRkcB2LYT6oVs+c9PT0EBoaio0bN+LIkSMoLy9Hhw4dMHLkSEyePBkCgaAGdbX+eT1NupaWFpo3b47OnTujY8eOMDU1RXJyMlJSUpCamoqMjAzs3bsXRUVFmD17Nn766Seuo3MqMDAQw4YNg7+/P86dO8d1nHonNzcXgwYNwo0bNyCTyQAAxsbG6NSpE6ZOnYoePXpwnJBh3lRnA79mZ2fjxIkT+OyzzwAAsbGxcHBwqGH8+kWhUCAhIQF2dnYfXDY3NxfNmjVDUlISwsPDa2W4o/pAJpPByMgIZWVlyMrKgo6ODteR6i2FQoFz587ht99+w/Xr15GdnQ3g1eDA7u7uGDJkCL788st6OcAy0/DU+sCviYmJdOjQIZo+fTp5enoSAJowYUL1z/UaKLlcThERERVascXGxhKPxyNnZ2cOk3Fr6tSpBIDWr1/PdZQGJyUlhQICAsjT07NCq0wTExMaPHjwO1t0MkxdqLXWesOHDyd7e3vlD7yLiwtNnDiRLly4UOPQDdGsWbOU/Yfc3NyUwxoNGzasUd9r6dKlC/F4PNbirJa97kLQv39/MjQ0rNB9YPDgwZSQkMB1RKaRqbXi1KpVK5o9ezYdO3aMUlNTaxy0oTtz5gwBID09PeUAplOnTqWUlBQCQN27d+c6IideN4k+deoU11EalZSUFFqwYAHZ2NgoC1WrVq0+OAAvw6iK2owQwRCJxWKytramtLQ0ZT+w7du3k1gsbrSX9pKSkggAjR49musojVZoaCh16NCBAJCGhgbt2bOH60hMI1CVWsLmf65lRkZGKCoqgpmZGcLDw6Grq4tJkyahpKQEPj4+XMfjhKWlJQwNDXHw4EGcPXuW6ziNUuvWrXH9+nWcOXMGGhoaGD9+PPz9/VFeXs51NIYBANSL4nTjxg1s27YNp06dglQq5TpOleTn58PQ0BAAoKenh6ioKPTp0wd6enr46quvOE4HEBHCw8Nx7NgxvHz5ss72e/36dWhoaKBfv34ICgqqs/0yFfXu3RtpaWlo164dzp8/DzMzM9y+fZvrWAxTt5MNVlVaWhqNHj26QkdWa2trWrNmDRUWFtZpluoSCoWkp6dH+/bto8DAQMrKyuI6EhER5efn08qVK8nDw0P53mpoaNDff/9dZxkePHhAIpGIBAIBXb58uc72y7zdzz//rGzht3DhQq7jMA1Qg7jndOjQITIyMiIjIyPavXs3yeVyevjwIU2YMIE0NDTIw8ODIiMj6yxPdb2eRuL1w8HBgetIVFBQQO3btyctLS0aNWoUnTlzhlJTU8nd3Z2GDBlSp1nCwsJIQ0ODBAJBvRzloqGJjY1VjtvYsWNHNgMvo1K1Vpy+++67Wp/w7PXo1wBoxIgRlJ6e/sYykZGR5O7uTtra2hQcHFyreWpKLpdTUFAQjR07lgDQtGnTOM1TVFREnTt3Jl1d3TfeuxUrVpBEIqHi4uI6zRQSEqKcM+rOnTt1um/mTVKplHr06KHsH9XQZq5muFNrxUlDQ4NsbW1p48aNKpsK/N8GDhxIQqGQNm3a9N75nwoKCsjGxoZmzpxZKzlUzczMjEQiEaffREtKSqhnz54kkUjeepYSFRVFAOjEiRN1nu3WrVvKAnXmzJk63z/zpuXLlxOPxyOhUEgHDhzgOg7TANRaa73g4GC0adMGs2fPxuTJk2t+w+stXF1dIZfL4eLiAh6P987ldHR00LdvXwQGBiqHbFE3wcHBmDRpEuzt7ZGeno5PP/0UIpGIkywxMTEYMGAArl27hlOnTqFDhw5vLOPi4gIrKyucPHmyzvO1a9cOV65cAZ/PR9++fbFx48Y6z8BUNH/+fFy7dg0aGhr45JNP0KtXLxQXF3Mdi2ksqlPtfv75ZxIKhZSYmFizMvoWcrmcWrVqRQ4ODh+cOffZs2dkYmJCzZs3f+vlv7oUEBBA1tbWpK+vT5qamhVGKJdIJNSlSxdOzpri4uJo/PjxJBAIyMLC4p0NHvLz82nAgAHE4/Ho119/reOU/19cXJxyNINJkyZxloP5/7KyssjHx4cAkFgsZmdRTLXVeoOIvLw80tXVJTs7Oxo8eDAFBATQ/v37KTw8vEb3Kx4/fkxDhw4lADRw4MBKzawaERFBTZo0IScnJ9q/fz9FRUXVeUu+LVu2KH9x7ezs6KOPPqIePXrQN998Q9HR0XWa5Z/kcjm5urqSubk5/fLLL++dQXXKlCmko6OjFqM2FBQUkIuLCwEgS0vLRjNhpbrbs2cPaWlpEQBq27at2rQ8ZeqPOmmtd+XKFZoxYwZ169aNLC0tlWcJPB6Phg0bRi9fvqx04KdPn9Lo0aOJx+ORra0t7dmz54NnTf8UHR1N/v7+FVrFGRkZ0ebNmyu9jeqSy+UkFotJR0en1u7DVdfJkycJwHsbGcjlcvrtt98IAK1ataoO033YnDlzlPNkTZw48a1fVgoKCmjdunU0YMAA6ty5M3l7e5Obmxt5eHiwOY5qQUFBAXXr1k054/XQoUNZkWIqjZOm5Dk5OXT79m3asGEDmZubk0Qioblz59LRo0cpNDSUbt++TVeuXKG///6b/vzzT+UZxc6dO0kgEJCVlRX9+uuvNbr0FRcXR1evXqV9+/YpB1et7V+czz77jADQunXranU/1dG5c2dq167dO19//PgxdezYkQDQrFmzKnWmWteio6OVwz4ZGRkpG3JcvnyZmjZtWuELCZ/PJ5FIRNra2gSA+vbty3H6huvcuXPk4OCgfN/79evX6CceZT6M835OeXl59PXXX7/Rx+ffDwsLC+V0G++75FQdK1asIB0dHZLJZCrd7j8tXrxYOTq7un2w3759mwDQkSNH3nitpKSEAgICSENDg1xdXenSpUscJKyaJUuWVJgC4vVZeteuXenAgQNvjHBubW1NYrGYo7SNx8WLF8nV1VX5/7F48WKuIzFqrNZnwq2KjIwMJCQkQCQSQVNTE5qamhAKhbh79y6uXLmCNm3aYNiwYSqfQXfgwIEoKCj44NA4MTExCAwMxF9//YWMjAwYGRmhsLAQ+fn5+P777zF+/HgIhcIK6+Tn52PatGnYv38/zM3N8eLFC2hpaak0f00kJibC1dUVUqkU27dvh66uLrp27QoDAwMEBQVh6tSpiI+Px/z58zFv3jy1yv4+ycnJ+P7775GbmwsDAwOsXLnynZPoGRkZQUtLC8nJyXWcsnGRyWTo37+/coxENssz8z51NhOuOhsyZAju3LmDTp06QSAQQCAQoLi4GHl5ecjLy0NpaSmEQiHu3bsHbW1t9OjRA05OTsjOzsb58+eRlJQEAODz+cqBSg0NDSGXy3H79m0oFArY2dnh/v37MDAw4PZg/2XOnDlYv359hecEAgHc3d0RERGBTp06YevWrXBzc+MoYe0TCATw8/PDtWvXuI7SoPn6+iIkJAReXl74/fffG+3szkzlVKWWCN/7aj22cuVKzJ07F+np6ZDL5ZDJZJBIJNDX14etrS20tLRQUFCAr776CsOHD4dQKAQRQUNDA0SEgIAALF++HObm5igsLERmZibKy8tBRHB1dcX69evRu3dvrg/zrRYtWoQOHTrA3Nwcnp6eyM3Nxfnz53Ht2jXMnj0bEyZMAJ9fL8b8rZYLFy5AoVDA19eX6ygN2hdffIGQkBAMGDAAJ06c4DoO08A02DOnqjh+/Di+/PJLpKWlwcTEBLq6uoiLi4NCocDixYuxaNEiriMyVeDl5YXHjx8jMzMTRkZGXMdpsMzMzJCbm4vS0tIG/WWHUR125lQFWVlZGD58OPz9/TFo0CCkpqYiLy8PTZs2RYsWLdCyZUuuIzJVEBwcjIiICHTu3JkVplo2adIkrFixAtu2bau1EWOYxqvRnzk9ffoUbm5uuHLlCj7++GOu4zDV9Pvvv2Px4sV48eIFeDweHj9+DHd3d65jNWgymQza2trQ19dHamoqO3tiPqgqtaTR/zRZWlpCR0cHFy9e5DoKUw0HDx6Erq4uxo8fj4SEBPTr1w8vXrxghakOCIVCzJkzBxkZGRg8eDDXcZgGptEXJ11dXXz66afYvHkz4uPjuY7DVNH06dNRVlaGefPmoaioCKdOnYKdnR3XsRqNFStWwMfHBydPnsTPP//MdRymAWn0xQkA5s6dCz09PbRu3RrXr1/nOg5TSYmJicjOzsaAAQOwYsUKzkZ8b+yuXbsGQ0NDzJkzB4GBgVzHYRoIVpwAWFtbIyQkBO7u7hgyZAhKS0u5jsRUQlhYGIBX020w3NHS0kJ4eDi0tLQwfPhwnD59mutITAPAitP/MTExwbZt25CRkYFDhw5xHYephG7dugEAbt26xXESxs7ODg8ePICmpiYGDBiACxcucB2JqedYcfqHpk2bok+fPvjll19QiUaMDMd0dHSgra2NkydP4rvvvmMT4XHMxcUFd+/ehVAoRO/evdnoHEyNNPqm5P92/vx5+Pv74/bt22jbti3XcZgPOHv2LMaMGaOcDdnMzAzh4eGwtLTkOFn9MGzYMFy+fBlWVlawsLCAkZERbGxsYG9vDz09PcTExCAmJgYJCQlITU1FVlYWiouL0bx5cxw6dAgODg5vbPPevXto27YtiAjR0dFvXYZpnNjYejUgl8thaWmJsWPHYu3atVzHYSpBoVBg7ty5+OmnnyAUCpGWlsY64FaCQqGo1oDLOjo6KCwsBI/Hg7+/P/bu3fvGALzXrl1D586dYWJiguTk5DcGT2YaJ9bPqQYEAgEGDx6MY8eOsUt79cStW7fwyy+/QCgU4saNG6wwVRKfz4dUKsX169exaNEi9OrVC/b29h8sWIWFhTA1NYWZmRnOnTsHMzMz+Pj44MqVK8plOnXqhB9++AEZGRno0aNHLR8J0xCxM6e3uHjxInr06MEu7dUDL1++hIuLCxQKBW7dugUfHx+uIzVIMpkMMplMOV3M8ePHQUSwsLCARCJBbGwsiAgGBgawtLSErq4uCgoKEBkZCQBsjEoGALusV2MymQwtWrSAVCrFnTt32DdxNVVaWgpra2tkZ2fj7Nmz8Pf35zpSo5GcnIyxY8fi0qVLAF5NnWFlZYVbt24hLy8PUqkUGhoaKC0tVV6BCAkJYV8eGjl2Wa+GhEIh/vzzT2RnZ2PYsGFQKBRcR2Lewt/fH1lZWVi1ahUrTHXM0tISQUFBiIqKgre3N4KDg/HHH3+gffv2SE1NhVQqRXFxMUpLSzF58mTw+Xw28SNTJezM6T1OnDiBQYMG4eHDh/Dy8uI6DvMvRkZGkEgkSExM5DpKo3f79m2MHz8eMTExEAgEmDhxIjZt2sRG7WAqYGdOKvJ65IFnz55xnIR5m9LSUrWbhbixateuHaKjo3Hq1CmYm5tj+/bt0NPTw4IFC9iVB6ZaWHF6DzMzM2hrayM2NpbrKMxb8Pl8vHjxAoWFhVxHYf5Pv379kJiYiJ07d0IikWDFihXQ19fHL7/8wnU0pp5hxek9CgoKUFxcDGNjY66jMG+xadMmFBcXo0OHDlxHYf5l4sSJyM7OxqpVq6BQKDBr1ixYW1sjMzOT62hMPcGK03vk5eWBiN7oYNiQPHz4EMeOHcOff/6Jv//+G5cuXUJoaKja9/F6/vw5Hjx4gNatW+PBgweYPXs215GYt/j2229RUFCA6dOnIykpCU5OTnj58iXXsZj6gCohLy+PAFBeXl5lFm8w5HI5aWpq0i+//MJ1FJU6fvw4devWjSQSCQF468PExISioqK4jlqBVCql0aNHk6GhYYWsPB6PANCZM2e4jsi8x9atW4nH45FYLKaIiAiu4zAcqEotYWdO7xEZGQkej4eCggKuo6jMsmXLMHjwYAQFBcHQ0BBTpkzB9u3bsWXLFmzYsAFr167F6NGjkZWVhWbNmqnV/Dznzp3D/v37UVJSgpEjR+LMmTMwNTVVnuX169cPCxcu5Dgl8y5ffPEFjhw5grKyMrRs2RK3b9/mOhKjzlRd7RqS77//nsRicYM67qVLlxIAunjx4nuXu3HjBonFYgJAs2fPrtVMJSUltGHDBurYsSO5ubmRtbU1GRkZkaOjI61du5akUikRvTqT1dPTI7FYTHK5nIiIysrKqFWrVhXOpAwMDKhXr160bt062rZtG8XHx9dqfqZqLl68SEKhkAQCAZ07d47rOEwdqkotYf2c3uPUqVPo378/nj9/DkdHR67jqMSff/6JAQMGYNOmTZg2bdp7l83MzIS3tzdevnwJOzs7jB49GkSEkpISyGQyzJ07F7a2tm+sV15ejiNHjiA4OBiZmZkwMzODra0t7O3tYWBggCdPnuDp06d4/vw5IiMj8fLlSxAReDweJBIJNDU1IRaLkZ6eDqlUCqFQiA4dOmDp0qW4e/cuZs+ejfnz52P58uXKfU6YMAF79uwB8KoV37+bL9vY2CA2NpYNQKom7t69i/bt20MsFiMvL4/rOEwdqVItUXW1a0hyc3NJQ0OD1qxZw3UUlUlKSiIANG3atEotL5fLafTo0SQUCt+4LzV37lzlcmFhYfTZZ5+Rra2t8h5QZR4SiYQ6depEu3fvVp4h/XPfmzZtIhcXF+XyhoaGxOPxSEtL643lN2zY8N59FxQU1PwNZFRmwYIFBIA2bNjAdRSmjrAzJxWaOHEiLly4gNjY2AbT253P56NFixYIDw+v9Drl5eVYtGgRdu/ejdTUVFhZWWH69Ok4duwYIiIilFPba2tro2XLlhgxYgQGDhwIS0tLJCcnIzo6GrGxscjLy4O7uzs++uijKs25lJqaioULF+Lo0aPKb9rLly/H/PnzKyyXm5uLgwcP4tKlS7C1tUWHDh3QpUsX1llXDclkMujq6kIikSArK4vrOEwdYGdOKvT48WMCQLt37+Y6isp8/PHHBIBGjhz5wWWLiopo9OjRyvtPPB6PNDQ0lGcjfD6fnJycaPr06XXWui8oKIj69OlDd+7cqZP9MbVn1qxZBIB27tzJdRSmDrAzJxV7fd/p0aNH4PPrfwNHhUIBb29v3L9/H+PHj8eyZcugo6PzxtnFypUrsWjRIpSXl0NDQwNSqRQAYGhoiHbt2mHixIkYPHhwg3hPGG6Ul5dDV1cXRkZGSElJ4ToOU8vYmZOKXb9+nQDQqVOnuI6iMnK5nDw8PCrck1m7di0VFRXR3LlzlX2J+Hy+8vWPPvqIbt26xXV0poGZNGkSAaCjR49yHYWpZayfk4p16NAB3t7e2L59O9dRVIbP5+PBgwcICAjArFmzYGxsjG+++Qa6urpYs2aN8r6OQqFAx44dERUVhfDwcOVguAyjKq/P2F9PTMgwAJsyo9J++eUXzJ07FykpKQ1yrL38/Hz4+vqirKwMCQkJkMlk6NSpEw4ePFilhgsMUxW3b9+Gn58fzM3NkZiYyC4RN3BsyoxaMGrUKEilUpw5c4brKLVCT08PDx48UA7MGRgYiKtXr7LCxNSagwcPolu3buDz+bh+/TorTEwFrEdiJZmZmcHMzAxxcXFcR6kVCoUC7dq1Q0FBAX799VcMGTKE60hMA/Xw4UMMGzYM0dHREIlE2LNnD5ycnLiOxagZ9lWlCqysrBrkrKtPnz6Fp6cn7t27h6FDh2Lq1KlcR2IaIIVCgWnTpqFFixaIiYnB0KFDkZOTg9GjR3MdjVFD7MypCqytrZGUlMR1DJW5cuUKZs6ciUePHgEAPvnkE+zfv5/jVExD9Pz5c3Tp0gUJCQmwt7fHxYsXK322pFAokJqaihcvXiAuLg5JSUnIzMyEnp4ejI2NYWpqCnNzc7Rq1QoSiaSWj4SpK6w4VYG1tXWDGEn59u3b+OSTTxAXFwcej4cuXbpg8+bNaNq0KdfRmAbojz/+wPDhwyGXyzFz5sxKz4ork8kwZswYHD58uNL70tDQgIGBAczNzQEARUVFKCkpAQDY2trCy8sL7du3R48ePWBtbV31g2HqDCtOVWBhYVGvL+vl5+dj6NChuHDhAvh8PoYOHYrNmze/czLF3NxchIWFISsrCyUlJSgtLUVpaSn69+8PBweHOk7P1EdLlizB4sWLoaWlhStXrsDPz69S6+Xn58PNzQ0pKSlwc3NDz549YWFhAWtra9jb26NJkybIzc1FWloaMjIykJqaikePHiE6OhoJCQmIjo4Gj8eDhoYGNDU1oVAocPfuXQQHByu7hPD5fOjr68PW1ha9e/fGl19+yQqWOlF1x6mGqqCggJydncnPz4/rKNWyfv165bBD3t7elJCQUOH10NBQ+uSTT8jGxoa0tbUrdL7996Np06YcHQVTnxw6dEg55FVVJoLMyMggY2NjAkABAQEqzZSWlkb79u2jqVOnkp+fH1laWlYY1FhfX5/69+9PKSkpKt0v80pVagkrTpWgUCho7NixpK2tTTExMVzHqbL169cTANLT06MTJ04onw8JCaGuXbtWmBFXV1eXXFxcqHPnzvTZZ5/R2rVraffu3XT48GHas2cPAaAhQ4ZweDRMfZGRkUGenp7Kny0rKytau3atci6ut4mPjyd9fX3liCV15fLlyzRy5Ehq0qSJsqD27duXMjIy6ixDY8CKkwrJ5XKaNm0aAaB9+/ZxHafKIiMjCQAZGRlRXl4eyeVy2rBhA1lZWSk/NGxsbGjq1Kn07Nmz927r6NGjBIC2bt1aR+mZhiAhIYFGjBhBmpqaBIBEIhENHjyY4uLilMuUlZXRwoULSSAQEADasmULZ3lv3bpFbm5uyuG7Bg0aRDk5OZzlaUhYcVKhGTNmEI/Ho+3bt3MdpVq2bNmivFyhq6ur/OUXiUQ0bNgwSkpKqvS2du/eTQBo3rx5tZiYaahefzGysbFRfjEyNTVVnim9/hJ148YNrqMS0auzqddzifH5fBoxYkSj/AxUJVacVOTGjRv1fjK08PBw0tfXJxMTE3J0dCQfHx9asWLFey+tvEtJSQkZGxsTj8dj02szNRIeHk5du3YlMzMzsrOzo65du9LWrVur9XNZ286fP08ODg4EgAQCAY0dO5aKioq4jlUvsSkzVOD1iAkymQyhoaFsaJX/Ex8fD1dXV/B4POTn5zeYCRgZ5kNOnz6NL7/8Ei9fvoRQKERQUBA6derEdax6hY2tpwLnz59HSEgI1qxZwwrTP9jZ2eHXX39FWVkZ5s6dy3Uchqkz/fr1Q3x8PI4fPw4A6NWrF3Jzc7kN1YCxM6d3GDx4MJ4/f4779++Dx+NxHUetyGQyiMViNGnSpF73+2KY6jp48CA++eQTuLq64unTp1zHqTfYmVMNpaWl4c8//8TkyZNZYXqLMWPGQCaTYebMmVxHYRhOjBo1CuPGjUN0dHSVRrBgKo+dOb3F2bNn0adPH8TFxcHOzo7rOGrHwMAAYrGYTavNNGqFhYXQ1dVFz5498ffff3Mdp15gZ0419PTpU4jFYtjY2HAdRS0VFBTAysqK6xgMwykdHR00adIEwcHBXEdpkFhxeovo6Gi4uLiwhhDv4OjoiHv37jWIQXAZpiY6duyIvLw8ZGdncx2lwWGfvv9CRLh37x5cXV25jqK2Tpw4AQBo3749RCIRPv/8c24DMQxH3NzcAADJyckcJ2l4WHH6l++++w7BwcEYM2YM11HUlqenJx49egR9fX1IpVJkZGRwHYlhOKGtrQ0AyMvL4zhJw8OK0z+sW7cOa9aswS+//IIBAwZwHUetTZo0CXl5eejWrZuy3wfDNDavi1N+fj7HSRoeVpz+z969e/HNN99g/vz5rIn0B6xYsQJ37txBnz59cPHiRXZvjmm0Xrx4AQDQ1NTkOEnDw5qS41XT8f79+2PcuHHYvn0769v0Hvn5+TAxMYFEIkF2djYrTEyjpqenBx6Pxy7rVRJrSl5Jcrkcv/zyC4YMGYLevXtj69atrDB9wJAhQyCVSrFr1y5WmJhGbfPmzSgoKGBXWmpJozxzSk5OxpEjR7B79248fPgQ06ZNw5o1ayAWi7mOpta2b9+Ozz//HG3btmXNyJlGz8zMDPn5+SgsLIRQKOQ6Tr1QlVrS6N5RhUKBNm3aICkpCV26dMGNGzfQvn17rmOpvYiICEyZMgU6OjoICgriOg7DcOqHH35ARkYG5syZwwpTLWl012X4fD7WrVsHPT09vHjxApU4cWz0li1bhhYtWoCIcO7cOUgkEq4jMQxnCgsLsWzZMhgYGGDNmjVcx2mwGl1xAoARI0bg/v37sLS0RKdOnbB48WLIZDKuY6mdCxcuwMXFBQsXLoSRkRHCw8Ph5+fHdSyG4dSECRMglUqxfft2dt+1FtWrd1Yul2Po0KHKEQpqwsHBAVevXsW4ceOwZMkSDB48uOYBG4iTJ0/C3t4ePXv2RGxsLEaMGIGUlBQ0b96c62gMw7mLFy/C3NwcQ4YM4TpKg1avLpaePHkSx44dw5UrV+Dn5wdTU1MAQGZmJvbu3Yvo6GgUFxejtLQU1tbWaNGiBZo3bw53d3doampCoVAgIyMDiYmJePjwIXbv3o1r167B0NAQ7dq14/jouKVQKLBv3z7Mnz8fycnJEAgEGDFiBLZs2QIDAwOu4zGMWnj58iXy8vLQp08frqM0fKqe9702tW/fnry9vcnIyIjGjBlD0dHRNG7cONLU1CSRSEQtW7YkPz8/6tq1Kzk6OhIAAkACgYCsra1JJBIpnwNAXbt2pQMHDlBJSQmnx8WVsLAwmjx5Mjk5OZFAICAAJBQKacKECVRQUMB1PIZRO99++y0BoKtXr3IdpV6qSi3hvCn567OZ5ORkpKSkICcnB2KxGNra2tDW1oampiZu3ryJI0eO4Pbt2zhx4gSys7Px6aefgs/nw8rKCtOnT8fEiROVZ1KvFRQU4NGjR3j48CFevnwJCwsL2NjYwMbGBvb29jA2Nlbpsai78vJybN68GTt27MDTp09RXl4OANDS0oKHhwf69++P7777DlpaWhwnZRj15OTkhISEBOXvDlM1atmUvKioCFeuXMHFixfx/PlzpKSkIDk5GWlpaZDL5e9dVyQSoVevXjhy5Aj69+8PADA3N8fz58/x6aefvrP1mK6uLtq3b9+om4orFArs2rULmzZtwoMHD6BQKCAQCODi4oKePXviiy++gKenJ9cxGUbtBQYGIjY2FgMHDuQ6SqNQ62dO5eXlmDRpEg4dOgSpVApbW1t4eXnBwsIClpaWFf60sLCAkZERSkpKUFxcjKKiIhQVFcHJyYnd96gChUKBo0ePYv369QgLC4NMJgOfz4eXlxemTZuGSZMmsVZGDFMFZ86cwX/+8x9oaGggMzMTOjo6XEeql9TmzImIMGbMGJw8eRIrVqzAf/7zH7i4uHxwiCCJRNLoLrmpwpkzZ7B69Wrcvn0b5eXl4PF4aNq0KT7//HNMnz4dIpGI64gMU68UFhZi0KBBuHjxIkQiEe7cucMKUx2p1eK0Z88eHD16FMeOHWNNtVWsvLwcp06dwsmTJ3Hnzh3Ex8crr4M7OTlhwoQJmDNnDuswyzDV9Ntvv2HmzJkoKyuDr68vTp8+DRMTE65jNRq1UpxkMhn279+PGTNm4JNPPmGFSQUUCgU2bNiAo0eP4smTJ8jJyVG+JhaL4eLigr59+2L+/PnsEijD1MDjx48xatQoPHr0CNra2vj9998xfPhwrmM1OjUuTgqFAi9evMCDBw+Uj5s3byIzMxNjxozB5s2bVZGz0VIoFFi0aBHWr1+PoqIi8Pl8NGnSBL169UKvXr0watQomJmZcR2TYeqdoKAgzJs3DyUlJfD394ehoSG2bNmCpKQkAMDgwYNx8OBBdjmcI9VqEFFYWIjffvsNf/zxB+7fv4/CwkIAr0bpbdGiBVq3bo0hQ4bA29u71g+gIbt27Rp69eqFkpIS6OnpYd68efjuu+9YYwaGUYFWrVohPDwcIpFIeUlcU1MTffv2xcqVK+Hi4sJxwoanVhtEJCYmol+/fnjy5An69OmDhQsXokWLFmjRogXMzc2rHZqp6Pfff8eECRMgEAjw888/46uvvuI6EsM0KP369UN4eDgcHR2xfPlyFBcXY9SoUezLn5qoUnF69OgRRowYAT6fj7t378LLy6u2cjVqP/30E77++mtIJBLcvXsX7u7uXEdimAbnhx9+wMuXL7Fnzx7Ex8dj1qxZXEdq8K5du1bpZav0FaF79+5o0qQJ7ty5wwpTLTp37hwAoLi4GKNHj+Y4DcM0XHPnzgUAZGRkcJyk4ZPJZPj2228rvXyVitOcOXNw9epVWFpaVjkYU3nnz5/HnTt30KFDB4SHh2PZsmVcR2KYekWhUEChULzz9fLycsycOVN5X5zdkqhdRIQZM2YgOjq60utwPrYe824KhQImJiYoLS1FcXEx13EYRu398ccfWLZsGcLDw0FEEIvFMDMzg4ODAzw8PJCYmIj79+8jKSkJcrkcJiYmWLZsGSZPnsx19AYtIiICXl5e6N69Oy5evFipWsKKk5pr27YtwsLCIJVKVbrd0tJSiEQidvOXqfcSExMxb948nDhxAkVFReDxeGjZsiUsLCzw7NkzpKSkoKCgQDnrta6uLpycnDBr1iyMHz+e4/SNg0KhwLJly7B48WIQUaVqCftkUnMymQwKhQKJiYk12k56ejqGDRsGIyMjCIVCiMViCAQC8Hg8CAQCaGpqwtDQELt27VJR8vpn//794PF4GDZsGNdRmEq4dOkSnJycYGNjg/3790MikWDu3LnIz89HWFgYTp8+jaioKOTl5UGhUCA+Ph4lJSXIz89HeHg4K0wqFBMTg0WLFmHAgAGws7ODRCKBqakp7O3t0axZM7Rr1w6JiYn44YcfKr3NejXZYGM0depUTJo0CU5OTpgyZQoWLVoEIyOjSq//9OlTTJ48GdeuXQMRwczMDG3atIGzszNkMhny8/NRUFCAoqIiREZG4tNPP8XOnTuxadOmRjHzrUwmw3fffYfNmzejpKQEwKsrBYz6++mnnxAbGwsA0NDQQLNmzeDq6vrOTrO2trZ1Ga9RWb16NbZv345u3bphxIgRkMvlkEql0NXVVQ7g/ddffyE5ObnyG1X1BFGM6p07d450dXWVkyQ6OzvTqlWrqKys7K3Lx8fH0/Tp08nGxka5TosWLej69evv3U9RURF17txZuY5EIiErKytq3bo1DR06lAICAujo0aOUlpZWG4dZ59avX09isbjCBJTz58/nOhZTBVevXqXRo0eTpaWl8v/QzMyM5HI519EalVOnThGfz6emTZuSgYGBcuLSL774guLj44mISKFQ0P79+ytdS1hxqkfOnz9PnTt3Jg0NDQJAfD6fvL296cCBAxQSEkIjRowgIyMj5S+pWCymnj17UnR0dJX28+zZMxo/fjy5uLiQoaEhCYXCCh/gfD6/Xv/ynz9/niwsLCock0AgoMDAQK6jMTVQUlJC06dPJwA0YcIEruM0On/++SeNHj2ali1bRqdOnaI1a9aQiYkJaWho0LRp0yg+Pp7u3bvHilNDJpfLaefOndS8eXPi8XgVPmQNDQ1p6NChdOvWLZXtb/Xq1RW+la5YsUJl265Lz549o5YtWyqLkbm5OQEgHR0dioiI4DoeowLR0dEEgLp27cp1FIaICgoKaMWKFRW+NFe2lrDWevVccXEx1q5di8zMTMyePRsODg4q3f7ixYuxZMkSGBsb4+zZs/Dx8cGLFy9w8+ZNhIWF4d69e7h37x4KCwshEolgYWGBmTNnYtasWWrREjA5ORmnT5/G8ePHcf78eRAROnbsiNTUVMTExMDe3h7h4eFsJPcG4uOPP8a1a9cQGRnJRlZRMalUilOnTuHSpUt48eIFiouLUVJSUuFRXl4OW1tbNG3aFE2bNoWbmxuaN28OCwsLnDx5EllZWZg9ezZrSs7UTExMDFxdXd+7DI/Hg6WlJTw9PZGRkYHHjx+jvLwcIpEIvXr1wtq1a+tkAM3y8nIEBQXhwoULuHv3LmJiYpCZmQmZTKZcxs3NDVOmTMG8efNQWlqKUaNGYd++fWpRRJnqy8/Px9KlS7Fv3z6kpqaiVatWCAsL4zpWgxITE4MxY8YgJCQEzs7O8PT0hEQigVgsrvAQCoWIj4/H06dP8fTpU2RmZgIAunbtiu+++w6enp6wtrZmxYmpGYVCgXnz5iEtLQ1lZWUoKyuDTCaDs7MzWrZsCT8/Pzg5Ob2xzoYNG7B+/Xq8fPkSANCnTx8cO3YMWlpaKs945coVfPPNN7h3756yHwufz4ehoSEcHBzg7e2Nrl27olOnTvjss89w5swZiEQi7N+/H0OHDlV5Hkb17t27h2PHjiElJQXFxcUoKipCdnY2Xr58iaysLGUrS21tbfTq1Qvbt29nZ8IqRERwcHBAQkICLly4gK5du1Z63aysLAQFBWHNmjXK8VgfPXpUuVpSmeuG7J4TUx2RkZHKezxisZh2796tsm1v27aNzMzMCADxeDxq3bo1rV27liIjI99Ydt26dSQSiZStFhtKa8OGSi6X07Zt28jW1rbCfQr8qwGLgYEBubm5Ub9+/eivv/7iOnaDtn//fhKLxeTl5UVPnjyp8voKhYKCgoKoa9eurEEEoz727NmjbLLdokULSkpKqva2zp07R1ZWVgSANDU1acKECZSRkfHWZdPS0sjFxYUAkK6uLh0+fLja+2Xqxvbt299ajIRCIX3zzTdcx2vUHj16RE2bNiWBQEDjx4+nu3fvUmJiImVnZ1NJSUmltlGVWsKKE1MnSkpKqF+/fspvvVXtT/To0SNq1qyZcv3JkyeTVCp95/JnzpwhTU1NAkDjx49/77KM+vj888+V3RWGDBlCS5cupb59+5Kenh4BoBMnTnAdsVErKiqin3/+uUK/stcPJycn+uabb+jmzZsVupqkp6fThQsXaO3atTRixAjWWo9RTzdu3MDgwYORkZEBsVgMAwMDGBgYwMTEBE2aNIG1tTXs7e3h5OSEpk2bIjMzEwEBAbh06RJ4PB769OmDffv2vfeewnfffYfVq1dDJBLhyJEjGDBgQN0dIFMrMjMzYW1tDR6PhwsXLqBDhw5cR2o08vPzkZaWVqFVXm5uLkJCQuDm5gZtbW0UFhbi5s2bOHnyJNLT02Fubo5mzZrh8ePHSElJAQBIJBK4u7sjLCyMNYhg1JNCocDcuXNx8uRJ5Ofno7CwEOXl5ZDL5e9cx9vbG4cPH36jAca/TZ06FVu2bIGVlRVCQkLY9C4NSGBgIIYPH64cbdzIyAiWlpZwdnaGl5cXfH190bZtW0gkkgrrFRYWIj4+HomJiUhOTkZycjLS09ORmZmJ7OxslJaWAnjV8pTH48HV1RXTp0+Hp6cnF4fJqdLSUjx48AChoaEICQlBaGgooqKi3ruOm5sbOnbsiI4dO8Le3h6xsbG4efMm0tPT0axZM3h5eaGwsBD379/H8ePHkZyczIoTU78oFAokJCQgKioKz58/R1xcHIRCIcaPH4+mTZt+cP1PP/0Uu3btgouLCyIiIt45xhpTf2VmZuLrr79GaGgo0tLSkJ+fX6G7QFW9Lkj/9HoeqKKiojcKXUNDRLh79y6OHTuGixcv4uHDh5BKpRCJRGjRogV8fHzg4+MDe3v7N5qNl5eX4/bt27h+/TquX7+OyMjICtvW0tKCmZkZSkpKkJGRAUtLS/Tr1w+//fYbK05M4zFmzBjs378f7u7uePjwIYRCNqZxY1FaWoqQkBAEBwcjIiIC5eXlAKAsOjo6OjA1NYW5uTksLCxgY2MDGxsbmJubv7WP2+eff47t27cjJSWlQU5CqFAocPv2bQQGBuL48eN4+fIlTExM0KdPH/j6+sLHxwfNmzeHpqZmlbabm5uLpKQkpKenIy0tDenp6UhPTwcRoV+/fvD19UVhYWGlawn7DWbqvWHDhiEwMBDNmzdHeHg461TbyGhpaaFTp07o1KmTSrYnEAgAoEGdectkMly7dg3Hjh3DH3/8gZSUFFhYWGDQoEEYOnQoOnbsWOMvdK/vH6vqcigrTky9pVAoMGDAAJw+fRre3t4ICQlhhYmpsadPn4LP51dpahp1df/+fezYsQOHDh1CZmYmbG1tMXLkSAwZMgTt2rVT698XVpyYapHJZHj+/DkiIyMRExODFy9eICEhAWlpacjOzoZcLgefz1dOZsjj8cDn88Hn8yEUCmFtbQ1PT094e3ujY8eOVWq4UFpaijlz5mDXrl0oLS1F27ZtcfPmTbX+RWPqj/j4eOjo6HAdo9pyc3Nx4MAB7NixA/fu3YO5uTkmTpyIYcOGoXXr1m/cY1NXrDgxHxQfH4/JkycjPDwchYWFKC0tVd40/jcNDQ2IxWLw+XzQq350ICIoFIoKf3/48CHOnDmjXI/H40EikcDExASWlpYQi8UQiUTK696vW1fl5eUhKysLcrkcxsbG+PHHHzFnzpw6eR+YxiEjI6Pe3WtSKBS4evUqduzYgWPHjkEqlaJv375YtGgRevfuDQ0NDa4jVhkrTsx7lZeXo1mzZigsLISpqSlsbW1hZmYGS0tL2NrawsnJCW5ubvDw8ICJiUmlt6tQKPD06VPcvHkT4eHhiIqKQnx8PDIyMpCUlFShmAGv7gNoaWlBV1cXHh4eCAgIwPDhw2vrsJlGaseOHSgsLFT56P61JSkpCbt378bOnTsRGxsLFxcXLF68GOPGjYOFhQXX8WqEFSfmvQYNGoTCwkL8+uuvmDp1qsq2y+fz4e7uzqY1YDh3//59/Pjjjzh//jzy8/Oho6ODjRs3ch3rnaRSKU6fPo0dO3bg7Nmz0NLSwrBhw7B792506NCh3ly2+xBWnJh3+vPPP3HmzBl4e3urtDAxDNciIiKwbNkynDt3Dnl5eQAAU1NTTJo0CevWrVPLLjNRUVHYsWMHfv/9d6Snp6NNmzbYvHkzRo4cqZZ5a4r1c2LeqrS0FCYmJpBKpUhJSWkQLZeYxu3JkydYtmwZzp49i5ycHACAiYkJ/vOf/2DhwoVqeSkvKysLJ0+exI4dO3Dr1i0YGxtj7Nix+Oyzz9CsWTOu41VZVWoJO3Ni3mrgwIEoKirCtm3bWGFi6rXvv/8emzZtQnZ2NgDAyMgI48aNQ0BAQJ1MhPk+RITs7GzExMTg2bNnePbsmfLvMTExyMnJAY/HQ8+ePXHkyBH079+/yp1j6ytWnBgArxo+/Pnnn/jjjz8QEhKCZ8+ewdfXF5MmTeI6GsNU2/fff4+lS5dCV1cXo0ePxn//+986v89JRMjKyqpQdP5ZiHJzc5XLmpubw9nZGR4eHhgwYACcnZ3Rtm1b2Nra1mlmdcCKUyMVHx+P3377DZcvX8aTJ08q/IKIxWJ4e3vj3Llz3AVkmBrat28fli5dCgsLC8TFxdXZiA/Z2dk4ePAgbty4oSxEr+9rAYCFhQWcnZ3RrFkzDBo0CM7OznBxcYGTkxN0dXXrJGN9wO45NUIKhQISiQRlZWXg8/lo0qQJPvroI/Tu3RsjRoyAmZkZ1xEZpkays7NhamoKsViMuLi4KnVzqA65XI4LFy5g165dOHHiBORyOdq1awdXV1e4uLhUKED1uYNvTbF7Tsx7BQYGoqysDPPmzcOPP/7IRlZg6qWbN29i6tSpyM/Ph5aWFsRiMSQSCbS1tZGQkACFQoGTJ0/WamEqLi7G//73P2zYsAFJSUnw9PTE8uXLMWbMGDRp0qTW9tsoVGb2QzYTbsPSrVs3AkAFBQVcR2He4dGjRzRr1iyKjIzkOoraiYuLIx8fH+WMuQYGBqStrU2ampokEAiIx+MRALK2tq61DFKplLZu3UqWlpYkFApp0qRJFBISQgqFotb22RBUpZawr8yN0P3792FmZtaoLy+oux07duDnn3+Gh4cHdHV14e/vj8DAQGWLs8ZCJpPh9OnT+Pzzz+Hl5QVtbW3Y29sjNDQUnTt3RlJSEnJycpTDaslkMuXoIgkJCbWSqbCwEJ07d8bkyZPRuXNnREVFYdu2bfDx8WkwHWDVAbvn1AgJBAK0a9cON27c4DoK8w4KhQI9e/ZEUFDQW18XCoXQ1NSEjo4OHB0d0aVLF3zyyScNYvbWJ0+eYP369Th37hwSExOVQ1iJRCLY2NigVatWWLBgAT766KM6z1ZSUoK+ffvi7t27OHv2LPz8/Oo8Q33G7jkx73T//n0oFAq0atWK6yjMe/D5fBw/fhxNmzZFamoqunbtir59+yI6OhopKSnK0d9zc3MRHByM27dvY/ny5RAKhbCzs8OoUaMwd+7cKn2ZlMlkePjwIe7cuYP79+/j2bNnKC4uhkwmg0wmg1wuV/75+u8SiQR2dnZwdXVF8+bN0aZNGzRr1qzK9zFfvHiB//73vzh16hQKCwsBABKJBB07dkS/fv0wYsQItWhO/emnnyI4OBh///03K0y1jJ05NTItW7ZUfvA4OTlxHYd5i6CgIMyfPx93794FEUFXVxdTpkzBoEGD0K5duzeWVygUCA4OxpEjR3D16lVERkairKwMAGBvb49hw4ahTZs2cHV1hYmJCe7evYvQ0FA8fvwYsbGxSElJQV5ennKd1/h8vnK6k39OefLPv5eVlaG0tBT//hgRiUTQ09ODmZkZbG1tlcXL19cXHh4eSE5OxvXr1xESEoJjx44pL8GZmpqif//+mDVrltqNgJCQkAA7Ozts3rwZkydP5jpOvVSVWsKKUyORmJiIrl27IiYmBj179sTff//NdSTm/+Tm5uLs2bO4cOECTpw4oRwV4KOPPkLXrl2xc+dO5XA7AoEAlpaW8PHxUc5iqqWl9cY2//zzT6xfvx63b99+o+j8k0gkgoGBASwsLODo6AhPT0/4+Pigffv2VWrlFh8fj+DgYNy/fx9RUVGIi4tDamoqcnNz31q8/klTUxPdu3fHsmXLOLlUV1nLly/Hjz/+iNTUVNYfqZpYcWIq+PXXX/HVV19BJpNh4sSJ2L59e4NpPv706VMcPnwYUVFRyMnJQV5eHqRSKRwcHNCsWTP4+vrCz8+vVht/lJaWok2bNigtLYWenh709PRgaGgIY2NjyGQyxMfHIzk5GZmZmSgoKHhvsZBIJHB2dgYR4fnz5yguLoZIJMIXX3wBHR0dBAUFISoqCgUFBQBezYM1YMAA7N27953HGBwcjIiICMTFxSE7Oxvu7u5o3749mjdvXuOpuSvrn8UrOjoaTZo0QatWrdChQwe4uLjUi5/H1q1bw9XVFQcOHOA6Sr3FihMD4FWroh49euDOnTvQ1dXF6dOn0alTJ65jVVtycjKOHj2KCxcu4OHDh0hJSYFMJlO+/nrWXQAVngdejafWpUsXzJo1Cx06dFBprvz8fBgYGICIIBKJlC3G/plLLBZDT08PpqamsLa2hoGBgfKSmKGhISwtLfHrr7+iqKgIwKsGDzY2NujZsyd+/vnnN86OcnNzcfDgQWzYsAFRUVHQ0NDA1q1bMXHiRJUeG/P/2draYsKECfjhhx+4jlJvVamWqLptOqMeTp48SWKxmABQz549qaysjOtIVZKXl0e7d++mESNGkLOzM2lqahIA5UNPT49atWpFM2bMoKCgIJLL5RXWLysro+vXr9PatWtp0KBBZGxsrFxXS0uLJk6cSEVFRSrL6+fnRwDo+PHjyudycnIq9Ttz4sSJCsc2Z86cN47nbZ49e0Z+fn7Kfj19+vSp0TEw76ejo0Pr1q3jOka9VpVawopTAyOVSmnw4MEEgEQiEe3bt4/rSJX26NEjat68OUkkkgof1mKxmDw8PGjChAkUGBhIJSUl1dp+QkICzZ49m8zNzQkACQQCGjZsGGVlZVVYLjQ0lPz8/MjKyors7OyoTZs2NGTIEPr2229p9+7dFB4e/kaxj4+PJy0tLeLz+XT+/Pkq5QoMDCSBQEBmZmYkEAiU/3f9+/d/ZydcuVxOhoaGBIC8vLzoxIkTVXszmCqRSqUEgHbs2MF1lHqNFadGKjQ0lIyMjAgAtWjR4o0PXXUWHR1NmpqaxOPxyNHRkYYOHUrbt2+nnJycWtlfYGAg2dnZVTibsrKyIl9fX+Lz+cTj8cjQ0JD09fVJKBRWKJavHwKBgHR1dcnGxobc3NyUZ6ojR46sdi6pVEorVqwgGxsb5X6srKxo6dKlFBUVRY8ePaJNmzaRl5cXAaDly5er8F1h3iUzM5MA0LFjx7iOUq+x4tQIHT9+nHg8HvH5/Hr3gRUfH08SiYR4PB6dOnWqTvd98eJFGjBgAHl6epKhoSHx+XwyMjKiiIiICsvJ5XKKjIykAwcOUEBAAI0cOZLat29Pjo6OZGhoSGKxmMzNzWn+/PmVuiRXGdHR0TRo0KA3Lmm+fgwcOFAl+2E+7NmzZwSALl26xHWUeq0qtYQ1iKjnFAoFIiIi0LZtWygUCjx+/Lhe9V9SKBQwMjJCfn4+Dh06hOHDh3MdSe0oFArs27cPjx8/hkAgQKtWrdCrVy82/FQdCgsLQ+vWrXHv3j20bNmS6zj1FhshohFITEzE4MGDlR01AWD37t31qjABwM6dO5GXl4fFixezwvQOfD4f48aN4zpGo/Z6vjMDAwNOczQmrDjVQ0FBQejZsycUCgV8fHzQpUsXDB48GL6+vlxHq7Jff/0VfD4f8+fP5zoKw7wTK051jxWneub+/fvo1asXhEIhrl27Vi8L0msymQwPHjyAp6dnnc1SyjDV8bo4sdsadUf9u2UzSlu3boW3tzcUCgUuXLhQrwsTAGzZsgUKhQJTpkzhOgrDvFdubi709PSUnbyZ2seKUz2gUCgwcuRITJkyBTo6OggPD6+zkR5kMhm+/PJLDB48GE+fPlXZdhUKBb7//nvl0DwMo85yc3PZJb06xi7rqbknT56gV69eePnyJVq0aIFbt25BIpGodB+JiYm4efMmHjx4gMLCQshkMmRnZyM4OBgJCQmQy+UAgBMnTmDcuHHYvn17jcdkW7ZsGXJycrBgwYI6G9+NYaorJyeHFac6xpqSqymFQoHJkydjx44dAIAvv/wSGzdurPE2b926hQMHDuDatWuIi4tDcXHxO0eM1tbWhpubGz777DN07NgRAwYMQGxsLIRCIby8vDBu3DhMmTLlraNiv095eTn09PSgpaWF7OzsejHoJ9O4jRkzBgkJCbh69SrXUeo11pS8nrt06RKGDRuG7Oxs2Nvb4/Tp09Wa4bS0tBRHjhzBiRMnEBoaiuTkZOWApK9nFXVwcICbmxs++ugj+Pr6wsjICCKRCBKJ5I0ztOfPn2Pr1q3YsGEDHjx4gNmzZ2POnDlwcHDA4MGD8fXXX8Pc3PyDmVq2bImysjJs3ryZFSamXmCX9Tig6l69TPUVFRVR7969lUPjLF26tFrbOXHiBHl7eysHBMX/DZTq6+tLAQEBFBUVVeOsUqmUdu/eTX5+fhVGMHBzc6PQ0NC3rpOQkKAcgHX8+PE1zsAwdaVPnz7k6upKmZmZXEep19jwRfVIUVER7d27l0aMGKEcm83b25vS0tKqtB25XE4rVqwgPT09AkA8Ho9atWpFW7ZsqZP/t6CgIOrZs6eyILZp04YePXpEISEhtGfPHlqwYAFpaWkRAFq9enWt52EYVbpz5w7x+Xxq374911HqNVac1JRcLqcbN27QrFmzyNvbm3R1dSuMlaavr0979uyp8jaXLVtGOjo6BIAkEgnNnj2bCgoKauko3i8+Pp46duz41rHghEIhnTx5kpNcDFNdV69eJUtLSxIKhTRnzhyu49RrVakl7J5THfn5558xd+5c5SR4r6fb7tq1K3r37o1hw4bByMio0ttTKBRYunQp1qxZg6KiImhra2PJkiUICAjg9D6Ora0trl27hsePH2PTpk0wNzeHi4sL3N3d4eHhwTrbMvXK2bNn0b9/f/j5+eHmzZuwt7fnOlLjoepqx1QklUqpR48eBIAMDAxowYIF9OjRoxptc+/evaStrU0ASEdHh5YtW6aykbAZhnnl1q1bJBaLqX///iSVSrmO0yCwMyc14uzsjPj4eHTs2BEXL16s8ZnDp59+il27dkEsFmPVqlX45ptvWIs3hlGxx48fo2/fvvDx8cGhQ4dYXzwOsHe8lsXHx6N9+/a4du0aFAoF/v77b5w/fx6hoaGIiYlBSUkJbG1t0bp1a/j7+2PAgAHv7Dd07Ngx7Nq1Cy4uLrh//77KO+MyDAO8ePEC/v7+sLW1xZ9//gmxWMx1pEaJdcKtZXw+H3Z2dujXrx927NiBkpIS5fOGhoaQSCRIS0tDeXk5gFf9j9auXYsZM2ZU2E5mZiasra3B4/GQkpLC+lwwjIoVFxdj3bp1WLVqFZo0aYKbN29+sN8eUzVVqSXselAtGzx4MOLi4vC///0PEokECxcuREREBORyOTIzM/Hy5UuUlZUhKSkJ69atg0gkwsyZM+Hm5oYbN25g69atmDhxIjw8PFBWVoajR4+ywsQwKqRQKLB79264uLhg2bJlmDJlCu7evcsKE8fYmVMdOHLkCAQCAYYMGfLBZWUyGcaOHYtDhw5VeF4oFGLatGn45ZdfaismwzQqMpkMQUFBmDdvHu7fv4/hw4djxYoVcHR05Dpag1WVWsKKk5q6d+8eDh48CB8fH3Tv3r1KzcwZhnm7uLg45X3foKAg5OXloW3btli3bh3at2/PdbwGjxUnhmEYAAUFBbh8+TLOnz+P8+fPIyYmBgKBAG3btkXPnj3Rs2dP+Pr6gsfjcR21UWADvzIM0yhlZmbiyZMnuHbtGv7++2/cvn0bMpkMjo6O8Pf3x+rVq9GlSxfo6+tzHZX5AFacGIapV8rLy/H8+XM8ffoUT58+RVRUlPLv2dnZAF5Np961a1ds2LABPXv2hJOTE8epmapixYlhGLVWVFSE48eP49ixY4iMjERsbKxyAkx9fX00bdoUTZs2Rb9+/ZR/b9q0KTQ0NDhOztQEK04Mw6gdhUKBa9euYc+ePQgMDERhYSE6duyIfv36wc3NTVmAmjRpwu4XNVCsODEMozaeP3+O33//Hb///jvi4uLg6OiIb7/9FmPHjmWDrjYyrDgxDMOp/Px8HD16FHv27MH169ehq6uL4cOHY8KECfDz82NnRo0UK04Mw9Q5uVyOS5cuYffu3fjjjz9QWlqK7v+vvfsLaar/4wD+Ppu6yRz4gJqalebfba6QUiaFQn8QQk2MICFBgi7KC28sSfCi0P5gRHghYUahBAWRddEfAiNN+uOFoBuuFGeQW4rONk1d23F7LiR/FPb85uPm5tP7BYcNz+FzPgccb3a+333PgQO4e/cuSkpKuG4kMZyIgtHs7CwMBgMMBgMiIyORn5+PmJiYQLe1Zl++fEFTUxPa29thNpuRnp6Ouro6lJeXIyEhIdDtURBhOBH5yfj4OKqrq7G4uIjQ0FCEhoYiJCQEcrkccXFx2LJlCxISEvDXX3/h48ePGBgYgF6vx8DAAEZHRwEsLRDsdrsBABqNBgUFBWhoaPjtyvXBbHFxEYWFhRgZGUFZWRkqKiqQk5PD23a0IoYTkZ+0tLTg4cOHyM3NhcvlgiiKcLlcWFhYgMViwdevX386PjY2FlqtFqWlpdixYwe0Wi1UKhWsViu6urrw4MEDXLt2DRUVFdBqtQG6qn+vtbUVfX19ePPmDXJzcwPdDgU5Ll9E5CdarRZZWVloa2tbcf+3b9/w+fNnTE9PIy0tDdHR0f9Y78mTJygsLITZbEZ8fLw/WvYbq9WKtLQ0FBUV4c6dO4FuhwKEyxcRBQGpVAqZTPbb/REREVCpVF7Xs1qtALAhFwGur6+HKIq4fPlyoFuhDYLPcyLyk4MHD+L+/fuYnJz0Sb0fv/Pp7+/3Sb31Mj8/j9u3b6OyspLPSCKvMZyI/KSmpgaCIKChocEn9fbs2YOoqCh0dHT4pN56mZiYgN1u35DjZBQ4DCf6Y01MTOD69esoKirC1atXfV4/KioKNTU1aG5uXp59txZSqRTFxcXo6OiAF0PFQSMpKQk6nQ7nz59HS0sLLBZLoFuiDYATIuiPYzKZUFVVhWfPnkEikcDlciEkJARzc3MICwvz6bnm5uaQmpqK3bt34/Hjx2ueNv3ixQsUFBSgvb0dx48f91GX/tfb24uzZ8/i9evXcLvdyM7ORnFxMbKysjAzMwObzQabzQaz2QxRFNHY2AilUhnotsnHVpUlHi/Y7XYPAI/dbvfmcKKgduHCBQ8Aj1Kp9Ny8edMTGRnpqays9Nv5Ojo6PAA8ra2ta67ldrs95eXlHoVC4dHr9T7obn1NTU152tvbPUePHvUolUoPgBU3s9kc6FbJD1aTJbytR3+ckpISHDt2DBERETh58iRcLhfq6ur8er4TJ06gqqoKIyMja6olCAKam5uRkpKC/fv3Y3Bw0Edd+pfb7cb79+/x6NEj9PX1wW63Izw8fHm/IAhISUnB4cOH0dPTs+GmypPv8bYe/bE8Hg9MJhNEUUR6erpfzzU7O4udO3ciLi4O3d3dkEqla6o3NTWFffv2wWKxQK1Ww+Fw4Pv373A4HHA4HFhcXMT27duRmZmJzMxMaLVaaDSadZ+GLooi7t27h4sXL8JoNEIQBCQnJ0Oj0UCj0UCtVkOj0SA9Pf2nsKL/ptVkCcOJaJ309PQgPz8f9fX1OHfu3JrrTU5Ooq6uDvPz85DL5ZDJZJDL5ZDL5RAEAcPDwzAYDPjw4QNEUQQAxMfHY+vWrQgLC0NoaOiKr0qlEmlpaVCr1VCpVIiLi1v1WJnT6URbWxsuXboEk8mEwsJCVFdXIycnhyH0B2M4EQWp2tpaNDY2ore3F1lZWetyTqfTiaGhIRgMBuj1elgsFrhcruXN6XT+9N5ms2F4eBhOpxPA0tNmVSrV8vYjtBITEyGRLI0MuN1uGI1GvHv3Dm/fvsXz589hsVhw5MgR1NbWrtu1UnBjOBEFKafTCZ1OB6vViu7ubmzbti3QLa1IFEWYTCYYjUYYjUYMDg4uv5+bmwMAyOVyZGRkIDIyEn19fZiZmYFEIkFmZib27t2LyspKqNXqAF8JBROGE5EfiKKIK1euwGazISoqannT6XTYtGmT13XGxsaQl5cHiUSCrq4ubN682Y9d+5bb7cbY2NhPgWW1WrFr1y7odDpkZ2dzCjj9FsOJyA9OnTqFGzduIDU1FVNTU8urikulUhw6dAgNDQ1er4Lw6dMn5OXlQaFQ4NWrV6sKN6KNajVZwqnkRF4yGAwoKyvD0NAQpqen4XQ6MTY2hqamJvT39+PMmTNe10pMTERnZyfsdjsOHDiAmZkZP3ZOtPEwnIi84PF4YDAY0NnZiejoaEgkEshkMiQnJ6O3txfR0dHQ6/WrqpmamoqnT5/CYDDg5cuXfuqcaGPiIzOIvCAIAkpLS7GwsACVSoWYmBgIgoCJiQm0trYiIiICp0+fXnXdjIwMAEvPdiKi/2E4EXnp1q1bK/59LatLyGQySCSS5RlwRLSEt/WIAkgQBCgUCn5zIvoFw4kowCIiIvjNiegXDCeiAFMoFAwnol+sasyJ012JfC88PBzT09P8fNF/3mr+x736Ea7D4UBSUhLGx8fX1BgREf3ZYmNjMTo6Crlc/o/HeRVOwFJA/VgIkoiI6N8ICwv7v8EErCKciIiI1gsnRBARUdBhOBERUdBhOBERUdBhOBERUdBhOBERUdBhOBERUdBhOBERUdD5G2ahCTuR1fzSAAAAAElFTkSuQmCC",
@@ -802,27 +797,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 30,
    "id": "d8633ef3-257f-4af0-82bc-85a8349f09a9",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-03T09:04:34.189753Z",
-     "start_time": "2023-09-03T09:04:32.041794Z"
+     "end_time": "2023-09-03T12:41:47.956204Z",
+     "start_time": "2023-09-03T12:41:46.755061Z"
     }
    },
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "D:\\anaconda3\\envs\\da\\Lib\\site-packages\\cartopy\\io\\__init__.py:241: DownloadWarning: Downloading: https://naturalearth.s3.amazonaws.com/10m_cultural/ne_10m_admin_0_boundary_lines_land.zip\n",
-      "  warnings.warn(f'Downloading: {url}', DownloadWarning)\n",
-      "D:\\anaconda3\\envs\\da\\Lib\\site-packages\\cartopy\\io\\__init__.py:241: DownloadWarning: Downloading: https://naturalearth.s3.amazonaws.com/10m_physical/ne_10m_coastline.zip\n",
-      "  warnings.warn(f'Downloading: {url}', DownloadWarning)\n",
-      "D:\\anaconda3\\envs\\da\\Lib\\site-packages\\cartopy\\io\\__init__.py:241: DownloadWarning: Downloading: https://naturalearth.s3.amazonaws.com/10m_physical/ne_10m_lakes.zip\n",
-      "  warnings.warn(f'Downloading: {url}', DownloadWarning)\n"
-     ]
-    },
     {
      "data": {
       "image/png": 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",
@@ -867,7 +850,7 @@
    "id": "83342543",
    "metadata": {},
    "source": [
-    "### original station tempreature"
+    "### original station tempreature  average"
    ]
   },
   {
@@ -877,14 +860,34 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "staion_info_path = \"F:\\JuPyterNotebook\\irp_ww721_bakcup\\data\\processed_data\\ASOS_DATA\\GB_ASOS_DATA\\GB_merged_ASOS_2022.csv\""
+    "# station_info_path = \"F:\\JuPyterNotebook\\irp_ww721_bakcup\\data\\processed_data\\ASOS_DATA\\GB_ASOS_DATA\\GB_merged_ASOS_2022.csv\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 32,
+   "id": "b140a3b4",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:00.839614Z",
+     "start_time": "2023-09-03T12:42:00.836468Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "station_info_path =\"/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2022.csv\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
    "id": "bbf6b284-32d7-4e25-a369-b6a004914def",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:01.997656Z",
+     "start_time": "2023-09-03T12:42:01.738944Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -1013,21 +1016,26 @@
        "[626908 rows x 4 columns]"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df = pd.read_csv(staion_info_path)\n",
+    "df = pd.read_csv(station_info_path)\n",
     "df"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 34,
    "id": "0c7645ab-fdf3-432f-aa62-dbe9c6f53dcc",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:05.214938Z",
+     "start_time": "2023-09-03T12:42:05.165249Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -1061,9 +1069,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 35,
    "id": "1bc95c20-d52c-4115-a520-489b3e65c410",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:06.272280Z",
+     "start_time": "2023-09-03T12:42:06.257662Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -1180,7 +1193,7 @@
        "[82 rows x 3 columns]"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1191,13 +1204,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 36,
    "id": "eba145d4-6cdd-4560-96a1-b6592cc0f510",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:07.264433Z",
+     "start_time": "2023-09-03T12:42:07.096275Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -1211,12 +1229,12 @@
     "import cartopy.crs as ccrs\n",
     "import cartopy.feature as cfeature\n",
     "\n",
-    "def plot_uk_with_temperatures(temperature_mean, latitudes, longitudes):\n",
+    "def plot_uk_with_temperatures(temperature_mean, latitudes, longitudes,vmin=282,vmax=290):\n",
     "    # 创建一个matplotlib的图和坐标轴，使用PlateCarree投影\n",
     "    fig, ax = plt.subplots(subplot_kw={'projection': ccrs.PlateCarree()})\n",
     "    \n",
     "    # 设置地理范围为英国周边\n",
-    "    ax.set_extent([-10, 2, 49, 60], crs=ccrs.PlateCarree())\n",
+    "    ax.set_extent([-10, 3, 49, 60], crs=ccrs.PlateCarree())\n",
     "    \n",
     "    # 添加英国的边界\n",
     "    ax.add_feature(cfeature.BORDERS, linestyle=':')\n",
@@ -1230,7 +1248,12 @@
     "    \n",
     "    # 在地图上绘制温度均值\n",
     "    scatter_size = 50  # Modify this value to adjust point size\n",
-    "    plt.scatter(longitudes, latitudes, c=temperature_mean, s=scatter_size, cmap='coolwarm', transform=ccrs.PlateCarree())\n",
+    "#     vmin = temperature_mean.min()  # Minimum value for color mapping\n",
+    "#     vmax = temperature_mean.max()  # Maximum value for color mapping\n",
+    "#     vmin = 282\n",
+    "#     vmax = 290\n",
+    "    plt.scatter(longitudes, latitudes, c=temperature_mean, s=scatter_size, cmap='coolwarm', vmin=vmin, vmax=vmax, transform=ccrs.PlateCarree())\n",
+    "#     plt.scatter(longitudes, latitudes, c=temperature_mean, s=scatter_size, cmap='coolwarm', transform=ccrs.PlateCarree())\n",
     "    \n",
     "    plt.colorbar(label='Temperature Mean (C)')\n",
     "    \n",
@@ -1246,661 +1269,4830 @@
    "id": "060b172e-d847-4175-8213-594164851d61",
    "metadata": {},
    "source": [
-    "### plot_krige"
+    "### plot_krige average"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 37,
    "id": "9bfbdff7-6ef1-4371-8539-cef349cd8167",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "output_path =r\"F:\\JuPyterNotebook\\irp_ww721_bakcup\\data\\da_test_data\\2022_data\\GB_2022_data\\asos_kridge_2022.nc\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "id": "648c6fd4-0f18-4572-a82e-8ed573fe9502",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "found the following matches with the input file in xarray's IO backends: ['netcdf4', 'h5netcdf']. But their dependencies may not be installed, see:\nhttps://docs.xarray.dev/en/stable/user-guide/io.html \nhttps://docs.xarray.dev/en/stable/getting-started-guide/installing.html",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[44], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m ds\u001b[38;5;241m=\u001b[39m\u001b[43mxr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[43moutput_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m      2\u001b[0m ds\n",
-      "File \u001b[1;32mD:\\anaconda3\\envs\\da\\Lib\\site-packages\\xarray\\backends\\api.py:551\u001b[0m, in \u001b[0;36mopen_dataset\u001b[1;34m(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs)\u001b[0m\n\u001b[0;32m    548\u001b[0m     kwargs\u001b[38;5;241m.\u001b[39mupdate(backend_kwargs)\n\u001b[0;32m    550\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m engine \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m--> 551\u001b[0m     engine \u001b[38;5;241m=\u001b[39m \u001b[43mplugins\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mguess_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    553\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m from_array_kwargs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    554\u001b[0m     from_array_kwargs \u001b[38;5;241m=\u001b[39m {}\n",
-      "File \u001b[1;32mD:\\anaconda3\\envs\\da\\Lib\\site-packages\\xarray\\backends\\plugins.py:197\u001b[0m, in \u001b[0;36mguess_engine\u001b[1;34m(store_spec)\u001b[0m\n\u001b[0;32m    189\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    190\u001b[0m     error_msg \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m    191\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfound the following matches with the input file in xarray\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124ms IO \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    192\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbackends: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcompatible_engines\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m. But their dependencies may not be installed, see:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    193\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttps://docs.xarray.dev/en/stable/user-guide/io.html \u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    194\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttps://docs.xarray.dev/en/stable/getting-started-guide/installing.html\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    195\u001b[0m     )\n\u001b[1;32m--> 197\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(error_msg)\n",
-      "\u001b[1;31mValueError\u001b[0m: found the following matches with the input file in xarray's IO backends: ['netcdf4', 'h5netcdf']. But their dependencies may not be installed, see:\nhttps://docs.xarray.dev/en/stable/user-guide/io.html \nhttps://docs.xarray.dev/en/stable/getting-started-guide/installing.html"
-     ]
-    }
-   ],
-   "source": [
-    "ds=xr.open_dataset(output_path)\n",
-    "ds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "577b1784-62f3-48a3-b262-1f87ec52bc23",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ff482d3a-4ebd-4876-b5a6-2a50949d2a9d",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ab7e2b91-d76b-4cc4-b5a3-16d16aa5b97f",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "bd0a0b2f-987a-47a7-ac14-6e1c36017ab7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1b18bfdf-6378-4a36-b831-a7c051740848",
-   "metadata": {},
-   "source": [
-    "### coarse version "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "165174f5-b35f-4692-821d-0d187f34c099",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import geopandas as gpd\n",
-    "\n",
-    "def download_uk_border():\n",
-    "    # 从Natural Earth下载全球国家边界数据\n",
-    "    world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
-    "\n",
-    "    # 提取英国的边界数据\n",
-    "    uk = world[world['name'] == \"United Kingdom\"]\n",
-    "\n",
-    "    # 保存英国的边界到Shapefile\n",
-    "    uk.to_file(\"UK_border.shp\")\n",
-    "\n",
-    "download_uk_border()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 125,
-   "id": "75a8c3c6-86ea-4380-ae2d-b332bff65bbf",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# 从Shapefile加载英国的边界数据\n",
-    "uk_border = gpd.read_file(\"UK_border.shp\")\n",
-    "\n",
-    "# 绘制并显示边界\n",
-    "uk_border.plot()\n",
-    "plt.title(\"United Kingdom Border\")\n",
-    "plt.xlabel(\"Longitude\")\n",
-    "plt.ylabel(\"Latitude\")\n",
-    "plt.grid(True)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 126,
-   "id": "f4a18495-3a45-4ebf-aa1c-03dec1e2943f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "gdf = gpd.read_file('UK_border.shp')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 127,
-   "id": "b9df3d43-0b1a-4d85-b6dd-0be8978a616e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>pop_est</th>\n",
-       "      <th>continent</th>\n",
-       "      <th>name</th>\n",
-       "      <th>iso_a3</th>\n",
-       "      <th>gdp_md_est</th>\n",
-       "      <th>geometry</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>66834405.0</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>United Kingdom</td>\n",
-       "      <td>GBR</td>\n",
-       "      <td>2829108</td>\n",
-       "      <td>MULTIPOLYGON (((-6.19788 53.86757, -6.95373 54.07370, -7.57217 54.05996, -7.36603 54.59584, -7.57217 55.13162, -6.73385 55.17286, -5.66195 54.55460, -6.19788 53.86757)), ((-3.09383 53.40455, -3.09208 53.40444, -2.94501 53.98500, -3.61470 54.60094, -3.63001 54.61501, -4.84417 54.79097, -5.08253 55.06160, -4.71911 55.50847, -5.04798 55.78399, -5.58640 55.31115, -5.64500 56.27501, -6.14998 56.78501, -5.78682 57.81885, -5.01000 58.63001, -4.21149 58.55085, -3.00500 58.63500, -4.07383 57.55302, -3.05500 57.69002, -1.95928 57.68480, -2.21999 56.87002, -3.11900 55.97379, -2.08501 55.91000, -2.00568 55.80490, -1.11499 54.62499, -0.43048 54.46438, 0.18498 53.32501, 0.46998 52.93000, 1.68153 52.73952, 1.55999 52.10000, 1.05056 51.80676, 1.44987 51.28943, 0.55033 50.76574, -0.78752 50.77499, -2.49000 50.50002, -2.95627 50.69688, -3.61745 50.22836, -4.54251 50.34184, -5.24502 49.96000, -5.77657 50.15968, -4.30999 51.21000, -3.41485 51.42601, -3.42272 51.42685, -4.98437 51.59347, -5.26730 51.99140, -4.22235 52.30136, -4.77001 52.84000, -4.58000 53.49500, -3.09383 53.40455)))</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      pop_est continent            name iso_a3  gdp_md_est  \\\n",
-       "0  66834405.0    Europe  United Kingdom    GBR     2829108   \n",
-       "\n",
-       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 geometry  \n",
-       "0  MULTIPOLYGON (((-6.19788 53.86757, -6.95373 54.07370, -7.57217 54.05996, -7.36603 54.59584, -7.57217 55.13162, -6.73385 55.17286, -5.66195 54.55460, -6.19788 53.86757)), ((-3.09383 53.40455, -3.09208 53.40444, -2.94501 53.98500, -3.61470 54.60094, -3.63001 54.61501, -4.84417 54.79097, -5.08253 55.06160, -4.71911 55.50847, -5.04798 55.78399, -5.58640 55.31115, -5.64500 56.27501, -6.14998 56.78501, -5.78682 57.81885, -5.01000 58.63001, -4.21149 58.55085, -3.00500 58.63500, -4.07383 57.55302, -3.05500 57.69002, -1.95928 57.68480, -2.21999 56.87002, -3.11900 55.97379, -2.08501 55.91000, -2.00568 55.80490, -1.11499 54.62499, -0.43048 54.46438, 0.18498 53.32501, 0.46998 52.93000, 1.68153 52.73952, 1.55999 52.10000, 1.05056 51.80676, 1.44987 51.28943, 0.55033 50.76574, -0.78752 50.77499, -2.49000 50.50002, -2.95627 50.69688, -3.61745 50.22836, -4.54251 50.34184, -5.24502 49.96000, -5.77657 50.15968, -4.30999 51.21000, -3.41485 51.42601, -3.42272 51.42685, -4.98437 51.59347, -5.26730 51.99140, -4.22235 52.30136, -4.77001 52.84000, -4.58000 53.49500, -3.09383 53.40455)))  "
-      ]
-     },
-     "execution_count": 127,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gdf"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "edc54528-a373-4097-89ff-869a3e69f7b1",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "id": "29e92d27-4a00-44cf-90f3-34f8cd644797",
-   "metadata": {
-    "heading_collapsed": true
-   },
-   "source": [
-    "## Regrid"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c995edb0-367f-4e61-b1cc-e99c4b3abbf3",
-   "metadata": {
-    "hidden": true
-   },
-   "source": [
-    "### test1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 129,
-   "id": "75f23541-1a8e-47fe-9b47-5e73414598e7",
    "metadata": {
-    "hidden": true
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:24.752928Z",
+     "start_time": "2023-09-03T12:42:24.750168Z"
+    }
    },
    "outputs": [],
    "source": [
-    "gridx = np.linspace(-6.0, 1.875, 64)"
+    "output_path =\"/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/da_test_data/2022_data/GB_2022_data/asos_kridge_2022.nc\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
-   "id": "d3a451ee-d81c-4c53-943c-1b304e7dd03a",
+   "execution_count": 38,
+   "id": "3f0bba99",
    "metadata": {
-    "hidden": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125,\n",
-       "       -5.   , -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125,\n",
-       "       -4.   , -3.875, -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125,\n",
-       "       -3.   , -2.875, -2.75 , -2.625, -2.5  , -2.375, -2.25 , -2.125,\n",
-       "       -2.   , -1.875, -1.75 , -1.625, -1.5  , -1.375, -1.25 , -1.125,\n",
-       "       -1.   , -0.875, -0.75 , -0.625, -0.5  , -0.375, -0.25 , -0.125,\n",
-       "        0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,  0.75 ,  0.875,\n",
-       "        1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,  1.875])"
-      ]
-     },
-     "execution_count": 130,
-     "metadata": {},
-     "output_type": "execute_result"
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:25.497933Z",
+     "start_time": "2023-09-03T12:42:25.493504Z"
     }
-   ],
-   "source": [
-    "gridx"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 133,
-   "id": "855d5a9c-2396-4ef2-bc89-916652602a77",
-   "metadata": {
-    "hidden": true
    },
    "outputs": [],
    "source": [
-    "gridy = np.linspace(50.0, 57.75, 32) "
+    "output_path2 =\"/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/da_test_data/2022_data/GB_2022_data/asos_kridge_2022_2.nc\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 134,
-   "id": "ffb835bd-f853-4bce-95a5-fe1cd5c70338",
+   "execution_count": 39,
+   "id": "bad5d546",
    "metadata": {
-    "hidden": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  ,\n",
-       "       52.25, 52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25,\n",
-       "       54.5 , 54.75, 55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 ,\n",
-       "       56.75, 57.  , 57.25, 57.5 , 57.75])"
-      ]
-     },
-     "execution_count": 134,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gridy"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f6ed8c4e-fbea-4a6f-8350-8d5f135c9e66",
-   "metadata": {
-    "hidden": true
-   },
-   "source": [
-    "### test2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c7de92eb-f135-4e95-a520-a5520b4a1229",
-   "metadata": {
-    "hidden": true
-   },
-   "source": [
-    "#### basic import"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "ebc6b815-58a9-4253-beeb-26c5742bccb5",
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "import xarray as xr\n",
-    "import gstools as gs\n",
-    "import geopandas as gpd\n",
-    "import matplotlib.pyplot as plt\n",
-    "from utils import folder_utils\n",
-    "from tqdm import tqdm"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "93a788ff-48a8-42e5-8561-d3511aea8a4e",
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
-   "source": [
-    "def filter_data(df):\n",
-    "    \"\"\"\n",
-    "    Filter data by deleting rows with missing values and wrong values\n",
-    "    \"\"\"\n",
-    "    # Delete rows with missing values\n",
-    "    df = df.dropna()\n",
-    "    # Delete rows with wrong values\n",
-    "    df[\"time\"] = pd.to_datetime(df[\"time\"])  # Convert to datetime\n",
-    "    # If the time is not a whole hour, delete the row\n",
-    "    is_whole_hour = (df[\"time\"].dt.minute == 0) & (df[\"time\"].dt.second == 0)\n",
-    "    not_null = df[\"time\"].notnull()\n",
-    "    latitude_condition = (df[\"latitude\"] >= 50) & (df[\"latitude\"] <= 58)\n",
-    "    longitude_condition = (df[\"longitude\"] >= -6) & (df[\"longitude\"] <= 2)\n",
-    "    # Combine all conditions\n",
-    "    combined_condition = (\n",
-    "        is_whole_hour & not_null & latitude_condition & longitude_condition\n",
-    "    )\n",
-    "\n",
-    "    filtered_df = df[combined_condition]\n",
-    "\n",
-    "    return filtered_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "a256c2be-e0c2-4644-9855-269b7937c7f5",
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
-   "source": [
-    "def krige_regrid(\n",
-    "    year_df_path, year, country, data_folder, data_category, output_folder\n",
-    "):\n",
-    "    # 1. Load the data\n",
-    "    df = pd.read_csv(year_df_path)\n",
-    "    df = filter_data(df)\n",
-    "    # lat = df[\"latitude\"].values\n",
-    "    # lon = df[\"longitude\"].values\n",
-    "\n",
-    "    # 2. Create a new dataframe to store the interpolated data\n",
-    "    output_df = pd.DataFrame()\n",
-    "\n",
-    "    # 3.Define the grid\n",
-    "    g_lon = np.linspace(-6.0, 1.875, 64)  # longitude\n",
-    "    g_lat = np.linspace(50.0, 57.75, 32)  # latitude\n",
-    "    # gridx, gridy = np.meshgrid(gridx, gridy)\n",
-    "\n",
-    "    # 4. Drift term\n",
-    "    def north_south_drift(lat, lon):\n",
-    "        return lat\n",
-    "\n",
-    "    unique_times = df[\"time\"].unique()\n",
-    "\n",
-    "    # Iterate over each time\n",
-    "    for time_point in tqdm(unique_times):\n",
-    "        # 1. Load data for the specific time point\n",
-    "        time_df = df[df[\"time\"] == time_point]\n",
-    "        t2m = time_df[\"t2m\"].values\n",
-    "        lat = time_df[\"latitude\"].values\n",
-    "        lon = time_df[\"longitude\"].values\n",
-    "\n",
-    "        # 2. Estimate the variogram\n",
-    "        bin_center, vario = gs.vario_estimate(\n",
-    "            (lat, lon), t2m, latlon=True, geo_scale=gs.KM_SCALE, max_dist=900\n",
-    "        )\n",
-    "\n",
-    "        # 3. krige interpolation\n",
-    "        model = gs.Spherical(latlon=True, geo_scale=gs.KM_SCALE)\n",
-    "        model.fit_variogram(bin_center, vario, nugget=False)\n",
-    "\n",
-    "        # 5. Universal Kriging\n",
-    "\n",
-    "        uk = gs.krige.Universal(\n",
-    "            model=model,\n",
-    "            cond_pos=(lat, lon),\n",
-    "            cond_val=t2m,\n",
-    "            drift_functions=north_south_drift,\n",
-    "        )\n",
-    "\n",
-    "        uk.set_pos((g_lat, g_lon), mesh_type=\"structured\")\n",
-    "        interpolated_values = uk(return_var=False)\n",
-    "\n",
-    "        temp_df = pd.DataFrame(\n",
-    "            {\n",
-    "                \"lat\": np.tile(g_lat, len(g_lon)),\n",
-    "                \"lon\": np.repeat(g_lon, len(g_lat)),\n",
-    "                \"time\": [time_point] * len(g_lat) * len(g_lon),\n",
-    "                \"t2m\": interpolated_values.ravel(),\n",
-    "            }\n",
-    "        )\n",
-    "\n",
-    "        output_df = pd.concat([output_df, temp_df], ignore_index=True)\n",
-    "\n",
-    "    # Save to csv file\n",
-    "    output_directory = folder_utils.find_folder(\n",
-    "        country, data_folder, data_category, output_folder\n",
-    "    )\n",
-    "    output_filename = f\"{country}_ASOS_krige_{year}.csv\"\n",
-    "    output_path = os.path.join(output_directory, output_filename)\n",
-    "    output_df.to_csv(output_path, index=False)\n",
-    "\n",
-    "    # return output_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "c0edbc91-4c3d-4132-bd39-14d376973256",
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
-   "source": [
-    "def get_year(start_year, end_year):\n",
-    "    # start_year = 1979\n",
-    "    # end_year = 2023\n",
-    "    year_list = list(range(start_year, end_year + 1))\n",
-    "\n",
-    "    # Convert the integer list to a string list\n",
-    "    year_str_list = [str(year) for year in year_list]\n",
-    "\n",
-    "    return year_str_list\n",
-    "\n",
-    "\n",
-    "def get_year_from_filename(filename):\n",
-    "    # extract year from filename\n",
-    "    # filename = \"GB_merged_ASOS_1979.csv\"\n",
-    "    parts = filename.split(\"_\")\n",
-    "    return parts[3]\n",
-    "\n",
-    "\n",
-    "def get_asos_year_file_list(country, data_folder, data_category, output_folder):\n",
-    "    input_folder_path = folder_utils.find_folder(\n",
-    "        country, data_folder, data_category, output_folder\n",
-    "    )\n",
-    "    csv_files = [\n",
-    "        f\n",
-    "        for f in os.listdir(input_folder_path)\n",
-    "        if f.endswith(\".csv\") and \"_merged_ASOS_\" in f\n",
-    "    ]\n",
-    "\n",
-    "    # sort by year\n",
-    "    csv_files.sort(key=lambda x: get_year_from_filename(x))\n",
-    "\n",
-    "    return [\n",
-    "        os.path.join(input_folder_path, csv_file) for csv_file in csv_files\n",
-    "    ]  # return the full path\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2d0bc66d-c821-4447-971e-cdbfb99c7dd3",
-   "metadata": {
-    "hidden": true
-   },
-   "source": [
-    "#### example"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "49ccf40e-5234-4662-bc1b-0662f3aae2e4",
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
-   "source": [
-    "# Example usage\n",
-    "country = \"GB\"\n",
-    "data_folder = \"data\"\n",
-    "data_read_category = \"raw_data\"\n",
-    "data_test_category = \"test_data\"\n",
-    "data_save_category = \"processed_data\"\n",
-    "output_folder = \"ASOS_DATA\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "254754fb-fa14-43d2-bde1-fb944fdf6fb5",
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
-   "source": [
-    "year_list = get_year(start_year=1979, end_year=2023)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "9b8f4348-a170-4b83-ab49-6b5335e00d7e",
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
-   "source": [
-    "csv_paths = get_asos_year_file_list(\n",
-    "    country, data_folder, data_save_category, output_folder\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "6c1c14c5-d014-48a9-b828-1f8a70529938",
-   "metadata": {
-    "hidden": true
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:33.099756Z",
+     "start_time": "2023-09-03T12:42:28.348725Z"
+    }
    },
    "outputs": [
     {
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+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:    (latitude: 32, longitude: 64, time: 8760)\n",
+       "Coordinates:\n",
+       "  * latitude   (latitude) float64 50.0 50.25 50.5 50.75 ... 57.25 57.5 57.75\n",
+       "  * longitude  (longitude) float64 -6.0 -5.875 -5.75 -5.625 ... 1.625 1.75 1.875\n",
+       "  * time       (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
+       "Data variables:\n",
+       "    t2m        (time, latitude, longitude) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-efbff49e-b64a-435b-93ba-dcfd09374dcf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-efbff49e-b64a-435b-93ba-dcfd09374dcf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 32</li><li><span class='xr-has-index'>longitude</span>: 64</li><li><span class='xr-has-index'>time</span>: 8760</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7173bfc5-3b7f-4679-9e9a-0dbb35e9895d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7173bfc5-3b7f-4679-9e9a-0dbb35e9895d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-1ca5bcd2-d0fa-4a98-8aa1-2300038638f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ca5bcd2-d0fa-4a98-8aa1-2300038638f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95626451-cd0d-42b0-a259-871c09a64ed9' class='xr-var-data-in' type='checkbox'><label for='data-95626451-cd0d-42b0-a259-871c09a64ed9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
+       "       52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25, 54.5 , 54.75,\n",
+       "       55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 , 56.75, 57.  , 57.25,\n",
+       "       57.5 , 57.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-29cbc346-b4f0-4622-bde9-82ea4f131cfc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29cbc346-b4f0-4622-bde9-82ea4f131cfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11233c8e-bb40-42a7-ab6c-c157ad366bf4' class='xr-var-data-in' type='checkbox'><label for='data-11233c8e-bb40-42a7-ab6c-c157ad366bf4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
+       "       -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125, -4.   , -3.875,\n",
+       "       -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125, -3.   , -2.875, -2.75 ,\n",
+       "       -2.625, -2.5  , -2.375, -2.25 , -2.125, -2.   , -1.875, -1.75 , -1.625,\n",
+       "       -1.5  , -1.375, -1.25 , -1.125, -1.   , -0.875, -0.75 , -0.625, -0.5  ,\n",
+       "       -0.375, -0.25 , -0.125,  0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,\n",
+       "        0.75 ,  0.875,  1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,\n",
+       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:00:00</div><input id='attrs-f233024f-24c4-43e4-95f1-aa7bd10d8cb1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f233024f-24c4-43e4-95f1-aa7bd10d8cb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ff38173-a40c-4834-bffc-6a1a972ae415' class='xr-var-data-in' type='checkbox'><label for='data-2ff38173-a40c-4834-bffc-6a1a972ae415' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-01-01T02:00:00.000000000&#x27;, ..., &#x27;2022-12-31T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-12-31T22:00:00.000000000&#x27;, &#x27;2022-12-31T23:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b50caacd-7afa-4a01-92bb-4057aa29b8cf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b50caacd-7afa-4a01-92bb-4057aa29b8cf' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3481c1fe-d62d-4303-8ad8-3b91120eb53d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3481c1fe-d62d-4303-8ad8-3b91120eb53d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e5249dd-55de-4c59-9b7e-00c75950f46e' class='xr-var-data-in' type='checkbox'><label for='data-9e5249dd-55de-4c59-9b7e-00c75950f46e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[17940480 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4846612d-7f6f-4049-b131-eaac888a421c' class='xr-section-summary-in' type='checkbox'  ><label for='section-4846612d-7f6f-4049-b131-eaac888a421c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-145fdbce-b6ed-4953-85f6-2d3248cf15bf' class='xr-index-data-in' type='checkbox'/><label for='index-145fdbce-b6ed-4953-85f6-2d3248cf15bf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
+       "        52.5, 52.75,  53.0, 53.25,  53.5, 53.75,  54.0, 54.25,  54.5, 54.75,\n",
+       "        55.0, 55.25,  55.5, 55.75,  56.0, 56.25,  56.5, 56.75,  57.0, 57.25,\n",
+       "        57.5, 57.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-56498434-c2d0-4270-ad13-a7cb8706e016' class='xr-index-data-in' type='checkbox'/><label for='index-56498434-c2d0-4270-ad13-a7cb8706e016' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
+       "       -4.875,  -4.75, -4.625,   -4.5, -4.375,  -4.25, -4.125,   -4.0, -3.875,\n",
+       "        -3.75, -3.625,   -3.5, -3.375,  -3.25, -3.125,   -3.0, -2.875,  -2.75,\n",
+       "       -2.625,   -2.5, -2.375,  -2.25, -2.125,   -2.0, -1.875,  -1.75, -1.625,\n",
+       "         -1.5, -1.375,  -1.25, -1.125,   -1.0, -0.875,  -0.75, -0.625,   -0.5,\n",
+       "       -0.375,  -0.25, -0.125,    0.0,  0.125,   0.25,  0.375,    0.5,  0.625,\n",
+       "         0.75,  0.875,    1.0,  1.125,   1.25,  1.375,    1.5,  1.625,   1.75,\n",
+       "        1.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-747d78b7-2d9d-410d-bfdc-f6e78738d212' class='xr-index-data-in' type='checkbox'/><label for='index-747d78b7-2d9d-410d-bfdc-f6e78738d212' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 03:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 08:00:00&#x27;, &#x27;2022-01-01 09:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 16:00:00&#x27;, &#x27;2022-12-31 17:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 23:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=8760, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8d21a2e-f789-49b0-87e2-6f7e02b1031b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e8d21a2e-f789-49b0-87e2-6f7e02b1031b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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+       "<xarray.Dataset>\n",
+       "Dimensions:    (latitude: 32, longitude: 64, time: 8760)\n",
+       "Coordinates:\n",
+       "  * latitude   (latitude) float64 50.0 50.25 50.5 50.75 ... 57.25 57.5 57.75\n",
+       "  * longitude  (longitude) float64 -6.0 -5.875 -5.75 -5.625 ... 1.625 1.75 1.875\n",
+       "  * time       (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
+       "Data variables:\n",
+       "    t2m        (time, latitude, longitude) float32 ..."
       ]
      },
-     "execution_count": 11,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "csv_paths"
+    "ds2 = xr.open_dataset(output_path2)\n",
+    "ds2"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "f02a98a0-f638-4acc-a245-5aa666da0352",
+   "execution_count": 42,
+   "id": "648c6fd4-0f18-4572-a82e-8ed573fe9502",
    "metadata": {
-    "hidden": true,
-    "scrolled": true
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:48.411292Z",
+     "start_time": "2023-09-03T12:42:48.379470Z"
+    }
    },
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "0it [00:00, ?it/s]C:\\Users\\WWQ\\AppData\\Local\\Temp\\ipykernel_33960\\2172439685.py:8: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  df[\"time\"] = pd.to_datetime(df[\"time\"])  # Convert to datetime\n",
-      "\n",
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+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:    (latitude: 32, longitude: 64, time: 8760)\n",
+       "Coordinates:\n",
+       "  * latitude   (latitude) float64 50.0 50.25 50.5 50.75 ... 57.25 57.5 57.75\n",
+       "  * longitude  (longitude) float64 -6.0 -5.875 -5.75 -5.625 ... 1.625 1.75 1.875\n",
+       "  * time       (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
+       "Data variables:\n",
+       "    t2m        (time, latitude, longitude) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dee172b5-4b88-45d4-ace8-c15227f9bd3c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dee172b5-4b88-45d4-ace8-c15227f9bd3c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 32</li><li><span class='xr-has-index'>longitude</span>: 64</li><li><span class='xr-has-index'>time</span>: 8760</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d62df510-ee46-4e6b-96cd-778d6a18f253' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d62df510-ee46-4e6b-96cd-778d6a18f253' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-3a570ead-e9c5-481e-97bc-c3840fc57d0f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a570ead-e9c5-481e-97bc-c3840fc57d0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6fd0dae-583c-4aaf-a92f-1e3e6cf84630' class='xr-var-data-in' type='checkbox'><label for='data-f6fd0dae-583c-4aaf-a92f-1e3e6cf84630' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
+       "       52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25, 54.5 , 54.75,\n",
+       "       55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 , 56.75, 57.  , 57.25,\n",
+       "       57.5 , 57.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-37a46717-987c-48e3-91b8-5357c7d1b61e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-37a46717-987c-48e3-91b8-5357c7d1b61e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3db161bf-cd3b-4b8c-90c5-ab8a9fca47a1' class='xr-var-data-in' type='checkbox'><label for='data-3db161bf-cd3b-4b8c-90c5-ab8a9fca47a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
+       "       -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125, -4.   , -3.875,\n",
+       "       -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125, -3.   , -2.875, -2.75 ,\n",
+       "       -2.625, -2.5  , -2.375, -2.25 , -2.125, -2.   , -1.875, -1.75 , -1.625,\n",
+       "       -1.5  , -1.375, -1.25 , -1.125, -1.   , -0.875, -0.75 , -0.625, -0.5  ,\n",
+       "       -0.375, -0.25 , -0.125,  0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,\n",
+       "        0.75 ,  0.875,  1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,\n",
+       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:00:00</div><input id='attrs-7d112bd2-e96b-47db-a915-4b61f680467e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d112bd2-e96b-47db-a915-4b61f680467e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f14dd6bb-3d89-4b97-b329-2ab1cd8a83ab' class='xr-var-data-in' type='checkbox'><label for='data-f14dd6bb-3d89-4b97-b329-2ab1cd8a83ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-01-01T02:00:00.000000000&#x27;, ..., &#x27;2022-12-31T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-12-31T22:00:00.000000000&#x27;, &#x27;2022-12-31T23:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c6ca7a7-bb39-46bc-ab50-c7f7a177a019' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c6ca7a7-bb39-46bc-ab50-c7f7a177a019' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-703ea466-cfd0-4a3c-afe9-e67b9864a462' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-703ea466-cfd0-4a3c-afe9-e67b9864a462' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c04a523-8a1f-4d55-add9-0be8fbf1c18c' class='xr-var-data-in' type='checkbox'><label for='data-2c04a523-8a1f-4d55-add9-0be8fbf1c18c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[17940480 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-16e5630b-1790-400e-a514-e0903f4d199a' class='xr-section-summary-in' type='checkbox'  ><label for='section-16e5630b-1790-400e-a514-e0903f4d199a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a18e85c0-9dae-4021-88cb-1ac623a433ca' class='xr-index-data-in' type='checkbox'/><label for='index-a18e85c0-9dae-4021-88cb-1ac623a433ca' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
+       "        52.5, 52.75,  53.0, 53.25,  53.5, 53.75,  54.0, 54.25,  54.5, 54.75,\n",
+       "        55.0, 55.25,  55.5, 55.75,  56.0, 56.25,  56.5, 56.75,  57.0, 57.25,\n",
+       "        57.5, 57.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6a8076ce-0741-4a31-b575-cf2e71109892' class='xr-index-data-in' type='checkbox'/><label for='index-6a8076ce-0741-4a31-b575-cf2e71109892' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
+       "       -4.875,  -4.75, -4.625,   -4.5, -4.375,  -4.25, -4.125,   -4.0, -3.875,\n",
+       "        -3.75, -3.625,   -3.5, -3.375,  -3.25, -3.125,   -3.0, -2.875,  -2.75,\n",
+       "       -2.625,   -2.5, -2.375,  -2.25, -2.125,   -2.0, -1.875,  -1.75, -1.625,\n",
+       "         -1.5, -1.375,  -1.25, -1.125,   -1.0, -0.875,  -0.75, -0.625,   -0.5,\n",
+       "       -0.375,  -0.25, -0.125,    0.0,  0.125,   0.25,  0.375,    0.5,  0.625,\n",
+       "         0.75,  0.875,    1.0,  1.125,   1.25,  1.375,    1.5,  1.625,   1.75,\n",
+       "        1.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4258f83a-34c4-48bf-9103-4f8a50e91416' class='xr-index-data-in' type='checkbox'/><label for='index-4258f83a-34c4-48bf-9103-4f8a50e91416' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 03:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 08:00:00&#x27;, &#x27;2022-01-01 09:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 16:00:00&#x27;, &#x27;2022-12-31 17:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 23:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=8760, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-31922012-b7fc-4ea9-b28e-fb69404de613' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-31922012-b7fc-4ea9-b28e-fb69404de613' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:    (latitude: 32, longitude: 64, time: 8760)\n",
+       "Coordinates:\n",
+       "  * latitude   (latitude) float64 50.0 50.25 50.5 50.75 ... 57.25 57.5 57.75\n",
+       "  * longitude  (longitude) float64 -6.0 -5.875 -5.75 -5.625 ... 1.625 1.75 1.875\n",
+       "  * time       (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
+       "Data variables:\n",
+       "    t2m        (time, latitude, longitude) float32 ..."
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds=xr.open_dataset(output_path)\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "f5f3dccf",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:37.203454Z",
+     "start_time": "2023-09-03T12:42:37.120326Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "average_temperatures2 = ds2[\"t2m\"].mean(dim=\"time\").to_dataframe().reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "75398fa3",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:51.465728Z",
+     "start_time": "2023-09-03T12:42:51.382919Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "average_temperatures = ds[\"t2m\"].mean(dim=\"time\").to_dataframe().reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "5cb5c63e",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:53.980571Z",
+     "start_time": "2023-09-03T12:42:53.968945Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "    latitude  longitude         t2m\n",
+      "0       50.0     -6.000  285.201080\n",
+      "1       50.0     -5.875  285.412201\n",
+      "2       50.0     -5.750  285.186462\n",
+      "3       50.0     -5.625  285.322144\n",
+      "4       50.0     -5.500  285.198395\n",
+      "5       50.0     -5.375  285.214233\n",
+      "6       50.0     -5.250  285.188293\n",
+      "7       50.0     -5.125  285.052155\n",
+      "8       50.0     -5.000  285.152618\n",
+      "9       50.0     -4.875  284.785858\n",
+      "10      50.0     -4.750  285.101593\n",
+      "11      50.0     -4.625  284.576385\n",
+      "12      50.0     -4.500  285.042999\n",
+      "13      50.0     -4.375  284.658600\n",
+      "14      50.0     -4.250  284.983551\n",
+      "15      50.0     -4.125  284.830658\n",
+      "16      50.0     -4.000  284.925018\n",
+      "17      50.0     -3.875  284.805573\n",
+      "18      50.0     -3.750  284.869781\n",
+      "19      50.0     -3.625  284.575684\n",
+      "20      50.0     -3.500  284.819489\n",
+      "21      50.0     -3.375  284.376831\n",
+      "22      50.0     -3.250  284.768646\n",
+      "23      50.0     -3.125  284.258911\n",
+      "24      50.0     -3.000  284.716400\n",
+      "25      50.0     -2.875  284.268585\n",
+      "26      50.0     -2.750  284.655731\n",
+      "27      50.0     -2.625  284.263916\n",
+      "28      50.0     -2.500  284.580841\n",
+      "29      50.0     -2.375  284.067078\n",
+      "30      50.0     -2.250  284.492798\n",
+      "31      50.0     -2.125  283.648315\n",
+      "32      50.0     -2.000  284.389862\n",
+      "33      50.0     -1.875  283.444214\n",
+      "34      50.0     -1.750  284.285675\n",
+      "35      50.0     -1.625  283.451263\n",
+      "36      50.0     -1.500  284.198425\n",
+      "37      50.0     -1.375  283.270416\n",
+      "38      50.0     -1.250  284.039062\n",
+      "39      50.0     -1.125  283.019836\n",
+      "40      50.0     -1.000  283.828186\n",
+      "41      50.0     -0.875  282.866730\n",
+      "42      50.0     -0.750  283.644073\n",
+      "43      50.0     -0.625  282.887421\n",
+      "44      50.0     -0.500  283.479156\n",
+      "45      50.0     -0.375  283.002380\n",
+      "46      50.0     -0.250  283.337463\n",
+      "47      50.0     -0.125  283.064148\n",
+      "48      50.0      0.000  283.199463\n",
+      "49      50.0      0.125  283.084930\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 打印结果\n",
+    "print(average_temperatures2.head(50))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "577b1784-62f3-48a3-b262-1f87ec52bc23",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:42:56.914128Z",
+     "start_time": "2023-09-03T12:42:56.905478Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "    latitude  longitude         t2m\n",
+      "0       50.0     -6.000  285.409943\n",
+      "1       50.0     -5.875  285.280273\n",
+      "2       50.0     -5.750  285.412750\n",
+      "3       50.0     -5.625  285.219971\n",
+      "4       50.0     -5.500  285.442780\n",
+      "5       50.0     -5.375  285.143280\n",
+      "6       50.0     -5.250  285.445282\n",
+      "7       50.0     -5.125  285.012695\n",
+      "8       50.0     -5.000  285.423584\n",
+      "9       50.0     -4.875  284.769653\n",
+      "10      50.0     -4.750  285.380798\n",
+      "11      50.0     -4.625  284.568665\n",
+      "12      50.0     -4.500  285.330536\n",
+      "13      50.0     -4.375  284.647858\n",
+      "14      50.0     -4.250  285.275848\n",
+      "15      50.0     -4.125  284.818359\n",
+      "16      50.0     -4.000  285.219330\n",
+      "17      50.0     -3.875  284.788330\n",
+      "18      50.0     -3.750  285.164429\n",
+      "19      50.0     -3.625  284.559570\n",
+      "20      50.0     -3.500  285.109375\n",
+      "21      50.0     -3.375  284.367004\n",
+      "22      50.0     -3.250  285.053925\n",
+      "23      50.0     -3.125  284.245026\n",
+      "24      50.0     -3.000  284.992645\n",
+      "25      50.0     -2.875  284.252350\n",
+      "26      50.0     -2.750  284.920563\n",
+      "27      50.0     -2.625  284.251007\n",
+      "28      50.0     -2.500  284.832977\n",
+      "29      50.0     -2.375  284.052002\n",
+      "30      50.0     -2.250  284.723358\n",
+      "31      50.0     -2.125  283.629639\n",
+      "32      50.0     -2.000  284.594727\n",
+      "33      50.0     -1.875  283.422424\n",
+      "34      50.0     -1.750  284.447144\n",
+      "35      50.0     -1.625  283.426727\n",
+      "36      50.0     -1.500  284.285583\n",
+      "37      50.0     -1.375  283.243835\n",
+      "38      50.0     -1.250  284.136414\n",
+      "39      50.0     -1.125  282.997314\n",
+      "40      50.0     -1.000  284.000214\n",
+      "41      50.0     -0.875  282.853363\n",
+      "42      50.0     -0.750  283.859253\n",
+      "43      50.0     -0.625  282.872711\n",
+      "44      50.0     -0.500  283.726990\n",
+      "45      50.0     -0.375  282.979858\n",
+      "46      50.0     -0.250  283.615021\n",
+      "47      50.0     -0.125  283.035583\n",
+      "48      50.0      0.000  283.501434\n",
+      "49      50.0      0.125  283.055298\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 打印结果\n",
+    "print(average_temperatures.head(50))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "c0c5b08d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:43:03.036114Z",
+     "start_time": "2023-09-03T12:43:03.019980Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>t2m</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-6.000</td>\n",
+       "      <td>285.201080</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-5.875</td>\n",
+       "      <td>285.412201</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-5.750</td>\n",
+       "      <td>285.186462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-5.625</td>\n",
+       "      <td>285.322144</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-5.500</td>\n",
+       "      <td>285.198395</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2043</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.375</td>\n",
+       "      <td>282.910614</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2044</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.500</td>\n",
+       "      <td>282.631836</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2045</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.625</td>\n",
+       "      <td>282.815277</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2046</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.750</td>\n",
+       "      <td>282.639893</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2047</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.875</td>\n",
+       "      <td>282.722931</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2048 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      latitude  longitude         t2m\n",
+       "0        50.00     -6.000  285.201080\n",
+       "1        50.00     -5.875  285.412201\n",
+       "2        50.00     -5.750  285.186462\n",
+       "3        50.00     -5.625  285.322144\n",
+       "4        50.00     -5.500  285.198395\n",
+       "...        ...        ...         ...\n",
+       "2043     57.75      1.375  282.910614\n",
+       "2044     57.75      1.500  282.631836\n",
+       "2045     57.75      1.625  282.815277\n",
+       "2046     57.75      1.750  282.639893\n",
+       "2047     57.75      1.875  282.722931\n",
+       "\n",
+       "[2048 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 打印结果\n",
+    "average_temperatures2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "29401de4",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:43:04.357281Z",
+     "start_time": "2023-09-03T12:43:04.343795Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>t2m</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-6.000</td>\n",
+       "      <td>285.409943</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-5.875</td>\n",
+       "      <td>285.280273</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-5.750</td>\n",
+       "      <td>285.412750</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-5.625</td>\n",
+       "      <td>285.219971</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-5.500</td>\n",
+       "      <td>285.442780</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2043</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.375</td>\n",
+       "      <td>283.326630</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2044</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.500</td>\n",
+       "      <td>282.603912</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2045</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.625</td>\n",
+       "      <td>283.227692</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2046</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.750</td>\n",
+       "      <td>282.596588</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2047</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.875</td>\n",
+       "      <td>283.128998</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2048 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      latitude  longitude         t2m\n",
+       "0        50.00     -6.000  285.409943\n",
+       "1        50.00     -5.875  285.280273\n",
+       "2        50.00     -5.750  285.412750\n",
+       "3        50.00     -5.625  285.219971\n",
+       "4        50.00     -5.500  285.442780\n",
+       "...        ...        ...         ...\n",
+       "2043     57.75      1.375  283.326630\n",
+       "2044     57.75      1.500  282.603912\n",
+       "2045     57.75      1.625  283.227692\n",
+       "2046     57.75      1.750  282.596588\n",
+       "2047     57.75      1.875  283.128998\n",
+       "\n",
+       "[2048 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "average_temperatures"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "ff482d3a-4ebd-4876-b5a6-2a50949d2a9d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:43:13.395066Z",
+     "start_time": "2023-09-03T12:43:13.202259Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_uk_with_temperatures(average_temperatures['t2m'], average_temperatures['latitude'], average_temperatures['longitude'],vmin = 280.,vmax=288)\n",
+    "# poly"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "2568563a",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:43:29.227792Z",
+     "start_time": "2023-09-03T12:43:29.039721Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_uk_with_temperatures(average_temperatures2['t2m'], average_temperatures2['latitude'], average_temperatures2['longitude'],vmin = 280.,vmax=288)\n",
+    "# north"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "79b93f56",
+   "metadata": {},
+   "source": [
+    "### era5_plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "b6b1742a",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:49:12.925708Z",
+     "start_time": "2023-09-03T12:49:12.922551Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "output_path =\"/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/da_test_data/2022_data/GB_2022_data/era5_pressure_level_2022_regrid_filter_850.nc\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "c7169f57",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:49:19.424656Z",
+     "start_time": "2023-09-03T12:49:19.391050Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
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+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (time: 8760, lat: 32, lon: 64)\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
+       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
+       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
+       "Data variables:\n",
+       "    t        (time, lat, lon) float32 ...\n",
+       "Attributes:\n",
+       "    regrid_method:  bilinear\n",
+       "    Conventions:    CF-1.6\n",
+       "    history:        2023-08-26 19:02:51 GMT by grib_to_netcdf-2.25.1: /opt/ec...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-35a3a46e-547f-4c7d-af27-0f91248f1b0e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-35a3a46e-547f-4c7d-af27-0f91248f1b0e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 8760</li><li><span class='xr-has-index'>lat</span>: 32</li><li><span class='xr-has-index'>lon</span>: 64</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4811fcdc-8a5d-4fc7-bbe9-ab74d312bd39' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4811fcdc-8a5d-4fc7-bbe9-ab74d312bd39' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:00:00</div><input id='attrs-373bc749-1ea3-467c-8f94-53a8654a52e6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-373bc749-1ea3-467c-8f94-53a8654a52e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4e5d3a6-f355-4007-9e80-d970565e305a' class='xr-var-data-in' type='checkbox'><label for='data-c4e5d3a6-f355-4007-9e80-d970565e305a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-01-01T02:00:00.000000000&#x27;, ..., &#x27;2022-12-31T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-12-31T22:00:00.000000000&#x27;, &#x27;2022-12-31T23:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-a19f039d-cb2e-46fc-86c4-5dfe373edccb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a19f039d-cb2e-46fc-86c4-5dfe373edccb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdab0532-24d7-4f0a-a5d8-0cb47ea69b57' class='xr-var-data-in' type='checkbox'><label for='data-fdab0532-24d7-4f0a-a5d8-0cb47ea69b57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
+       "       -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125, -4.   , -3.875,\n",
+       "       -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125, -3.   , -2.875, -2.75 ,\n",
+       "       -2.625, -2.5  , -2.375, -2.25 , -2.125, -2.   , -1.875, -1.75 , -1.625,\n",
+       "       -1.5  , -1.375, -1.25 , -1.125, -1.   , -0.875, -0.75 , -0.625, -0.5  ,\n",
+       "       -0.375, -0.25 , -0.125,  0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,\n",
+       "        0.75 ,  0.875,  1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,\n",
+       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-b8239d4d-2dc8-4f2d-9fc8-eb94af5c1f94' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b8239d4d-2dc8-4f2d-9fc8-eb94af5c1f94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c601218-f1d8-4da4-aa2a-11ab2cd25d91' class='xr-var-data-in' type='checkbox'><label for='data-3c601218-f1d8-4da4-aa2a-11ab2cd25d91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
+       "       52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25, 54.5 , 54.75,\n",
+       "       55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 , 56.75, 57.  , 57.25,\n",
+       "       57.5 , 57.75])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc778c05-e55b-4869-8b1c-c4bb83ae450d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bc778c05-e55b-4869-8b1c-c4bb83ae450d' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69d8a872-d04b-48b3-a05c-9b7c545b8b06' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69d8a872-d04b-48b3-a05c-9b7c545b8b06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d53d4320-28d2-44c3-8b69-820d3fe64953' class='xr-var-data-in' type='checkbox'><label for='data-d53d4320-28d2-44c3-8b69-820d3fe64953' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[17940480 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-daf2f85e-e577-46b2-8f93-e9c523d0b583' class='xr-section-summary-in' type='checkbox'  ><label for='section-daf2f85e-e577-46b2-8f93-e9c523d0b583' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-428df629-9452-4142-8f85-5b29aef3b9c4' class='xr-index-data-in' type='checkbox'/><label for='index-428df629-9452-4142-8f85-5b29aef3b9c4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 03:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 08:00:00&#x27;, &#x27;2022-01-01 09:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 16:00:00&#x27;, &#x27;2022-12-31 17:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 23:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=8760, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8867367d-e9ed-4710-8715-5cd5c7977331' class='xr-index-data-in' type='checkbox'/><label for='index-8867367d-e9ed-4710-8715-5cd5c7977331' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
+       "       -4.875,  -4.75, -4.625,   -4.5, -4.375,  -4.25, -4.125,   -4.0, -3.875,\n",
+       "        -3.75, -3.625,   -3.5, -3.375,  -3.25, -3.125,   -3.0, -2.875,  -2.75,\n",
+       "       -2.625,   -2.5, -2.375,  -2.25, -2.125,   -2.0, -1.875,  -1.75, -1.625,\n",
+       "         -1.5, -1.375,  -1.25, -1.125,   -1.0, -0.875,  -0.75, -0.625,   -0.5,\n",
+       "       -0.375,  -0.25, -0.125,    0.0,  0.125,   0.25,  0.375,    0.5,  0.625,\n",
+       "         0.75,  0.875,    1.0,  1.125,   1.25,  1.375,    1.5,  1.625,   1.75,\n",
+       "        1.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cfcfa677-8fd9-442d-be55-f8888186065a' class='xr-index-data-in' type='checkbox'/><label for='index-cfcfa677-8fd9-442d-be55-f8888186065a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
+       "        52.5, 52.75,  53.0, 53.25,  53.5, 53.75,  54.0, 54.25,  54.5, 54.75,\n",
+       "        55.0, 55.25,  55.5, 55.75,  56.0, 56.25,  56.5, 56.75,  57.0, 57.25,\n",
+       "        57.5, 57.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-546c3eab-a18b-417d-9964-967cdb936be7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-546c3eab-a18b-417d-9964-967cdb936be7' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>regrid_method :</span></dt><dd>bilinear</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>2023-08-26 19:02:51 GMT by grib_to_netcdf-2.25.1: /opt/ecmwf/mars-client/bin/grib_to_netcdf.bin -S param -o /cache/data5/adaptor.mars.internal-1693076569.6353679-31590-19-f7952df7-0d58-48ad-916e-e71a1bb24632.nc /cache/tmp/f7952df7-0d58-48ad-916e-e71a1bb24632-adaptor.mars.internal-1693076532.8003507-31590-29-tmp.grib</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (time: 8760, lat: 32, lon: 64)\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
+       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
+       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
+       "Data variables:\n",
+       "    t        (time, lat, lon) float32 ...\n",
+       "Attributes:\n",
+       "    regrid_method:  bilinear\n",
+       "    Conventions:    CF-1.6\n",
+       "    history:        2023-08-26 19:02:51 GMT by grib_to_netcdf-2.25.1: /opt/ec..."
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds3=xr.open_dataset(output_path)\n",
+    "ds3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "feda6254",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:49:28.828226Z",
+     "start_time": "2023-09-03T12:49:28.765617Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "average_temperatures3 = ds3[\"t\"].mean(dim=\"time\").to_dataframe().reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "b88d0a6b",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:49:32.810296Z",
+     "start_time": "2023-09-03T12:49:32.800474Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "     lat    lon           t\n",
+      "0   50.0 -6.000  277.038391\n",
+      "1   50.0 -5.875  277.036316\n",
+      "2   50.0 -5.750  277.034271\n",
+      "3   50.0 -5.625  277.020325\n",
+      "4   50.0 -5.500  277.006317\n",
+      "5   50.0 -5.375  277.002075\n",
+      "6   50.0 -5.250  276.997498\n",
+      "7   50.0 -5.125  276.998413\n",
+      "8   50.0 -5.000  276.999634\n",
+      "9   50.0 -4.875  277.006744\n",
+      "10  50.0 -4.750  277.012207\n",
+      "11  50.0 -4.625  277.012756\n",
+      "12  50.0 -4.500  277.015564\n",
+      "13  50.0 -4.375  277.019806\n",
+      "14  50.0 -4.250  277.023285\n",
+      "15  50.0 -4.125  277.018982\n",
+      "16  50.0 -4.000  277.014587\n",
+      "17  50.0 -3.875  277.018188\n",
+      "18  50.0 -3.750  277.020294\n",
+      "19  50.0 -3.625  277.032379\n",
+      "20  50.0 -3.500  277.044342\n",
+      "21  50.0 -3.375  277.043457\n",
+      "22  50.0 -3.250  277.044006\n",
+      "23  50.0 -3.125  277.051300\n",
+      "24  50.0 -3.000  277.060150\n",
+      "25  50.0 -2.875  277.060791\n",
+      "26  50.0 -2.750  277.062622\n",
+      "27  50.0 -2.625  277.071411\n",
+      "28  50.0 -2.500  277.080994\n",
+      "29  50.0 -2.375  277.079895\n",
+      "30  50.0 -2.250  277.078552\n",
+      "31  50.0 -2.125  277.091766\n",
+      "32  50.0 -2.000  277.104645\n",
+      "33  50.0 -1.875  277.105713\n",
+      "34  50.0 -1.750  277.107086\n",
+      "35  50.0 -1.625  277.114441\n",
+      "36  50.0 -1.500  277.123413\n",
+      "37  50.0 -1.375  277.114899\n",
+      "38  50.0 -1.250  277.105774\n",
+      "39  50.0 -1.125  277.102539\n",
+      "40  50.0 -1.000  277.099701\n",
+      "41  50.0 -0.875  277.097717\n",
+      "42  50.0 -0.750  277.095551\n",
+      "43  50.0 -0.625  277.100128\n",
+      "44  50.0 -0.500  277.105347\n",
+      "45  50.0 -0.375  277.121735\n",
+      "46  50.0 -0.250  277.138275\n",
+      "47  50.0 -0.125  277.141449\n",
+      "48  50.0  0.000  277.143097\n",
+      "49  50.0  0.125  277.152649\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(average_temperatures3.head(50))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "4ab42d45",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:49:35.930614Z",
+     "start_time": "2023-09-03T12:49:35.914728Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>lat</th>\n",
+       "      <th>lon</th>\n",
+       "      <th>t</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-6.000</td>\n",
+       "      <td>277.038391</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-5.875</td>\n",
+       "      <td>277.036316</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-5.750</td>\n",
+       "      <td>277.034271</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-5.625</td>\n",
+       "      <td>277.020325</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>50.00</td>\n",
+       "      <td>-5.500</td>\n",
+       "      <td>277.006317</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2043</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.375</td>\n",
+       "      <td>274.762848</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2044</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.500</td>\n",
+       "      <td>274.756714</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2045</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.625</td>\n",
+       "      <td>274.745331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2046</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.750</td>\n",
+       "      <td>274.733307</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2047</th>\n",
+       "      <td>57.75</td>\n",
+       "      <td>1.875</td>\n",
+       "      <td>274.733307</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2048 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        lat    lon           t\n",
+       "0     50.00 -6.000  277.038391\n",
+       "1     50.00 -5.875  277.036316\n",
+       "2     50.00 -5.750  277.034271\n",
+       "3     50.00 -5.625  277.020325\n",
+       "4     50.00 -5.500  277.006317\n",
+       "...     ...    ...         ...\n",
+       "2043  57.75  1.375  274.762848\n",
+       "2044  57.75  1.500  274.756714\n",
+       "2045  57.75  1.625  274.745331\n",
+       "2046  57.75  1.750  274.733307\n",
+       "2047  57.75  1.875  274.733307\n",
+       "\n",
+       "[2048 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "average_temperatures3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "1a72d355",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:50:30.712750Z",
+     "start_time": "2023-09-03T12:50:30.528193Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_uk_with_temperatures_2(average_temperatures3['t'], average_temperatures3['lat'], average_temperatures3['lon'])\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9d9814a1",
+   "metadata": {},
+   "source": [
+    "### select oneday"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "id": "ad0c9db0",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T11:02:59.509935Z",
+     "start_time": "2023-09-03T11:02:59.461804Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# 假设你的DataFrame中包含的列名是 \"latitude\"、\"longitude\"、\"time\" 和 \"t2m\"\n",
+    "# 选择特定时间点的数据\n",
+    "selected_time = \"2022-06-15 12:00:00\"\n",
+    "selected_data = df[df[\"time\"] == selected_time]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "id": "89329235",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T11:03:00.513641Z",
+     "start_time": "2023-09-03T11:03:00.495371Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>time</th>\n",
+       "      <th>t2m</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3971</th>\n",
+       "      <td>57.2049</td>\n",
+       "      <td>-2.2053</td>\n",
+       "      <td>2022-06-15 12:00:00</td>\n",
+       "      <td>292.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12999</th>\n",
+       "      <td>53.2527</td>\n",
+       "      <td>-4.5365</td>\n",
+       "      <td>2022-06-15 12:00:00</td>\n",
+       "      <td>290.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18531</th>\n",
+       "      <td>52.9622</td>\n",
+       "      <td>-0.5616</td>\n",
+       "      <td>2022-06-15 12:00:00</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26616</th>\n",
+       "      <td>54.6135</td>\n",
+       "      <td>-5.8735</td>\n",
+       "      <td>2022-06-15 12:00:00</td>\n",
+       "      <td>293.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35682</th>\n",
+       "      <td>51.6202</td>\n",
+       "      <td>-1.0987</td>\n",
+       "      <td>2022-06-15 12:00:00</td>\n",
+       "      <td>297.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>597113</th>\n",
+       "      <td>52.1239</td>\n",
+       "      <td>0.9573</td>\n",
+       "      <td>2022-06-15 12:00:00</td>\n",
+       "      <td>295.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>606072</th>\n",
+       "      <td>52.6114</td>\n",
+       "      <td>-0.4612</td>\n",
+       "      <td>2022-06-15 12:00:00</td>\n",
+       "      <td>296.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>611555</th>\n",
+       "      <td>53.5816</td>\n",
+       "      <td>-3.0555</td>\n",
+       "      <td>2022-06-15 12:00:00</td>\n",
+       "      <td>292.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>617219</th>\n",
+       "      <td>51.0063</td>\n",
+       "      <td>-2.6428</td>\n",
+       "      <td>2022-06-15 12:00:00</td>\n",
+       "      <td>295.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>623730</th>\n",
+       "      <td>53.3943</td>\n",
+       "      <td>-1.3885</td>\n",
+       "      <td>2022-06-15 12:00:00</td>\n",
+       "      <td>291.2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>76 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        latitude  longitude                 time    t2m\n",
+       "3971     57.2049    -2.2053  2022-06-15 12:00:00  292.2\n",
+       "12999    53.2527    -4.5365  2022-06-15 12:00:00  290.2\n",
+       "18531    52.9622    -0.5616  2022-06-15 12:00:00    NaN\n",
+       "26616    54.6135    -5.8735  2022-06-15 12:00:00  293.2\n",
+       "35682    51.6202    -1.0987  2022-06-15 12:00:00  297.2\n",
+       "...          ...        ...                  ...    ...\n",
+       "597113   52.1239     0.9573  2022-06-15 12:00:00  295.2\n",
+       "606072   52.6114    -0.4612  2022-06-15 12:00:00  296.2\n",
+       "611555   53.5816    -3.0555  2022-06-15 12:00:00  292.2\n",
+       "617219   51.0063    -2.6428  2022-06-15 12:00:00  295.2\n",
+       "623730   53.3943    -1.3885  2022-06-15 12:00:00  291.2\n",
+       "\n",
+       "[76 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 137,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "selected_data \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "3d8f990c",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:50:14.200057Z",
+     "start_time": "2023-09-03T12:50:14.037756Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def plot_uk_with_temperatures_2(temperature_mean, latitudes, longitudes):\n",
+    "    # 创建一个matplotlib的图和坐标轴，使用PlateCarree投影\n",
+    "    fig, ax = plt.subplots(subplot_kw={'projection': ccrs.PlateCarree()})\n",
+    "    \n",
+    "    # 设置地理范围为英国周边\n",
+    "    ax.set_extent([-10, 3, 49, 60], crs=ccrs.PlateCarree())\n",
+    "    \n",
+    "    # 添加英国的边界\n",
+    "    ax.add_feature(cfeature.BORDERS, linestyle=':')\n",
+    "    \n",
+    "    # 添加海岸线和湖泊\n",
+    "    ax.add_feature(cfeature.COASTLINE)\n",
+    "    ax.add_feature(cfeature.LAKES, edgecolor='black')\n",
+    "    \n",
+    "    # 添加网格线\n",
+    "    ax.gridlines(draw_labels=True)\n",
+    "    \n",
+    "    # 在地图上绘制温度均值\n",
+    "    scatter_size = 50  # Modify this value to adjust point size\n",
+    "#     vmin = temperature_mean.min()  # Minimum value for color mapping\n",
+    "#     vmax = temperature_mean.max()  # Maximum value for color mapping\n",
+    "#     vmin = 282\n",
+    "#     vmax = 290\n",
+    "    plt.scatter(longitudes, latitudes, c=temperature_mean, s=scatter_size, cmap='coolwarm', transform=ccrs.PlateCarree())\n",
+    "#     plt.scatter(longitudes, latitudes, c=temperature_mean, s=scatter_size, cmap='coolwarm', transform=ccrs.PlateCarree())\n",
+    "    \n",
+    "    plt.colorbar(label='Temperature Mean (C)')\n",
+    "    \n",
+    "    # 显示图像\n",
+    "    plt.show()\n",
+    "\n",
+    "# 假设latitudes和longitudes是观测站的纬度和经度数组\n",
+    "plot_uk_with_temperatures_2(temperature_mean_by_station['t2m'], temperature_mean_by_station['latitude'], temperature_mean_by_station['longitude'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "id": "dfab7e86",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T11:03:09.980122Z",
+     "start_time": "2023-09-03T11:03:09.824409Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_uk_with_temperatures_2(selected_data[\"t2m\"],selected_data[\"latitude\"],selected_data[\"longitude\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "60952b46",
+   "metadata": {},
+   "source": [
+    "###  ds_select"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "2fe3a5e8",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:51:54.812157Z",
+     "start_time": "2023-09-03T12:51:54.790031Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
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+       "<defs>\n",
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+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:    (latitude: 32, longitude: 64)\n",
+       "Coordinates:\n",
+       "  * latitude   (latitude) float64 50.0 50.25 50.5 50.75 ... 57.25 57.5 57.75\n",
+       "  * longitude  (longitude) float64 -6.0 -5.875 -5.75 -5.625 ... 1.625 1.75 1.875\n",
+       "    time       datetime64[ns] 2022-01-01\n",
+       "Data variables:\n",
+       "    t2m        (latitude, longitude) float32 285.8 286.8 285.6 ... 279.5 276.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8f0c111b-c247-4c87-b2b2-13f541159ed2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8f0c111b-c247-4c87-b2b2-13f541159ed2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 32</li><li><span class='xr-has-index'>longitude</span>: 64</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5fd0a01f-11ac-4e15-abe2-a0649860dc2e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5fd0a01f-11ac-4e15-abe2-a0649860dc2e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-f40f5e7e-7dfc-4796-aa25-68796c1278e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f40f5e7e-7dfc-4796-aa25-68796c1278e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cfef2a4-5c5c-49cb-a381-23df6835c207' class='xr-var-data-in' type='checkbox'><label for='data-3cfef2a4-5c5c-49cb-a381-23df6835c207' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
+       "       52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25, 54.5 , 54.75,\n",
+       "       55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 , 56.75, 57.  , 57.25,\n",
+       "       57.5 , 57.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-71c48cac-94d2-4984-83ba-795dbe7cdc8d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-71c48cac-94d2-4984-83ba-795dbe7cdc8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ddf4ee4-b0f1-444f-8656-4908bf1d8a53' class='xr-var-data-in' type='checkbox'><label for='data-7ddf4ee4-b0f1-444f-8656-4908bf1d8a53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
+       "       -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125, -4.   , -3.875,\n",
+       "       -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125, -3.   , -2.875, -2.75 ,\n",
+       "       -2.625, -2.5  , -2.375, -2.25 , -2.125, -2.   , -1.875, -1.75 , -1.625,\n",
+       "       -1.5  , -1.375, -1.25 , -1.125, -1.   , -0.875, -0.75 , -0.625, -0.5  ,\n",
+       "       -0.375, -0.25 , -0.125,  0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,\n",
+       "        0.75 ,  0.875,  1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,\n",
+       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01</div><input id='attrs-7147392e-ef27-44ab-b117-f4029ae3dacf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7147392e-ef27-44ab-b117-f4029ae3dacf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6163feb3-be9e-49c6-9a8a-08d7bb69ca43' class='xr-var-data-in' type='checkbox'><label for='data-6163feb3-be9e-49c6-9a8a-08d7bb69ca43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e3cc398-2b52-445a-8b05-59e22c6feb61' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8e3cc398-2b52-445a-8b05-59e22c6feb61' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>285.8 286.8 285.6 ... 279.5 276.8</div><input id='attrs-0622f647-b6d1-4012-a0ef-00ced82dc6d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0622f647-b6d1-4012-a0ef-00ced82dc6d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a85c814-cd25-4955-a481-bf91ffdde706' class='xr-var-data-in' type='checkbox'><label for='data-3a85c814-cd25-4955-a481-bf91ffdde706' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[285.76486, 286.75388, 285.62247, ..., 279.38367, 277.57   , 279.38773],\n",
+       "       [285.83807, 286.72784, 285.6694 , ..., 279.3199 , 277.58795, 279.28244],\n",
+       "       [285.91324, 286.69766, 285.71182, ..., 279.2686 , 277.60025, 279.18762],\n",
+       "       ...,\n",
+       "       [286.80142, 284.66632, 286.85178, ..., 277.47018, 279.77713, 277.01422],\n",
+       "       [286.79123, 284.54694, 286.83655, ..., 277.36157, 279.6346 , 276.9032 ],\n",
+       "       [286.7752 , 284.4248 , 286.81415, ..., 277.24985, 279.50485, 276.78925]],\n",
+       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-406d9a16-b5cb-4ad9-8d68-e7416cb02edf' class='xr-section-summary-in' type='checkbox'  ><label for='section-406d9a16-b5cb-4ad9-8d68-e7416cb02edf' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-41aa2fdf-1f93-4e29-9a9f-1efb1c66bfd7' class='xr-index-data-in' type='checkbox'/><label for='index-41aa2fdf-1f93-4e29-9a9f-1efb1c66bfd7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
+       "        52.5, 52.75,  53.0, 53.25,  53.5, 53.75,  54.0, 54.25,  54.5, 54.75,\n",
+       "        55.0, 55.25,  55.5, 55.75,  56.0, 56.25,  56.5, 56.75,  57.0, 57.25,\n",
+       "        57.5, 57.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7ef67dc2-4961-4747-ba95-6b01aa4cd7d4' class='xr-index-data-in' type='checkbox'/><label for='index-7ef67dc2-4961-4747-ba95-6b01aa4cd7d4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
+       "       -4.875,  -4.75, -4.625,   -4.5, -4.375,  -4.25, -4.125,   -4.0, -3.875,\n",
+       "        -3.75, -3.625,   -3.5, -3.375,  -3.25, -3.125,   -3.0, -2.875,  -2.75,\n",
+       "       -2.625,   -2.5, -2.375,  -2.25, -2.125,   -2.0, -1.875,  -1.75, -1.625,\n",
+       "         -1.5, -1.375,  -1.25, -1.125,   -1.0, -0.875,  -0.75, -0.625,   -0.5,\n",
+       "       -0.375,  -0.25, -0.125,    0.0,  0.125,   0.25,  0.375,    0.5,  0.625,\n",
+       "         0.75,  0.875,    1.0,  1.125,   1.25,  1.375,    1.5,  1.625,   1.75,\n",
+       "        1.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aba674c0-4d5a-42ff-8ace-b205d2cce5df' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aba674c0-4d5a-42ff-8ace-b205d2cce5df' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:    (latitude: 32, longitude: 64)\n",
+       "Coordinates:\n",
+       "  * latitude   (latitude) float64 50.0 50.25 50.5 50.75 ... 57.25 57.5 57.75\n",
+       "  * longitude  (longitude) float64 -6.0 -5.875 -5.75 -5.625 ... 1.625 1.75 1.875\n",
+       "    time       datetime64[ns] 2022-01-01\n",
+       "Data variables:\n",
+       "    t2m        (latitude, longitude) float32 285.8 286.8 285.6 ... 279.5 276.8"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "selected_time = \"2022-01-01 00:00:00\"\n",
+    "selected_data = ds.sel(time=selected_time)\n",
+    "selected_data #poly"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "bd0a0b2f-987a-47a7-ac14-6e1c36017ab7",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:51:56.699430Z",
+     "start_time": "2023-09-03T12:51:56.690280Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[50.   50.25 50.5  50.75 51.   51.25 51.5  51.75 52.   52.25 52.5  52.75\n",
+      " 53.   53.25 53.5  53.75 54.   54.25 54.5  54.75 55.   55.25 55.5  55.75\n",
+      " 56.   56.25 56.5  56.75 57.   57.25 57.5  57.75]\n",
+      "[-6.    -5.875 -5.75  -5.625 -5.5   -5.375 -5.25  -5.125 -5.    -4.875\n",
+      " -4.75  -4.625 -4.5   -4.375 -4.25  -4.125 -4.    -3.875 -3.75  -3.625\n",
+      " -3.5   -3.375 -3.25  -3.125 -3.    -2.875 -2.75  -2.625 -2.5   -2.375\n",
+      " -2.25  -2.125 -2.    -1.875 -1.75  -1.625 -1.5   -1.375 -1.25  -1.125\n",
+      " -1.    -0.875 -0.75  -0.625 -0.5   -0.375 -0.25  -0.125  0.     0.125\n",
+      "  0.25   0.375  0.5    0.625  0.75   0.875  1.     1.125  1.25   1.375\n",
+      "  1.5    1.625  1.75   1.875]\n",
+      "[[285.76486 286.75388 285.62247 ... 279.38367 277.57    279.38773]\n",
+      " [285.83807 286.72784 285.6694  ... 279.3199  277.58795 279.28244]\n",
+      " [285.91324 286.69766 285.71182 ... 279.2686  277.60025 279.18762]\n",
+      " ...\n",
+      " [286.80142 284.66632 286.85178 ... 277.47018 279.77713 277.01422]\n",
+      " [286.79123 284.54694 286.83655 ... 277.36157 279.6346  276.9032 ]\n",
+      " [286.7752  284.4248  286.81415 ... 277.24985 279.50485 276.78925]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 提取所需的信息\n",
+    "selected_latitudes = selected_data[\"latitude\"].values\n",
+    "selected_longitudes = selected_data[\"longitude\"].values\n",
+    "selected_temperatures = selected_data[\"t2m\"].values\n",
+    "\n",
+    "# 打印结果\n",
+    "print(selected_latitudes)\n",
+    "print(selected_longitudes)\n",
+    "print(selected_temperatures)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "d410174b",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:51:58.149803Z",
+     "start_time": "2023-09-03T12:51:57.992505Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def plot_selected_temperatures_3(temperature_data, latitudes, longitudes):\n",
+    "    # 创建一个matplotlib的图和坐标轴，使用PlateCarree投影\n",
+    "    fig, ax = plt.subplots(subplot_kw={'projection': ccrs.PlateCarree()})\n",
+    "    \n",
+    "    # 设置地理范围为英国周边\n",
+    "    ax.set_extent([-10, 3, 49, 60], crs=ccrs.PlateCarree())\n",
+    "    \n",
+    "    # 添加英国的边界\n",
+    "    ax.add_feature(cfeature.BORDERS, linestyle=':')\n",
+    "    \n",
+    "    # 添加海岸线和湖泊\n",
+    "    ax.add_feature(cfeature.COASTLINE)\n",
+    "    ax.add_feature(cfeature.LAKES, edgecolor='black')\n",
+    "    \n",
+    "    # 添加网格线\n",
+    "    ax.gridlines(draw_labels=True)\n",
+    "    \n",
+    "    # 在地图上绘制温度值\n",
+    "    im = plt.pcolormesh(longitudes, latitudes, temperature_data, cmap='coolwarm', transform=ccrs.PlateCarree())\n",
+    "    \n",
+    "    plt.colorbar(im, label='Temperature (C)')\n",
+    "    \n",
+    "    # 显示图像\n",
+    "    plt.show()\n",
+    "\n",
+    "# 使用 selected_data 中的温度值、纬度和经度\n",
+    "temperature_data = selected_data[\"t2m\"].values\n",
+    "latitudes = selected_data[\"latitude\"].values\n",
+    "longitudes = selected_data[\"longitude\"].values\n",
+    "\n",
+    "plot_selected_temperatures_3(temperature_data, latitudes, longitudes)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "4dc395bf",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T10:40:45.166524Z",
+     "start_time": "2023-09-03T10:40:45.156392Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(32,)\n",
+      "(64,)\n",
+      "(32, 64)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 假设你的xarray数据集的时间坐标为 \"time\"，经纬度坐标为 \"lat\" 和 \"lon\"\n",
+    "# 选择特定时间点的数据\n",
+    "selected_time = \"2022-08-15 12:00:00\"\n",
+    "selected_data = ds.sel(time=selected_time)\n",
+    "\n",
+    "# 提取所需的信息\n",
+    "selected_latitudes = selected_data[\"latitude\"].values\n",
+    "selected_longitudes = selected_data[\"longitude\"].values\n",
+    "selected_temperatures = selected_data[\"t2m\"].values\n",
+    "\n",
+    "# 打印结果\n",
+    "print(selected_latitudes.shape)\n",
+    "print(selected_longitudes.shape)\n",
+    "print(selected_temperatures.shape)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c08ac32",
+   "metadata": {},
+   "source": [
+    "### ds_2plot_one_day_poly"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "3cba3801",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:55:58.950831Z",
+     "start_time": "2023-09-03T12:55:58.930605Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:    (latitude: 32, longitude: 64)\n",
+       "Coordinates:\n",
+       "  * latitude   (latitude) float64 50.0 50.25 50.5 50.75 ... 57.25 57.5 57.75\n",
+       "  * longitude  (longitude) float64 -6.0 -5.875 -5.75 -5.625 ... 1.625 1.75 1.875\n",
+       "    time       datetime64[ns] 2022-01-01\n",
+       "Data variables:\n",
+       "    t2m        (latitude, longitude) float32 286.3 286.9 286.0 ... 279.8 279.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fbe7c8c2-a275-4e8d-bff2-3d82de22ba25' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fbe7c8c2-a275-4e8d-bff2-3d82de22ba25' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 32</li><li><span class='xr-has-index'>longitude</span>: 64</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fd0fbf06-e799-4ed8-bf34-3ee3dcc87c07' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd0fbf06-e799-4ed8-bf34-3ee3dcc87c07' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-4c7f40cc-0c10-4e4c-a5a9-d60b3c0952a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c7f40cc-0c10-4e4c-a5a9-d60b3c0952a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8b78c13-36fe-43f8-88c0-d0e834908a5b' class='xr-var-data-in' type='checkbox'><label for='data-a8b78c13-36fe-43f8-88c0-d0e834908a5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
+       "       52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25, 54.5 , 54.75,\n",
+       "       55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 , 56.75, 57.  , 57.25,\n",
+       "       57.5 , 57.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-4939537f-59c7-45dc-ae5d-98bceb29bc14' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4939537f-59c7-45dc-ae5d-98bceb29bc14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebe60654-58d3-4575-8aaa-abb1e6905340' class='xr-var-data-in' type='checkbox'><label for='data-ebe60654-58d3-4575-8aaa-abb1e6905340' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
+       "       -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125, -4.   , -3.875,\n",
+       "       -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125, -3.   , -2.875, -2.75 ,\n",
+       "       -2.625, -2.5  , -2.375, -2.25 , -2.125, -2.   , -1.875, -1.75 , -1.625,\n",
+       "       -1.5  , -1.375, -1.25 , -1.125, -1.   , -0.875, -0.75 , -0.625, -0.5  ,\n",
+       "       -0.375, -0.25 , -0.125,  0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,\n",
+       "        0.75 ,  0.875,  1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,\n",
+       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01</div><input id='attrs-8552d4aa-c6f2-45a6-95be-06af5d678d12' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8552d4aa-c6f2-45a6-95be-06af5d678d12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-062b327c-1066-437b-ae62-eb70ab3d40c0' class='xr-var-data-in' type='checkbox'><label for='data-062b327c-1066-437b-ae62-eb70ab3d40c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-829f2614-df1d-4d1a-bc1e-0ff71b71f665' class='xr-section-summary-in' type='checkbox'  checked><label for='section-829f2614-df1d-4d1a-bc1e-0ff71b71f665' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>286.3 286.9 286.0 ... 279.8 279.4</div><input id='attrs-40beae8c-9ccf-4f5f-98d2-1dd81f256d94' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40beae8c-9ccf-4f5f-98d2-1dd81f256d94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ee07c9d-9423-4774-a52a-a7888eca557e' class='xr-var-data-in' type='checkbox'><label for='data-6ee07c9d-9423-4774-a52a-a7888eca557e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[286.25427, 286.90836, 286.0033 , ..., 279.5597 , 278.78085, 279.72287],\n",
+       "       [286.24817, 286.8942 , 285.9765 , ..., 279.53497, 278.71426, 279.658  ],\n",
+       "       [286.24606, 286.87656, 285.9482 , ..., 279.5249 , 278.64438, 279.60568],\n",
+       "       ...,\n",
+       "       [286.92368, 285.96918, 286.89618, ..., 279.66223, 280.00348, 279.4202 ],\n",
+       "       [286.9237 , 285.94824, 286.8891 , ..., 279.66003, 279.89514, 279.41745],\n",
+       "       [286.9184 , 285.92935, 286.87503, ..., 279.65747, 279.80164, 279.41452]],\n",
+       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b6f87fd5-206c-4145-895e-3c8d4e2bb022' class='xr-section-summary-in' type='checkbox'  ><label for='section-b6f87fd5-206c-4145-895e-3c8d4e2bb022' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dc7f5b87-2525-4edc-b767-35b30154246b' class='xr-index-data-in' type='checkbox'/><label for='index-dc7f5b87-2525-4edc-b767-35b30154246b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
+       "        52.5, 52.75,  53.0, 53.25,  53.5, 53.75,  54.0, 54.25,  54.5, 54.75,\n",
+       "        55.0, 55.25,  55.5, 55.75,  56.0, 56.25,  56.5, 56.75,  57.0, 57.25,\n",
+       "        57.5, 57.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-79138c03-581b-40ec-8c4a-ea08be922d54' class='xr-index-data-in' type='checkbox'/><label for='index-79138c03-581b-40ec-8c4a-ea08be922d54' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
+       "       -4.875,  -4.75, -4.625,   -4.5, -4.375,  -4.25, -4.125,   -4.0, -3.875,\n",
+       "        -3.75, -3.625,   -3.5, -3.375,  -3.25, -3.125,   -3.0, -2.875,  -2.75,\n",
+       "       -2.625,   -2.5, -2.375,  -2.25, -2.125,   -2.0, -1.875,  -1.75, -1.625,\n",
+       "         -1.5, -1.375,  -1.25, -1.125,   -1.0, -0.875,  -0.75, -0.625,   -0.5,\n",
+       "       -0.375,  -0.25, -0.125,    0.0,  0.125,   0.25,  0.375,    0.5,  0.625,\n",
+       "         0.75,  0.875,    1.0,  1.125,   1.25,  1.375,    1.5,  1.625,   1.75,\n",
+       "        1.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5f186dd-e0ad-4831-9f10-b23110e73338' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f5f186dd-e0ad-4831-9f10-b23110e73338' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:    (latitude: 32, longitude: 64)\n",
+       "Coordinates:\n",
+       "  * latitude   (latitude) float64 50.0 50.25 50.5 50.75 ... 57.25 57.5 57.75\n",
+       "  * longitude  (longitude) float64 -6.0 -5.875 -5.75 -5.625 ... 1.625 1.75 1.875\n",
+       "    time       datetime64[ns] 2022-01-01\n",
+       "Data variables:\n",
+       "    t2m        (latitude, longitude) float32 286.3 286.9 286.0 ... 279.8 279.4"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "selected_time = \"2022-01-01 00:00:00\"\n",
+    "selected_data = ds2.sel(time=selected_time)\n",
+    "selected_data #north"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "19d1867e",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:56:09.029852Z",
+     "start_time": "2023-09-03T12:56:09.022991Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[50.   50.25 50.5  50.75 51.   51.25 51.5  51.75 52.   52.25 52.5  52.75\n",
+      " 53.   53.25 53.5  53.75 54.   54.25 54.5  54.75 55.   55.25 55.5  55.75\n",
+      " 56.   56.25 56.5  56.75 57.   57.25 57.5  57.75]\n",
+      "[-6.    -5.875 -5.75  -5.625 -5.5   -5.375 -5.25  -5.125 -5.    -4.875\n",
+      " -4.75  -4.625 -4.5   -4.375 -4.25  -4.125 -4.    -3.875 -3.75  -3.625\n",
+      " -3.5   -3.375 -3.25  -3.125 -3.    -2.875 -2.75  -2.625 -2.5   -2.375\n",
+      " -2.25  -2.125 -2.    -1.875 -1.75  -1.625 -1.5   -1.375 -1.25  -1.125\n",
+      " -1.    -0.875 -0.75  -0.625 -0.5   -0.375 -0.25  -0.125  0.     0.125\n",
+      "  0.25   0.375  0.5    0.625  0.75   0.875  1.     1.125  1.25   1.375\n",
+      "  1.5    1.625  1.75   1.875]\n",
+      "[[286.25427 286.90836 286.0033  ... 279.5597  278.78085 279.72287]\n",
+      " [286.24817 286.8942  285.9765  ... 279.53497 278.71426 279.658  ]\n",
+      " [286.24606 286.87656 285.9482  ... 279.5249  278.64438 279.60568]\n",
+      " ...\n",
+      " [286.92368 285.96918 286.89618 ... 279.66223 280.00348 279.4202 ]\n",
+      " [286.9237  285.94824 286.8891  ... 279.66003 279.89514 279.41745]\n",
+      " [286.9184  285.92935 286.87503 ... 279.65747 279.80164 279.41452]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 提取所需的信息\n",
+    "selected_latitudes = selected_data[\"latitude\"].values\n",
+    "selected_longitudes = selected_data[\"longitude\"].values\n",
+    "selected_temperatures = selected_data[\"t2m\"].values\n",
+    "\n",
+    "# 打印结果\n",
+    "print(selected_latitudes)\n",
+    "print(selected_longitudes)\n",
+    "print(selected_temperatures)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "7014c84d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:56:10.395872Z",
+     "start_time": "2023-09-03T12:56:10.271977Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def plot_selected_temperatures_3(temperature_data, latitudes, longitudes):\n",
+    "    # 创建一个matplotlib的图和坐标轴，使用PlateCarree投影\n",
+    "    fig, ax = plt.subplots(subplot_kw={'projection': ccrs.PlateCarree()})\n",
+    "    \n",
+    "    # 设置地理范围为英国周边\n",
+    "    ax.set_extent([-10, 3, 49, 60], crs=ccrs.PlateCarree())\n",
+    "    \n",
+    "    # 添加英国的边界\n",
+    "    ax.add_feature(cfeature.BORDERS, linestyle=':')\n",
+    "    \n",
+    "    # 添加海岸线和湖泊\n",
+    "    ax.add_feature(cfeature.COASTLINE)\n",
+    "    ax.add_feature(cfeature.LAKES, edgecolor='black')\n",
+    "    \n",
+    "    # 添加网格线\n",
+    "    ax.gridlines(draw_labels=True)\n",
+    "    \n",
+    "    # 在地图上绘制温度值\n",
+    "    im = plt.pcolormesh(longitudes, latitudes, temperature_data, cmap='coolwarm', transform=ccrs.PlateCarree())\n",
+    "    \n",
+    "    plt.colorbar(im, label='Temperature (C)')\n",
+    "    \n",
+    "    # 显示图像\n",
+    "    plt.show()\n",
+    "\n",
+    "# 使用 selected_data 中的温度值、纬度和经度\n",
+    "temperature_data = selected_data[\"t2m\"].values\n",
+    "latitudes = selected_data[\"latitude\"].values\n",
+    "longitudes = selected_data[\"longitude\"].values\n",
+    "\n",
+    "plot_selected_temperatures_3(temperature_data, latitudes, longitudes)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "7cc239ae",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T10:40:45.166524Z",
+     "start_time": "2023-09-03T10:40:45.156392Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(32,)\n",
+      "(64,)\n",
+      "(32, 64)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 假设你的xarray数据集的时间坐标为 \"time\"，经纬度坐标为 \"lat\" 和 \"lon\"\n",
+    "# 选择特定时间点的数据\n",
+    "selected_time = \"2022-08-15 12:00:00\"\n",
+    "selected_data = ds.sel(time=selected_time)\n",
+    "\n",
+    "# 提取所需的信息\n",
+    "selected_latitudes = selected_data[\"latitude\"].values\n",
+    "selected_longitudes = selected_data[\"longitude\"].values\n",
+    "selected_temperatures = selected_data[\"t2m\"].values\n",
+    "\n",
+    "# 打印结果\n",
+    "print(selected_latitudes.shape)\n",
+    "print(selected_longitudes.shape)\n",
+    "print(selected_temperatures.shape)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9244a7ef",
+   "metadata": {},
+   "source": [
+    "### era5_select_plot_one_day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "81328313",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "5e8fcede",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:56:52.238458Z",
+     "start_time": "2023-09-03T12:56:52.219263Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "  --xr-background-color-row-odd: #313131;\n",
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+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
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+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
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+       "  margin-bottom: 4px;\n",
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+       "}\n",
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+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
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+       "\n",
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+       "  color: var(--xr-font-color2);\n",
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+       "  display: none;\n",
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+       "  color: var(--xr-disabled-color);\n",
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+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
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+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
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+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
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+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
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+       "\n",
+       ".xr-section-summary-in + label:before {\n",
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+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
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+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
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+       "  grid-column: 2 / -1;\n",
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+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
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+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (lat: 32, lon: 64)\n",
+       "Coordinates:\n",
+       "    time     datetime64[ns] 2022-01-01\n",
+       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
+       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
+       "Data variables:\n",
+       "    t        (lat, lon) float32 286.3 286.2 286.0 285.8 ... 276.7 276.7 276.7\n",
+       "Attributes:\n",
+       "    regrid_method:  bilinear\n",
+       "    Conventions:    CF-1.6\n",
+       "    history:        2023-08-26 19:02:51 GMT by grib_to_netcdf-2.25.1: /opt/ec...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6a46377b-05ff-4a43-b4e5-0a8e7c43d7b1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6a46377b-05ff-4a43-b4e5-0a8e7c43d7b1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 32</li><li><span class='xr-has-index'>lon</span>: 64</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-93934004-cfb4-4a63-acbc-2882d4363559' class='xr-section-summary-in' type='checkbox'  checked><label for='section-93934004-cfb4-4a63-acbc-2882d4363559' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01</div><input id='attrs-4e0aa8ac-2ca7-4b8d-a302-cacd5074c65c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e0aa8ac-2ca7-4b8d-a302-cacd5074c65c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a253cff-bb47-4feb-9ce1-f854f0147695' class='xr-var-data-in' type='checkbox'><label for='data-6a253cff-bb47-4feb-9ce1-f854f0147695' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-cd3c61dd-9609-435d-a9ab-408051875a36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd3c61dd-9609-435d-a9ab-408051875a36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcc37e94-ecdf-4ce5-81c3-da02d59bacfa' class='xr-var-data-in' type='checkbox'><label for='data-bcc37e94-ecdf-4ce5-81c3-da02d59bacfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
+       "       -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125, -4.   , -3.875,\n",
+       "       -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125, -3.   , -2.875, -2.75 ,\n",
+       "       -2.625, -2.5  , -2.375, -2.25 , -2.125, -2.   , -1.875, -1.75 , -1.625,\n",
+       "       -1.5  , -1.375, -1.25 , -1.125, -1.   , -0.875, -0.75 , -0.625, -0.5  ,\n",
+       "       -0.375, -0.25 , -0.125,  0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,\n",
+       "        0.75 ,  0.875,  1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,\n",
+       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-01f64f5a-7101-46ea-a181-60743de610cb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-01f64f5a-7101-46ea-a181-60743de610cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65aacfc5-8f1b-4528-a294-64708e9aa562' class='xr-var-data-in' type='checkbox'><label for='data-65aacfc5-8f1b-4528-a294-64708e9aa562' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
+       "       52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25, 54.5 , 54.75,\n",
+       "       55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 , 56.75, 57.  , 57.25,\n",
+       "       57.5 , 57.75])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-679e6487-cbf4-4a0e-ad34-69a1a2ceda39' class='xr-section-summary-in' type='checkbox'  checked><label for='section-679e6487-cbf4-4a0e-ad34-69a1a2ceda39' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>286.3 286.2 286.0 ... 276.7 276.7</div><input id='attrs-b5ea5274-71a9-440d-bc5b-bd3c2eaa85e5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5ea5274-71a9-440d-bc5b-bd3c2eaa85e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-004c08ef-261b-4e8e-b523-2f298155b60f' class='xr-var-data-in' type='checkbox'><label for='data-004c08ef-261b-4e8e-b523-2f298155b60f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[286.3373 , 286.1772 , 286.0171 , ..., 282.1449 , 282.13416, 282.13416],\n",
+       "       [286.34314, 286.18207, 286.021  , ..., 282.29343, 282.2574 , 282.2574 ],\n",
+       "       [286.39423, 286.2232 , 286.0522 , ..., 282.52975, 282.52298, 282.52298],\n",
+       "       ...,\n",
+       "       [277.40567, 277.35794, 277.3101 , ..., 276.81894, 276.7828 , 276.7828 ],\n",
+       "       [277.1888 , 277.20172, 277.21454, ..., 276.7497 , 276.74576, 276.74576],\n",
+       "       [276.89008, 276.93225, 276.9743 , ..., 276.69876, 276.6849 , 276.6849 ]],\n",
+       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53aa9a1e-2c6b-4722-a33c-c0b0d89c2c1f' class='xr-section-summary-in' type='checkbox'  ><label for='section-53aa9a1e-2c6b-4722-a33c-c0b0d89c2c1f' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3cc73714-02d3-40b8-9cc7-b15b3d7648cd' class='xr-index-data-in' type='checkbox'/><label for='index-3cc73714-02d3-40b8-9cc7-b15b3d7648cd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
+       "       -4.875,  -4.75, -4.625,   -4.5, -4.375,  -4.25, -4.125,   -4.0, -3.875,\n",
+       "        -3.75, -3.625,   -3.5, -3.375,  -3.25, -3.125,   -3.0, -2.875,  -2.75,\n",
+       "       -2.625,   -2.5, -2.375,  -2.25, -2.125,   -2.0, -1.875,  -1.75, -1.625,\n",
+       "         -1.5, -1.375,  -1.25, -1.125,   -1.0, -0.875,  -0.75, -0.625,   -0.5,\n",
+       "       -0.375,  -0.25, -0.125,    0.0,  0.125,   0.25,  0.375,    0.5,  0.625,\n",
+       "         0.75,  0.875,    1.0,  1.125,   1.25,  1.375,    1.5,  1.625,   1.75,\n",
+       "        1.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-87cb41dd-d4c2-4806-8621-d9a3801b5af9' class='xr-index-data-in' type='checkbox'/><label for='index-87cb41dd-d4c2-4806-8621-d9a3801b5af9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
+       "        52.5, 52.75,  53.0, 53.25,  53.5, 53.75,  54.0, 54.25,  54.5, 54.75,\n",
+       "        55.0, 55.25,  55.5, 55.75,  56.0, 56.25,  56.5, 56.75,  57.0, 57.25,\n",
+       "        57.5, 57.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8c319f0-c232-45b6-b4bc-078feb72d5ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e8c319f0-c232-45b6-b4bc-078feb72d5ea' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>regrid_method :</span></dt><dd>bilinear</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>2023-08-26 19:02:51 GMT by grib_to_netcdf-2.25.1: /opt/ecmwf/mars-client/bin/grib_to_netcdf.bin -S param -o /cache/data5/adaptor.mars.internal-1693076569.6353679-31590-19-f7952df7-0d58-48ad-916e-e71a1bb24632.nc /cache/tmp/f7952df7-0d58-48ad-916e-e71a1bb24632-adaptor.mars.internal-1693076532.8003507-31590-29-tmp.grib</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (lat: 32, lon: 64)\n",
+       "Coordinates:\n",
+       "    time     datetime64[ns] 2022-01-01\n",
+       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
+       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
+       "Data variables:\n",
+       "    t        (lat, lon) float32 286.3 286.2 286.0 285.8 ... 276.7 276.7 276.7\n",
+       "Attributes:\n",
+       "    regrid_method:  bilinear\n",
+       "    Conventions:    CF-1.6\n",
+       "    history:        2023-08-26 19:02:51 GMT by grib_to_netcdf-2.25.1: /opt/ec..."
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "selected_time = \"2022-01-01 00:00:00\"\n",
+    "selected_data = ds3.sel(time=selected_time)\n",
+    "selected_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "0e95251d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:57:28.702944Z",
+     "start_time": "2023-09-03T12:57:28.696696Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[50.   50.25 50.5  50.75 51.   51.25 51.5  51.75 52.   52.25 52.5  52.75\n",
+      " 53.   53.25 53.5  53.75 54.   54.25 54.5  54.75 55.   55.25 55.5  55.75\n",
+      " 56.   56.25 56.5  56.75 57.   57.25 57.5  57.75]\n",
+      "[-6.    -5.875 -5.75  -5.625 -5.5   -5.375 -5.25  -5.125 -5.    -4.875\n",
+      " -4.75  -4.625 -4.5   -4.375 -4.25  -4.125 -4.    -3.875 -3.75  -3.625\n",
+      " -3.5   -3.375 -3.25  -3.125 -3.    -2.875 -2.75  -2.625 -2.5   -2.375\n",
+      " -2.25  -2.125 -2.    -1.875 -1.75  -1.625 -1.5   -1.375 -1.25  -1.125\n",
+      " -1.    -0.875 -0.75  -0.625 -0.5   -0.375 -0.25  -0.125  0.     0.125\n",
+      "  0.25   0.375  0.5    0.625  0.75   0.875  1.     1.125  1.25   1.375\n",
+      "  1.5    1.625  1.75   1.875]\n",
+      "[[286.3373  286.1772  286.0171  ... 282.1449  282.13416 282.13416]\n",
+      " [286.34314 286.18207 286.021   ... 282.29343 282.2574  282.2574 ]\n",
+      " [286.39423 286.2232  286.0522  ... 282.52975 282.52298 282.52298]\n",
+      " ...\n",
+      " [277.40567 277.35794 277.3101  ... 276.81894 276.7828  276.7828 ]\n",
+      " [277.1888  277.20172 277.21454 ... 276.7497  276.74576 276.74576]\n",
+      " [276.89008 276.93225 276.9743  ... 276.69876 276.6849  276.6849 ]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 提取所需的信息\n",
+    "selected_latitudes = selected_data[\"lat\"].values\n",
+    "selected_longitudes = selected_data[\"lon\"].values\n",
+    "selected_temperatures = selected_data[\"t\"].values\n",
+    "\n",
+    "# 打印结果\n",
+    "print(selected_latitudes)\n",
+    "print(selected_longitudes)\n",
+    "print(selected_temperatures)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "e54d6f1b",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:57:56.984584Z",
+     "start_time": "2023-09-03T12:57:56.836031Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def plot_selected_temperatures_3(temperature_data, latitudes, longitudes):\n",
+    "    # 创建一个matplotlib的图和坐标轴，使用PlateCarree投影\n",
+    "    fig, ax = plt.subplots(subplot_kw={'projection': ccrs.PlateCarree()})\n",
+    "    \n",
+    "    # 设置地理范围为英国周边\n",
+    "    ax.set_extent([-10, 3, 49, 60], crs=ccrs.PlateCarree())\n",
+    "    \n",
+    "    # 添加英国的边界\n",
+    "    ax.add_feature(cfeature.BORDERS, linestyle=':')\n",
+    "    \n",
+    "    # 添加海岸线和湖泊\n",
+    "    ax.add_feature(cfeature.COASTLINE)\n",
+    "    ax.add_feature(cfeature.LAKES, edgecolor='black')\n",
+    "    \n",
+    "    # 添加网格线\n",
+    "    ax.gridlines(draw_labels=True)\n",
+    "    \n",
+    "    # 在地图上绘制温度值\n",
+    "    im = plt.pcolormesh(longitudes, latitudes, temperature_data, cmap='coolwarm', transform=ccrs.PlateCarree())\n",
+    "    \n",
+    "    plt.colorbar(im, label='Temperature (C)')\n",
+    "    \n",
+    "    # 显示图像\n",
+    "    plt.show()\n",
+    "\n",
+    "# 使用 selected_data 中的温度值、纬度和经度\n",
+    "temperature_data = selected_data[\"t\"].values\n",
+    "latitudes = selected_data[\"lat\"].values\n",
+    "longitudes = selected_data[\"lon\"].values\n",
+    "\n",
+    "plot_selected_temperatures_3(temperature_data, latitudes, longitudes)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "2f4c1b26",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T10:40:45.166524Z",
+     "start_time": "2023-09-03T10:40:45.156392Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(32,)\n",
+      "(64,)\n",
+      "(32, 64)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 假设你的xarray数据集的时间坐标为 \"time\"，经纬度坐标为 \"lat\" 和 \"lon\"\n",
+    "# 选择特定时间点的数据\n",
+    "selected_time = \"2022-08-15 12:00:00\"\n",
+    "selected_data = ds.sel(time=selected_time)\n",
+    "\n",
+    "# 提取所需的信息\n",
+    "selected_latitudes = selected_data[\"latitude\"].values\n",
+    "selected_longitudes = selected_data[\"longitude\"].values\n",
+    "selected_temperatures = selected_data[\"t2m\"].values\n",
+    "\n",
+    "# 打印结果\n",
+    "print(selected_latitudes.shape)\n",
+    "print(selected_longitudes.shape)\n",
+    "print(selected_temperatures.shape)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "55adca97",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1b18bfdf-6378-4a36-b831-a7c051740848",
+   "metadata": {},
+   "source": [
+    "### coarse version "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "165174f5-b35f-4692-821d-0d187f34c099",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import geopandas as gpd\n",
+    "\n",
+    "def download_uk_border():\n",
+    "    # 从Natural Earth下载全球国家边界数据\n",
+    "    world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
+    "\n",
+    "    # 提取英国的边界数据\n",
+    "    uk = world[world['name'] == \"United Kingdom\"]\n",
+    "\n",
+    "    # 保存英国的边界到Shapefile\n",
+    "    uk.to_file(\"UK_border.shp\")\n",
+    "\n",
+    "download_uk_border()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "id": "75a8c3c6-86ea-4380-ae2d-b332bff65bbf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 从Shapefile加载英国的边界数据\n",
+    "uk_border = gpd.read_file(\"UK_border.shp\")\n",
+    "\n",
+    "# 绘制并显示边界\n",
+    "uk_border.plot()\n",
+    "plt.title(\"United Kingdom Border\")\n",
+    "plt.xlabel(\"Longitude\")\n",
+    "plt.ylabel(\"Latitude\")\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "f4a18495-3a45-4ebf-aa1c-03dec1e2943f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf = gpd.read_file('UK_border.shp')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "id": "b9df3d43-0b1a-4d85-b6dd-0be8978a616e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>pop_est</th>\n",
+       "      <th>continent</th>\n",
+       "      <th>name</th>\n",
+       "      <th>iso_a3</th>\n",
+       "      <th>gdp_md_est</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>66834405.0</td>\n",
+       "      <td>Europe</td>\n",
+       "      <td>United Kingdom</td>\n",
+       "      <td>GBR</td>\n",
+       "      <td>2829108</td>\n",
+       "      <td>MULTIPOLYGON (((-6.19788 53.86757, -6.95373 54.07370, -7.57217 54.05996, -7.36603 54.59584, -7.57217 55.13162, -6.73385 55.17286, -5.66195 54.55460, -6.19788 53.86757)), ((-3.09383 53.40455, -3.09208 53.40444, -2.94501 53.98500, -3.61470 54.60094, -3.63001 54.61501, -4.84417 54.79097, -5.08253 55.06160, -4.71911 55.50847, -5.04798 55.78399, -5.58640 55.31115, -5.64500 56.27501, -6.14998 56.78501, -5.78682 57.81885, -5.01000 58.63001, -4.21149 58.55085, -3.00500 58.63500, -4.07383 57.55302, -3.05500 57.69002, -1.95928 57.68480, -2.21999 56.87002, -3.11900 55.97379, -2.08501 55.91000, -2.00568 55.80490, -1.11499 54.62499, -0.43048 54.46438, 0.18498 53.32501, 0.46998 52.93000, 1.68153 52.73952, 1.55999 52.10000, 1.05056 51.80676, 1.44987 51.28943, 0.55033 50.76574, -0.78752 50.77499, -2.49000 50.50002, -2.95627 50.69688, -3.61745 50.22836, -4.54251 50.34184, -5.24502 49.96000, -5.77657 50.15968, -4.30999 51.21000, -3.41485 51.42601, -3.42272 51.42685, -4.98437 51.59347, -5.26730 51.99140, -4.22235 52.30136, -4.77001 52.84000, -4.58000 53.49500, -3.09383 53.40455)))</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      pop_est continent            name iso_a3  gdp_md_est  \\\n",
+       "0  66834405.0    Europe  United Kingdom    GBR     2829108   \n",
+       "\n",
+       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 geometry  \n",
+       "0  MULTIPOLYGON (((-6.19788 53.86757, -6.95373 54.07370, -7.57217 54.05996, -7.36603 54.59584, -7.57217 55.13162, -6.73385 55.17286, -5.66195 54.55460, -6.19788 53.86757)), ((-3.09383 53.40455, -3.09208 53.40444, -2.94501 53.98500, -3.61470 54.60094, -3.63001 54.61501, -4.84417 54.79097, -5.08253 55.06160, -4.71911 55.50847, -5.04798 55.78399, -5.58640 55.31115, -5.64500 56.27501, -6.14998 56.78501, -5.78682 57.81885, -5.01000 58.63001, -4.21149 58.55085, -3.00500 58.63500, -4.07383 57.55302, -3.05500 57.69002, -1.95928 57.68480, -2.21999 56.87002, -3.11900 55.97379, -2.08501 55.91000, -2.00568 55.80490, -1.11499 54.62499, -0.43048 54.46438, 0.18498 53.32501, 0.46998 52.93000, 1.68153 52.73952, 1.55999 52.10000, 1.05056 51.80676, 1.44987 51.28943, 0.55033 50.76574, -0.78752 50.77499, -2.49000 50.50002, -2.95627 50.69688, -3.61745 50.22836, -4.54251 50.34184, -5.24502 49.96000, -5.77657 50.15968, -4.30999 51.21000, -3.41485 51.42601, -3.42272 51.42685, -4.98437 51.59347, -5.26730 51.99140, -4.22235 52.30136, -4.77001 52.84000, -4.58000 53.49500, -3.09383 53.40455)))  "
+      ]
+     },
+     "execution_count": 127,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gdf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "edc54528-a373-4097-89ff-869a3e69f7b1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "29e92d27-4a00-44cf-90f3-34f8cd644797",
+   "metadata": {
+    "heading_collapsed": true
+   },
+   "source": [
+    "## Regrid"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c995edb0-367f-4e61-b1cc-e99c4b3abbf3",
+   "metadata": {
+    "hidden": true
+   },
+   "source": [
+    "### test1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "id": "75f23541-1a8e-47fe-9b47-5e73414598e7",
+   "metadata": {
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "gridx = np.linspace(-6.0, 1.875, 64)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "id": "d3a451ee-d81c-4c53-943c-1b304e7dd03a",
+   "metadata": {
+    "hidden": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125,\n",
+       "       -5.   , -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125,\n",
+       "       -4.   , -3.875, -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125,\n",
+       "       -3.   , -2.875, -2.75 , -2.625, -2.5  , -2.375, -2.25 , -2.125,\n",
+       "       -2.   , -1.875, -1.75 , -1.625, -1.5  , -1.375, -1.25 , -1.125,\n",
+       "       -1.   , -0.875, -0.75 , -0.625, -0.5  , -0.375, -0.25 , -0.125,\n",
+       "        0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,  0.75 ,  0.875,\n",
+       "        1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,  1.875])"
+      ]
+     },
+     "execution_count": 130,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gridx"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "id": "855d5a9c-2396-4ef2-bc89-916652602a77",
+   "metadata": {
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "gridy = np.linspace(50.0, 57.75, 32) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 134,
+   "id": "ffb835bd-f853-4bce-95a5-fe1cd5c70338",
+   "metadata": {
+    "hidden": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  ,\n",
+       "       52.25, 52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25,\n",
+       "       54.5 , 54.75, 55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 ,\n",
+       "       56.75, 57.  , 57.25, 57.5 , 57.75])"
+      ]
+     },
+     "execution_count": 134,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gridy"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f6ed8c4e-fbea-4a6f-8350-8d5f135c9e66",
+   "metadata": {
+    "hidden": true
+   },
+   "source": [
+    "### test2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c7de92eb-f135-4e95-a520-a5520b4a1229",
+   "metadata": {
+    "hidden": true
+   },
+   "source": [
+    "#### basic import"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ebc6b815-58a9-4253-beeb-26c5742bccb5",
+   "metadata": {
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "import gstools as gs\n",
+    "import geopandas as gpd\n",
+    "import matplotlib.pyplot as plt\n",
+    "from utils import folder_utils\n",
+    "from tqdm import tqdm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "93a788ff-48a8-42e5-8561-d3511aea8a4e",
+   "metadata": {
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "def filter_data(df):\n",
+    "    \"\"\"\n",
+    "    Filter data by deleting rows with missing values and wrong values\n",
+    "    \"\"\"\n",
+    "    # Delete rows with missing values\n",
+    "    df = df.dropna()\n",
+    "    # Delete rows with wrong values\n",
+    "    df[\"time\"] = pd.to_datetime(df[\"time\"])  # Convert to datetime\n",
+    "    # If the time is not a whole hour, delete the row\n",
+    "    is_whole_hour = (df[\"time\"].dt.minute == 0) & (df[\"time\"].dt.second == 0)\n",
+    "    not_null = df[\"time\"].notnull()\n",
+    "    latitude_condition = (df[\"latitude\"] >= 50) & (df[\"latitude\"] <= 58)\n",
+    "    longitude_condition = (df[\"longitude\"] >= -6) & (df[\"longitude\"] <= 2)\n",
+    "    # Combine all conditions\n",
+    "    combined_condition = (\n",
+    "        is_whole_hour & not_null & latitude_condition & longitude_condition\n",
+    "    )\n",
+    "\n",
+    "    filtered_df = df[combined_condition]\n",
+    "\n",
+    "    return filtered_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "id": "a256c2be-e0c2-4644-9855-269b7937c7f5",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T11:48:42.817930Z",
+     "start_time": "2023-09-03T11:48:42.803223Z"
+    },
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "def krige_regrid_poly(\n",
+    "    year_df_path, year, country, data_folder, data_category, output_folder\n",
+    "):\n",
+    "    # 1. Load the data\n",
+    "    df = pd.read_csv(year_df_path)\n",
+    "    df = filter_data(df)\n",
+    "    # lat = df[\"latitude\"].values\n",
+    "    # lon = df[\"longitude\"].values\n",
+    "\n",
+    "    # 2. Create a new dataframe to store the interpolated data\n",
+    "    output_df = pd.DataFrame()\n",
+    "\n",
+    "    # 3.Define the grid\n",
+    "    g_lon = np.linspace(-6.0, 1.875, 64)  # longitude\n",
+    "    g_lat = np.linspace(50.0, 57.75, 32)  # latitude\n",
+    "    # gridx, gridy = np.meshgrid(gridx, gridy)\n",
+    "\n",
+    "    # 4. Drift term\n",
+    "    def north_south_drift(lat, lon):\n",
+    "        return lat\n",
+    "    \n",
+    "        # 4. Drift term\n",
+    "    def polynomial_drift(lat, lon):\n",
+    "        return [1, lat, lon, lat**2, lon**2, lat*lon]\n",
+    "    \n",
+    "        # 4. Drift terms\n",
+    "    def drift_1(lat, lon):\n",
+    "        return 1\n",
+    "\n",
+    "    def drift_lat(lat, lon):\n",
+    "        return lat\n",
+    "\n",
+    "    def drift_lon(lat, lon):\n",
+    "        return lon\n",
+    "\n",
+    "    def drift_lat2(lat, lon):\n",
+    "        return lat**2\n",
+    "\n",
+    "    def drift_lon2(lat, lon):\n",
+    "        return lon**2\n",
+    "\n",
+    "    def drift_lat_lon(lat, lon):\n",
+    "        return lat*lon\n",
+    "\n",
+    "    drift_functions = [drift_1, drift_lat, drift_lon, drift_lat2, drift_lon2, drift_lat_lon]\n",
+    "\n",
+    "    unique_times = df[\"time\"].unique()\n",
+    "\n",
+    "    # Iterate over each time\n",
+    "    for time_point in tqdm(unique_times):\n",
+    "        # 1. Load data for the specific time point\n",
+    "        time_df = df[df[\"time\"] == time_point]\n",
+    "        t2m = time_df[\"t2m\"].values\n",
+    "        lat = time_df[\"latitude\"].values\n",
+    "        lon = time_df[\"longitude\"].values\n",
+    "\n",
+    "        # 2. Estimate the variogram\n",
+    "        bin_center, vario = gs.vario_estimate(\n",
+    "            (lat, lon), t2m, latlon=True, geo_scale=gs.KM_SCALE, max_dist=900\n",
+    "        )\n",
+    "\n",
+    "        # 3. krige interpolation\n",
+    "        model = gs.Spherical(latlon=True, geo_scale=gs.KM_SCALE)\n",
+    "        model.fit_variogram(bin_center, vario, nugget=False)\n",
+    "\n",
+    "        # 5. Universal Kriging\n",
+    "\n",
+    "        uk = gs.krige.Universal(\n",
+    "            model=model,\n",
+    "            cond_pos=(lat, lon),\n",
+    "            cond_val=t2m,\n",
+    "            drift_functions=drift_functions,\n",
+    "        )\n",
+    "\n",
+    "        uk.set_pos((g_lat, g_lon), mesh_type=\"structured\")\n",
+    "        interpolated_values = uk(return_var=False)\n",
+    "\n",
+    "        temp_df = pd.DataFrame(\n",
+    "            {\n",
+    "                \"lat\": np.tile(g_lat, len(g_lon)),\n",
+    "                \"lon\": np.repeat(g_lon, len(g_lat)),\n",
+    "                \"time\": [time_point] * len(g_lat) * len(g_lon),\n",
+    "                \"t2m\": interpolated_values.ravel(),\n",
+    "            }\n",
+    "        )\n",
+    "\n",
+    "        output_df = pd.concat([output_df, temp_df], ignore_index=True)\n",
+    "\n",
+    "    # Save to csv file\n",
+    "    output_directory = folder_utils.find_folder(\n",
+    "        country, data_folder, data_category, output_folder\n",
+    "    )\n",
+    "    output_filename = f\"{country}_ASOS_krige_{year}.csv\"\n",
+    "    output_path = os.path.join(output_directory, output_filename)\n",
+    "    output_df.to_csv(output_path, index=False)\n",
+    "\n",
+    "    # return output_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "id": "c0edbc91-4c3d-4132-bd39-14d376973256",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T11:43:01.983960Z",
+     "start_time": "2023-09-03T11:43:01.974325Z"
+    },
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "def get_year(start_year, end_year):\n",
+    "    # start_year = 1979\n",
+    "    # end_year = 2023\n",
+    "    year_list = list(range(start_year, end_year + 1))\n",
+    "\n",
+    "    # Convert the integer list to a string list\n",
+    "    year_str_list = [str(year) for year in year_list]\n",
+    "\n",
+    "    return year_str_list\n",
+    "\n",
+    "\n",
+    "def get_year_from_filename(filename):\n",
+    "    # extract year from filename\n",
+    "    # filename = \"GB_merged_ASOS_1979.csv\"\n",
+    "    parts = filename.split(\"_\")\n",
+    "    return parts[3]\n",
+    "\n",
+    "\n",
+    "def get_asos_year_file_list(country, data_folder, data_category, output_folder):\n",
+    "    input_folder_path = folder_utils.find_folder(\n",
+    "        country, data_folder, data_category, output_folder\n",
+    "    )\n",
+    "    csv_files = [\n",
+    "        f\n",
+    "        for f in os.listdir(input_folder_path)\n",
+    "        if f.endswith(\".csv\") and \"_merged_ASOS_\" in f\n",
+    "    ]\n",
+    "\n",
+    "    # sort by year\n",
+    "    csv_files.sort(key=lambda x: get_year_from_filename(x))\n",
+    "\n",
+    "    return [\n",
+    "        os.path.join(input_folder_path, csv_file) for csv_file in csv_files\n",
+    "    ]  # return the full path\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2d0bc66d-c821-4447-971e-cdbfb99c7dd3",
+   "metadata": {
+    "hidden": true
+   },
+   "source": [
+    "#### example"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "id": "49ccf40e-5234-4662-bc1b-0662f3aae2e4",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T11:43:04.660446Z",
+     "start_time": "2023-09-03T11:43:04.656840Z"
+    },
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "# Example usage\n",
+    "country = \"GB\"\n",
+    "data_folder = \"data\"\n",
+    "data_read_category = \"raw_data\"\n",
+    "data_test_category = \"test_data\"\n",
+    "data_save_category = \"processed_data\"\n",
+    "output_folder = \"ASOS_DATA\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "id": "254754fb-fa14-43d2-bde1-fb944fdf6fb5",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T11:43:15.573131Z",
+     "start_time": "2023-09-03T11:43:15.568299Z"
+    },
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "year_list = get_year(start_year=2022, end_year=2022)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "id": "9b8f4348-a170-4b83-ab49-6b5335e00d7e",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T11:43:17.130195Z",
+     "start_time": "2023-09-03T11:43:17.122971Z"
+    },
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "csv_paths = get_asos_year_file_list(\n",
+    "    country, data_folder, data_save_category, output_folder\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "id": "6c1c14c5-d014-48a9-b828-1f8a70529938",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T11:43:17.625151Z",
+     "start_time": "2023-09-03T11:43:17.616990Z"
+    },
+    "hidden": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1979.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1980.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1981.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1982.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1983.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1984.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1985.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1986.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1987.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1988.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1989.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1990.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1991.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1992.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1993.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1994.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1995.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1996.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1997.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1998.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_1999.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2000.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2001.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2002.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2003.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2004.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2005.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2006.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2007.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2008.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2009.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2010.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2011.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2012.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2013.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2014.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2015.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2016.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2017.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2018.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2019.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2020.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2021.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2022.csv',\n",
+       " '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2023.csv']"
+      ]
+     },
+     "execution_count": 159,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "csv_paths"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f02a98a0-f638-4acc-a245-5aa666da0352",
+   "metadata": {
+    "hidden": true,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "0it [00:00, ?it/s]C:\\Users\\WWQ\\AppData\\Local\\Temp\\ipykernel_33960\\2172439685.py:8: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  df[\"time\"] = pd.to_datetime(df[\"time\"])  # Convert to datetime\n",
+      "\n",
       "  0%|                                                                                         | 0/8760 [00:00<?, ?it/s]\u001b[A\n",
       "  0%|                                                                                 | 1/8760 [00:00<17:50,  8.19it/s]\u001b[A\n",
       "  0%|                                                                                 | 3/8760 [00:00<10:31, 13.87it/s]\u001b[A\n",
@@ -39742,406 +43934,2443 @@
     }
    ],
    "source": [
-    "for year, csv_path in tqdm(zip(year_list, csv_paths)):\n",
-    "    krige_regrid(csv_path, year, country, data_folder, data_save_category, output_folder)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "384af349-d1e9-4c42-bef6-722d4fc263f6",
-   "metadata": {
-    "hidden": true,
-    "jp-MarkdownHeadingCollapsed": true
-   },
-   "source": [
-    "#### e2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 144,
-   "id": "5e9c4be8-bd4b-4c75-ae48-9431aa76aa94",
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
-   "source": [
-    "test_path =csv_paths[0]"
+    "for year, csv_path in tqdm(zip(year_list, csv_paths)):\n",
+    "    krige_regrid(csv_path, year, country, data_folder, data_save_category, output_folder)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "384af349-d1e9-4c42-bef6-722d4fc263f6",
+   "metadata": {
+    "hidden": true,
+    "jp-MarkdownHeadingCollapsed": true
+   },
+   "source": [
+    "#### e2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "id": "5e9c4be8-bd4b-4c75-ae48-9431aa76aa94",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T11:43:46.995614Z",
+     "start_time": "2023-09-03T11:43:46.987841Z"
+    },
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "test_path =csv_paths[-2]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "id": "48c65d8f",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T11:43:55.136750Z",
+     "start_time": "2023-09-03T11:43:55.131396Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_merged_ASOS_2022.csv'"
+      ]
+     },
+     "execution_count": 162,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 166,
+   "id": "2c2c39c9-eb38-44fe-8e62-53243d2f788b",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:14:06.819843Z",
+     "start_time": "2023-09-03T11:48:48.361517Z"
+    },
+    "hidden": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/tt/fs_l1by51m30s907pzxq6gf40000gp/T/ipykernel_5065/2172439685.py:8: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  df[\"time\"] = pd.to_datetime(df[\"time\"])  # Convert to datetime\n",
+      "100%|███████████████████████████████████████| 8760/8760 [24:26<00:00,  5.97it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "krige_regrid_poly(test_path, 2022, country, data_folder, data_save_category, output_folder)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "id": "bbcb034f-1b7f-4bd3-a8e1-97ea59268f99",
+   "metadata": {
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "def krige_regrid(\n",
+    "    year_df_path, year, country, data_folder, data_category, output_folder\n",
+    "):\n",
+    "    # 1. Load the data\n",
+    "    df = pd.read_csv(year_df_path)\n",
+    "    df = filter_data(df)\n",
+    "    # lat = df[\"latitude\"].values\n",
+    "    # lon = df[\"longitude\"].values\n",
+    "\n",
+    "    # 2. Create a new dataframe to store the interpolated data\n",
+    "    output_df = pd.DataFrame()\n",
+    "\n",
+    "    # 3.Define the grid\n",
+    "    g_lon = np.linspace(-6.0, 1.875, 64)  # longitude\n",
+    "    g_lat = np.linspace(50.0, 57.75, 32)  # latitude\n",
+    "    # gridx, gridy = np.meshgrid(gridx, gridy)\n",
+    "\n",
+    "    # 4. Drift term\n",
+    "    def north_south_drift(lat, lon):\n",
+    "        return lat\n",
+    "\n",
+    "    unique_times = df[\"time\"].unique()\n",
+    "\n",
+    "    # Iterate over each time\n",
+    "    for time_point in tqdm(unique_times):\n",
+    "        # 1. Load data for the specific time point\n",
+    "        time_df = df[df[\"time\"] == time_point]\n",
+    "        t2m = time_df[\"t2m\"].values\n",
+    "        lat = time_df[\"latitude\"].values\n",
+    "        lon = time_df[\"longitude\"].values\n",
+    "\n",
+    "        # 2. Estimate the variogram\n",
+    "        bin_center, vario = gs.vario_estimate(\n",
+    "            (lat, lon), t2m, latlon=True, geo_scale=gs.KM_SCALE, max_dist=900\n",
+    "        )\n",
+    "\n",
+    "        # 3. krige interpolation\n",
+    "        model = gs.Spherical(latlon=True, geo_scale=gs.KM_SCALE)\n",
+    "        model.fit_variogram(bin_center, vario, nugget=False)\n",
+    "\n",
+    "        # 5. Universal Kriging\n",
+    "\n",
+    "        uk = gs.krige.Universal(\n",
+    "            model=model,\n",
+    "            cond_pos=(lat, lon),\n",
+    "            cond_val=t2m,\n",
+    "            drift_functions=north_south_drift,\n",
+    "        )\n",
+    "\n",
+    "        uk.set_pos((g_lat, g_lon), mesh_type=\"structured\")\n",
+    "        interpolated_values = uk(return_var=False)\n",
+    "\n",
+    "        temp_df = pd.DataFrame(\n",
+    "            {\n",
+    "                \"lat\": np.tile(g_lat, len(g_lon)),\n",
+    "                \"lon\": np.repeat(g_lon, len(g_lat)),\n",
+    "                \"time\": [time_point] * len(g_lat) * len(g_lon),\n",
+    "                \"t2m\": interpolated_values.ravel(),\n",
+    "            }\n",
+    "        )\n",
+    "\n",
+    "        output_df = pd.concat([output_df, temp_df], ignore_index=True)\n",
+    "\n",
+    "    # Save to csv file\n",
+    "    output_directory = folder_utils.find_folder(\n",
+    "        country, data_folder, data_category, output_folder\n",
+    "    )\n",
+    "    output_filename = f\"{country}_ASOS_krige_{year}.csv\"\n",
+    "    output_path = os.path.join(output_directory, output_filename)\n",
+    "    output_df.to_csv(output_path, index=False)\n",
+    "\n",
+    "    # return output_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "6f7c4694-27fd-4fc6-8059-20710c2dd8b3",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-02T14:48:25.828067Z",
+     "start_time": "2023-09-02T14:48:25.820223Z"
+    },
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "def csv_to_nc4(\n",
+    "    merged_csv_path, year, country, data_folder, data_category, output_folder\n",
+    "):\n",
+    "    \"\"\"\n",
+    "    Convert csv files to nc4 files by year\n",
+    "    \"\"\"\n",
+    "    # Read csv files\n",
+    "    df = pd.read_csv(merged_csv_path)\n",
+    "\n",
+    "    # Filter data\n",
+    "    df = filter_data(df)\n",
+    "\n",
+    "    ds_in = xr.Dataset.from_dataframe(df.set_index([\"latitude\", \"longitude\", \"time\"]))\n",
+    "    ds_in = ds_in.sel(latitude=slice(50, 58), longitude=slice(-6, 2))\n",
+    "    ds_adjusted = ds_in.transpose(\"time\", \"latitude\", \"longitude\")\n",
+    "    ds_adjusted[\"t2m\"] = ds_adjusted[\"t2m\"].astype(\"float32\")\n",
+    "\n",
+    "    # ddeg_out_lat = 0.25\n",
+    "    # ddeg_out_lon = 0.125\n",
+    "    # regridded_ds = regrid(\n",
+    "    #     ds_in, ddeg_out_lat, ddeg_out_lon, method=\"bilinear\", reuse_weights=False\n",
+    "    # )\n",
+    "\n",
+    "    # Save to nc4 file\n",
+    "\n",
+    "    output_directory = folder_utils.find_folder(\n",
+    "        country, data_folder, data_category, output_folder\n",
+    "    )\n",
+    "    output_filename = f\"{country}_ASOS_filter_{year}.nc\"\n",
+    "    output_path = os.path.join(output_directory, output_filename)\n",
+    "    ds_adjusted.to_netcdf(output_path)\n",
+    "    print(f\"{output_filename} done!\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "952295b1",
+   "metadata": {
+    "heading_collapsed": true
+   },
+   "source": [
+    "## 2022 ASOS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "d9100380",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:39:33.353371Z",
+     "start_time": "2023-09-03T12:39:28.970040Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "df2 = pd.read_csv(\"/Users/ww721/JupyterNotebookPath/GB_ASOS_krige_2022.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "e2a34bca",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:39:39.488639Z",
+     "start_time": "2023-09-03T12:39:33.987614Z"
+    },
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\"/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_ASOS_krige_2022.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "809ee019",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:39:39.510300Z",
+     "start_time": "2023-09-03T12:39:39.510294Z"
+    },
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 194,
+   "id": "dfb7fc6e",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:20:15.418738Z",
+     "start_time": "2023-09-03T12:20:14.925613Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "313.6142070830105"
+      ]
+     },
+     "execution_count": 194,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "max(df2['t2m'].values)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "f26163de",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:39:51.738379Z",
+     "start_time": "2023-09-03T12:39:51.240854Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "313.6225632296596"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "max(df['t2m'].values)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "b3fc46ce",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:40:01.016829Z",
+     "start_time": "2023-09-03T12:39:57.701589Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "ds_in_2 = xr.Dataset.from_dataframe(df2.set_index([\"lat\", \"lon\", \"time\"]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "31c6b43a",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:40:04.773316Z",
+     "start_time": "2023-09-03T12:40:01.440515Z"
+    },
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "ds_in = xr.Dataset.from_dataframe(df.set_index([\"lat\", \"lon\", \"time\"]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "f28180b3",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:40:06.822099Z",
+     "start_time": "2023-09-03T12:40:06.745677Z"
+    },
+    "hidden": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (lat: 32, lon: 64, time: 8760)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
+       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
+       "  * time     (time) object &#x27;2022-01-01 00:00:00&#x27; ... &#x27;2022-12-31 23:00:00&#x27;\n",
+       "Data variables:\n",
+       "    t2m      (lat, lon, time) float64 285.8 285.7 285.7 ... 279.2 281.9 281.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6506fb8e-6a48-4684-82e8-902c861c2e49' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6506fb8e-6a48-4684-82e8-902c861c2e49' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 32</li><li><span class='xr-has-index'>lon</span>: 64</li><li><span class='xr-has-index'>time</span>: 8760</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9f3c4b4f-2252-456d-b2b8-7e6174796ce4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9f3c4b4f-2252-456d-b2b8-7e6174796ce4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-1eece3a9-3c13-4c2b-b65c-b27e17025323' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1eece3a9-3c13-4c2b-b65c-b27e17025323' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a082c865-fc7d-4e42-b2cf-c97323926da9' class='xr-var-data-in' type='checkbox'><label for='data-a082c865-fc7d-4e42-b2cf-c97323926da9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
+       "       52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25, 54.5 , 54.75,\n",
+       "       55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 , 56.75, 57.  , 57.25,\n",
+       "       57.5 , 57.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-c304d9ed-7564-4018-88f4-27d9e40f12e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c304d9ed-7564-4018-88f4-27d9e40f12e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf9cc6a2-85fe-4b75-a472-4c51f1e888f2' class='xr-var-data-in' type='checkbox'><label for='data-cf9cc6a2-85fe-4b75-a472-4c51f1e888f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
+       "       -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125, -4.   , -3.875,\n",
+       "       -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125, -3.   , -2.875, -2.75 ,\n",
+       "       -2.625, -2.5  , -2.375, -2.25 , -2.125, -2.   , -1.875, -1.75 , -1.625,\n",
+       "       -1.5  , -1.375, -1.25 , -1.125, -1.   , -0.875, -0.75 , -0.625, -0.5  ,\n",
+       "       -0.375, -0.25 , -0.125,  0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,\n",
+       "        0.75 ,  0.875,  1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,\n",
+       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2022-01-01 00:00:00&#x27; ... &#x27;2022-...</div><input id='attrs-ea2a48cf-f740-4121-bda3-602a9b85ef53' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ea2a48cf-f740-4121-bda3-602a9b85ef53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7c9deb1-b123-45b8-9f4a-cabb5f9c39a2' class='xr-var-data-in' type='checkbox'><label for='data-e7c9deb1-b123-45b8-9f4a-cabb5f9c39a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;, &#x27;2022-01-01 02:00:00&#x27;,\n",
+       "       ..., &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 22:00:00&#x27;,\n",
+       "       &#x27;2022-12-31 23:00:00&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d785986c-204b-41e3-84b6-54ac008e1420' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d785986c-204b-41e3-84b6-54ac008e1420' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(lat, lon, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>285.8 285.7 285.7 ... 281.9 281.4</div><input id='attrs-662677ed-587e-448b-ada7-0eecc20fb7e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-662677ed-587e-448b-ada7-0eecc20fb7e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dc15121-6ed4-41c4-80df-5698b9a78bea' class='xr-var-data-in' type='checkbox'><label for='data-1dc15121-6ed4-41c4-80df-5698b9a78bea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[285.76485915, 285.69624871, 285.74864972, ..., 283.15780911,\n",
+       "         284.58704406, 284.62153417],\n",
+       "        [286.75387428, 286.36061862, 286.51827848, ..., 285.10652221,\n",
+       "         284.71268145, 284.76784501],\n",
+       "        [285.62246563, 285.45235001, 285.5175207 , ..., 282.8078045 ,\n",
+       "         284.26065963, 284.26549782],\n",
+       "        ...,\n",
+       "        [279.38366979, 282.22736737, 282.20870225, ..., 275.15399671,\n",
+       "         275.41254845, 275.83782923],\n",
+       "        [277.57000509, 277.25672832, 277.42487642, ..., 274.02529401,\n",
+       "         273.6679069 , 273.41733373],\n",
+       "        [279.38773415, 282.10556219, 282.07623722, ..., 275.62927468,\n",
+       "         276.02400162, 276.06757031]],\n",
+       "\n",
+       "       [[285.83807166, 285.78931062, 285.82991018, ..., 283.15768786,\n",
+       "         284.5239518 , 284.55697341],\n",
+       "        [286.72784639, 286.3362312 , 286.50893303, ..., 285.19858548,\n",
+       "         284.75418447, 284.80755495],\n",
+       "        [285.66939326, 285.52438338, 285.57705616, ..., 282.76284476,\n",
+       "         284.18504516, 284.18906367],\n",
+       "...\n",
+       "        [277.36158022, 280.35801335, 281.00998631, ..., 279.29184117,\n",
+       "         281.80096778, 281.34728328],\n",
+       "        [279.63461611, 282.1268727 , 282.0979713 , ..., 275.73627984,\n",
+       "         276.0339064 , 275.96645273],\n",
+       "        [276.90319806, 280.14903595, 280.79067536, ..., 279.03169894,\n",
+       "         281.68114877, 281.20265116]],\n",
+       "\n",
+       "       [[286.77519999, 286.3835751 , 286.52713807, ..., 285.00963234,\n",
+       "         284.67219995, 284.73030822],\n",
+       "        [284.42480921, 283.46160621, 284.89959632, ..., 287.89920301,\n",
+       "         287.83095595, 287.77243873],\n",
+       "        [286.81415331, 286.30591543, 286.43096957, ..., 284.97776727,\n",
+       "         284.5457213 , 284.52139098],\n",
+       "        ...,\n",
+       "        [277.24985445, 280.22930884, 280.92940307, ..., 279.46418631,\n",
+       "         282.06450029, 281.57775423],\n",
+       "        [279.50485327, 282.1170321 , 282.08763704, ..., 275.67002481,\n",
+       "         276.01487805, 276.00927089],\n",
+       "        [276.78923937, 280.02232584, 280.71032977, ..., 279.19928947,\n",
+       "         281.94233259, 281.43276699]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-acf78c49-9e4a-4941-9c63-36dcdf9e19c8' class='xr-section-summary-in' type='checkbox'  ><label for='section-acf78c49-9e4a-4941-9c63-36dcdf9e19c8' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3b155ff2-1ca7-4476-b0fa-843c1f689044' class='xr-index-data-in' type='checkbox'/><label for='index-3b155ff2-1ca7-4476-b0fa-843c1f689044' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
+       "        52.5, 52.75,  53.0, 53.25,  53.5, 53.75,  54.0, 54.25,  54.5, 54.75,\n",
+       "        55.0, 55.25,  55.5, 55.75,  56.0, 56.25,  56.5, 56.75,  57.0, 57.25,\n",
+       "        57.5, 57.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b5ec42a7-0023-4673-a278-7dccf5123403' class='xr-index-data-in' type='checkbox'/><label for='index-b5ec42a7-0023-4673-a278-7dccf5123403' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
+       "       -4.875,  -4.75, -4.625,   -4.5, -4.375,  -4.25, -4.125,   -4.0, -3.875,\n",
+       "        -3.75, -3.625,   -3.5, -3.375,  -3.25, -3.125,   -3.0, -2.875,  -2.75,\n",
+       "       -2.625,   -2.5, -2.375,  -2.25, -2.125,   -2.0, -1.875,  -1.75, -1.625,\n",
+       "         -1.5, -1.375,  -1.25, -1.125,   -1.0, -0.875,  -0.75, -0.625,   -0.5,\n",
+       "       -0.375,  -0.25, -0.125,    0.0,  0.125,   0.25,  0.375,    0.5,  0.625,\n",
+       "         0.75,  0.875,    1.0,  1.125,   1.25,  1.375,    1.5,  1.625,   1.75,\n",
+       "        1.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-51062a16-ebb9-4ede-a99c-8844feb117fc' class='xr-index-data-in' type='checkbox'/><label for='index-51062a16-ebb9-4ede-a99c-8844feb117fc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;, &#x27;2022-01-01 02:00:00&#x27;,\n",
+       "       &#x27;2022-01-01 03:00:00&#x27;, &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,\n",
+       "       &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;, &#x27;2022-01-01 08:00:00&#x27;,\n",
+       "       &#x27;2022-01-01 09:00:00&#x27;,\n",
+       "       ...\n",
+       "       &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;, &#x27;2022-12-31 16:00:00&#x27;,\n",
+       "       &#x27;2022-12-31 17:00:00&#x27;, &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,\n",
+       "       &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 22:00:00&#x27;,\n",
+       "       &#x27;2022-12-31 23:00:00&#x27;],\n",
+       "      dtype=&#x27;object&#x27;, name=&#x27;time&#x27;, length=8760))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f6c01b4e-712a-4907-95e7-a3ef999465d3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f6c01b4e-712a-4907-95e7-a3ef999465d3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (lat: 32, lon: 64, time: 8760)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
+       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
+       "  * time     (time) object '2022-01-01 00:00:00' ... '2022-12-31 23:00:00'\n",
+       "Data variables:\n",
+       "    t2m      (lat, lon, time) float64 285.8 285.7 285.7 ... 279.2 281.9 281.4"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_in"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "1040aff5",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:40:13.658132Z",
+     "start_time": "2023-09-03T12:40:13.638946Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "ds_in[\"time\"] = pd.to_datetime(ds_in[\"time\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "581b1e76",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:40:19.308588Z",
+     "start_time": "2023-09-03T12:40:19.298798Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "ds_in_2[\"time\"] = pd.to_datetime(ds_in[\"time\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "100d4c81",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:40:20.186402Z",
+     "start_time": "2023-09-03T12:40:20.160565Z"
+    }
+   },
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'ds' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[13], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mds\u001b[49m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'ds' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "8557f634",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:40:24.914299Z",
+     "start_time": "2023-09-03T12:40:24.891387Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
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+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (lat: 32, lon: 64, time: 8760)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
+       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
+       "  * time     (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
+       "Data variables:\n",
+       "    t2m      (lat, lon, time) float64 285.8 285.7 285.7 ... 279.2 281.9 281.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7d6fbbe2-f5aa-41e5-8318-8b7a764c8c60' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7d6fbbe2-f5aa-41e5-8318-8b7a764c8c60' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 32</li><li><span class='xr-has-index'>lon</span>: 64</li><li><span class='xr-has-index'>time</span>: 8760</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b3a81df2-5be8-480d-b1fc-ff753950dca6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b3a81df2-5be8-480d-b1fc-ff753950dca6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-f9ba5d21-a709-4e0d-83c6-f9fedaa4eed8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f9ba5d21-a709-4e0d-83c6-f9fedaa4eed8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38569a87-16db-4d13-a55d-d193bebd2c6c' class='xr-var-data-in' type='checkbox'><label for='data-38569a87-16db-4d13-a55d-d193bebd2c6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
+       "       52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25, 54.5 , 54.75,\n",
+       "       55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 , 56.75, 57.  , 57.25,\n",
+       "       57.5 , 57.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-f2fe25e5-e215-4cd5-9ca9-8a2e9912575d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f2fe25e5-e215-4cd5-9ca9-8a2e9912575d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-336ae870-5ec0-4fd2-878c-d0eb22881ab3' class='xr-var-data-in' type='checkbox'><label for='data-336ae870-5ec0-4fd2-878c-d0eb22881ab3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
+       "       -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125, -4.   , -3.875,\n",
+       "       -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125, -3.   , -2.875, -2.75 ,\n",
+       "       -2.625, -2.5  , -2.375, -2.25 , -2.125, -2.   , -1.875, -1.75 , -1.625,\n",
+       "       -1.5  , -1.375, -1.25 , -1.125, -1.   , -0.875, -0.75 , -0.625, -0.5  ,\n",
+       "       -0.375, -0.25 , -0.125,  0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,\n",
+       "        0.75 ,  0.875,  1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,\n",
+       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:00:00</div><input id='attrs-489ad209-ff8b-483f-bfeb-9cd10adf6fe3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-489ad209-ff8b-483f-bfeb-9cd10adf6fe3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ba1c617-3613-4815-8ba5-6b956cba9139' class='xr-var-data-in' type='checkbox'><label for='data-1ba1c617-3613-4815-8ba5-6b956cba9139' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-01-01T02:00:00.000000000&#x27;, ..., &#x27;2022-12-31T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-12-31T22:00:00.000000000&#x27;, &#x27;2022-12-31T23:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee17b638-faf2-4643-9b95-0d224326ccdb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee17b638-faf2-4643-9b95-0d224326ccdb' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(lat, lon, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>285.8 285.7 285.7 ... 281.9 281.4</div><input id='attrs-abcc6892-523d-4e25-a24c-a78ca1582b29' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-abcc6892-523d-4e25-a24c-a78ca1582b29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f5d6b36-0718-46e8-ab01-630336c6b787' class='xr-var-data-in' type='checkbox'><label for='data-2f5d6b36-0718-46e8-ab01-630336c6b787' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[285.76485915, 285.69624871, 285.74864972, ..., 283.15780911,\n",
+       "         284.58704406, 284.62153417],\n",
+       "        [286.75387428, 286.36061862, 286.51827848, ..., 285.10652221,\n",
+       "         284.71268145, 284.76784501],\n",
+       "        [285.62246563, 285.45235001, 285.5175207 , ..., 282.8078045 ,\n",
+       "         284.26065963, 284.26549782],\n",
+       "        ...,\n",
+       "        [279.38366979, 282.22736737, 282.20870225, ..., 275.15399671,\n",
+       "         275.41254845, 275.83782923],\n",
+       "        [277.57000509, 277.25672832, 277.42487642, ..., 274.02529401,\n",
+       "         273.6679069 , 273.41733373],\n",
+       "        [279.38773415, 282.10556219, 282.07623722, ..., 275.62927468,\n",
+       "         276.02400162, 276.06757031]],\n",
+       "\n",
+       "       [[285.83807166, 285.78931062, 285.82991018, ..., 283.15768786,\n",
+       "         284.5239518 , 284.55697341],\n",
+       "        [286.72784639, 286.3362312 , 286.50893303, ..., 285.19858548,\n",
+       "         284.75418447, 284.80755495],\n",
+       "        [285.66939326, 285.52438338, 285.57705616, ..., 282.76284476,\n",
+       "         284.18504516, 284.18906367],\n",
+       "...\n",
+       "        [277.36158022, 280.35801335, 281.00998631, ..., 279.29184117,\n",
+       "         281.80096778, 281.34728328],\n",
+       "        [279.63461611, 282.1268727 , 282.0979713 , ..., 275.73627984,\n",
+       "         276.0339064 , 275.96645273],\n",
+       "        [276.90319806, 280.14903595, 280.79067536, ..., 279.03169894,\n",
+       "         281.68114877, 281.20265116]],\n",
+       "\n",
+       "       [[286.77519999, 286.3835751 , 286.52713807, ..., 285.00963234,\n",
+       "         284.67219995, 284.73030822],\n",
+       "        [284.42480921, 283.46160621, 284.89959632, ..., 287.89920301,\n",
+       "         287.83095595, 287.77243873],\n",
+       "        [286.81415331, 286.30591543, 286.43096957, ..., 284.97776727,\n",
+       "         284.5457213 , 284.52139098],\n",
+       "        ...,\n",
+       "        [277.24985445, 280.22930884, 280.92940307, ..., 279.46418631,\n",
+       "         282.06450029, 281.57775423],\n",
+       "        [279.50485327, 282.1170321 , 282.08763704, ..., 275.67002481,\n",
+       "         276.01487805, 276.00927089],\n",
+       "        [276.78923937, 280.02232584, 280.71032977, ..., 279.19928947,\n",
+       "         281.94233259, 281.43276699]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eae6cad1-74a9-434c-a0fb-159d6e2a1bdd' class='xr-section-summary-in' type='checkbox'  ><label for='section-eae6cad1-74a9-434c-a0fb-159d6e2a1bdd' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2a31b618-e5fc-4c59-a80e-56c66c6319c3' class='xr-index-data-in' type='checkbox'/><label for='index-2a31b618-e5fc-4c59-a80e-56c66c6319c3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
+       "        52.5, 52.75,  53.0, 53.25,  53.5, 53.75,  54.0, 54.25,  54.5, 54.75,\n",
+       "        55.0, 55.25,  55.5, 55.75,  56.0, 56.25,  56.5, 56.75,  57.0, 57.25,\n",
+       "        57.5, 57.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f86ffda4-2745-4705-8e96-2d44cb789ea0' class='xr-index-data-in' type='checkbox'/><label for='index-f86ffda4-2745-4705-8e96-2d44cb789ea0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
+       "       -4.875,  -4.75, -4.625,   -4.5, -4.375,  -4.25, -4.125,   -4.0, -3.875,\n",
+       "        -3.75, -3.625,   -3.5, -3.375,  -3.25, -3.125,   -3.0, -2.875,  -2.75,\n",
+       "       -2.625,   -2.5, -2.375,  -2.25, -2.125,   -2.0, -1.875,  -1.75, -1.625,\n",
+       "         -1.5, -1.375,  -1.25, -1.125,   -1.0, -0.875,  -0.75, -0.625,   -0.5,\n",
+       "       -0.375,  -0.25, -0.125,    0.0,  0.125,   0.25,  0.375,    0.5,  0.625,\n",
+       "         0.75,  0.875,    1.0,  1.125,   1.25,  1.375,    1.5,  1.625,   1.75,\n",
+       "        1.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4e93da3d-7627-4fc6-91f0-260a3cae8b22' class='xr-index-data-in' type='checkbox'/><label for='index-4e93da3d-7627-4fc6-91f0-260a3cae8b22' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 03:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 08:00:00&#x27;, &#x27;2022-01-01 09:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 16:00:00&#x27;, &#x27;2022-12-31 17:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 23:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=8760, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-94b89159-c78a-4cee-b900-76aedf6a2062' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-94b89159-c78a-4cee-b900-76aedf6a2062' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (lat: 32, lon: 64, time: 8760)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
+       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
+       "  * time     (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
+       "Data variables:\n",
+       "    t2m      (lat, lon, time) float64 285.8 285.7 285.7 ... 279.2 281.9 281.4"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_in"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "4b9340d7",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:40:31.955432Z",
+     "start_time": "2023-09-03T12:40:31.907063Z"
+    },
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "ds_adjusted = ds_in.transpose(\"time\", \"lat\", \"lon\")\n",
+    "ds_adjusted[\"t2m\"] = ds_adjusted[\"t2m\"].astype(\"float32\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "7b01db8b",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:40:32.554765Z",
+     "start_time": "2023-09-03T12:40:32.519739Z"
+    },
+    "hidden": true
+   },
+   "outputs": [],
+   "source": [
+    "ds_adjusted2 = ds_in_2.transpose(\"time\", \"lat\", \"lon\")\n",
+    "ds_adjusted2[\"t2m\"] = ds_adjusted2[\"t2m\"].astype(\"float32\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "e37b2b62",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:40:33.599590Z",
+     "start_time": "2023-09-03T12:40:33.576903Z"
+    },
+    "hidden": true
+   },
+   "outputs": [
+    {
+     "data": {
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+       "  grid-column: 1;\n",
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+       "\n",
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+       "  color: var(--xr-font-color3);\n",
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+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (lat: 32, lon: 64, time: 8760)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
+       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
+       "  * time     (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
+       "Data variables:\n",
+       "    t2m      (time, lat, lon) float32 285.8 286.8 285.6 ... 281.6 276.0 281.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-87d7db3f-f9eb-45bb-9911-dec6ad2db7c0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-87d7db3f-f9eb-45bb-9911-dec6ad2db7c0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 32</li><li><span class='xr-has-index'>lon</span>: 64</li><li><span class='xr-has-index'>time</span>: 8760</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-55227987-2f91-4781-8530-8e10e3ce1499' class='xr-section-summary-in' type='checkbox'  checked><label for='section-55227987-2f91-4781-8530-8e10e3ce1499' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-090e76fa-3b8a-4fcc-920f-002beaf0c8e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-090e76fa-3b8a-4fcc-920f-002beaf0c8e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-136e301a-e1c4-48b4-958c-9938b0ec63ef' class='xr-var-data-in' type='checkbox'><label for='data-136e301a-e1c4-48b4-958c-9938b0ec63ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
+       "       52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25, 54.5 , 54.75,\n",
+       "       55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 , 56.75, 57.  , 57.25,\n",
+       "       57.5 , 57.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-54998ceb-ddb2-40fa-b28f-a2a20c26f4bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-54998ceb-ddb2-40fa-b28f-a2a20c26f4bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a09c4e9b-2e74-4f03-a908-cb46ffd570e1' class='xr-var-data-in' type='checkbox'><label for='data-a09c4e9b-2e74-4f03-a908-cb46ffd570e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
+       "       -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125, -4.   , -3.875,\n",
+       "       -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125, -3.   , -2.875, -2.75 ,\n",
+       "       -2.625, -2.5  , -2.375, -2.25 , -2.125, -2.   , -1.875, -1.75 , -1.625,\n",
+       "       -1.5  , -1.375, -1.25 , -1.125, -1.   , -0.875, -0.75 , -0.625, -0.5  ,\n",
+       "       -0.375, -0.25 , -0.125,  0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,\n",
+       "        0.75 ,  0.875,  1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,\n",
+       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:00:00</div><input id='attrs-860608dd-2029-4079-bae2-93d2282d2bad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-860608dd-2029-4079-bae2-93d2282d2bad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-218d076f-2629-4a70-a5d4-d37bb3f91ae2' class='xr-var-data-in' type='checkbox'><label for='data-218d076f-2629-4a70-a5d4-d37bb3f91ae2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-01-01T02:00:00.000000000&#x27;, ..., &#x27;2022-12-31T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-12-31T22:00:00.000000000&#x27;, &#x27;2022-12-31T23:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0aa82c0a-e860-49d9-a96a-3da51e1f8651' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0aa82c0a-e860-49d9-a96a-3da51e1f8651' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>285.8 286.8 285.6 ... 276.0 281.4</div><input id='attrs-fb9bb699-48c7-49b7-94b8-2db34f57f74e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb9bb699-48c7-49b7-94b8-2db34f57f74e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26d29f9b-713c-4e57-95b0-989802a442c5' class='xr-var-data-in' type='checkbox'><label for='data-26d29f9b-713c-4e57-95b0-989802a442c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[285.76486, 286.75388, 285.62247, ..., 279.38367, 277.57   ,\n",
+       "         279.38773],\n",
+       "        [285.83807, 286.72784, 285.6694 , ..., 279.3199 , 277.58795,\n",
+       "         279.28244],\n",
+       "        [285.91324, 286.69766, 285.71182, ..., 279.2686 , 277.60025,\n",
+       "         279.18762],\n",
+       "        ...,\n",
+       "        [286.80142, 284.66632, 286.85178, ..., 277.47018, 279.77713,\n",
+       "         277.01422],\n",
+       "        [286.79123, 284.54694, 286.83655, ..., 277.36157, 279.6346 ,\n",
+       "         276.9032 ],\n",
+       "        [286.7752 , 284.4248 , 286.81415, ..., 277.24985, 279.50485,\n",
+       "         276.78925]],\n",
+       "\n",
+       "       [[285.69626, 286.36063, 285.45236, ..., 282.22736, 277.2567 ,\n",
+       "         282.10556],\n",
+       "        [285.7893 , 286.33624, 285.52438, ..., 282.2346 , 277.36053,\n",
+       "         282.09222],\n",
+       "        [285.8829 , 286.31033, 285.59152, ..., 282.23688, 277.45786,\n",
+       "         282.0767 ],\n",
+       "...\n",
+       "        [284.5925 , 287.5006 , 284.47128, ..., 281.54016, 276.0815 ,\n",
+       "         281.42307],\n",
+       "        [284.63226, 287.66385, 284.50916, ..., 281.80096, 276.0339 ,\n",
+       "         281.68115],\n",
+       "        [284.6722 , 287.83096, 284.54572, ..., 282.0645 , 276.0149 ,\n",
+       "         281.94232]],\n",
+       "\n",
+       "       [[284.62152, 284.76785, 284.2655 , ..., 275.83783, 273.41733,\n",
+       "         276.06757],\n",
+       "        [284.55698, 284.80756, 284.18906, ..., 275.9442 , 273.43594,\n",
+       "         276.1406 ],\n",
+       "        [284.49756, 284.8503 , 284.11395, ..., 276.06525, 273.45877,\n",
+       "         276.2273 ],\n",
+       "        ...,\n",
+       "        [284.6581 , 287.48547, 284.46747, ..., 281.11957, 275.93945,\n",
+       "         280.97552],\n",
+       "        [284.69403, 287.6275 , 284.49503, ..., 281.3473 , 275.96646,\n",
+       "         281.20264],\n",
+       "        [284.73032, 287.77243, 284.5214 , ..., 281.57776, 276.00928,\n",
+       "         281.43277]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-788fa2b5-7427-4e01-ac91-3e07be46bf00' class='xr-section-summary-in' type='checkbox'  ><label for='section-788fa2b5-7427-4e01-ac91-3e07be46bf00' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-50f9b61b-a4a3-41b5-9d9d-d2d5eb30c6fd' class='xr-index-data-in' type='checkbox'/><label for='index-50f9b61b-a4a3-41b5-9d9d-d2d5eb30c6fd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
+       "        52.5, 52.75,  53.0, 53.25,  53.5, 53.75,  54.0, 54.25,  54.5, 54.75,\n",
+       "        55.0, 55.25,  55.5, 55.75,  56.0, 56.25,  56.5, 56.75,  57.0, 57.25,\n",
+       "        57.5, 57.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-48df0036-67ac-438c-9348-d27c62843540' class='xr-index-data-in' type='checkbox'/><label for='index-48df0036-67ac-438c-9348-d27c62843540' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
+       "       -4.875,  -4.75, -4.625,   -4.5, -4.375,  -4.25, -4.125,   -4.0, -3.875,\n",
+       "        -3.75, -3.625,   -3.5, -3.375,  -3.25, -3.125,   -3.0, -2.875,  -2.75,\n",
+       "       -2.625,   -2.5, -2.375,  -2.25, -2.125,   -2.0, -1.875,  -1.75, -1.625,\n",
+       "         -1.5, -1.375,  -1.25, -1.125,   -1.0, -0.875,  -0.75, -0.625,   -0.5,\n",
+       "       -0.375,  -0.25, -0.125,    0.0,  0.125,   0.25,  0.375,    0.5,  0.625,\n",
+       "         0.75,  0.875,    1.0,  1.125,   1.25,  1.375,    1.5,  1.625,   1.75,\n",
+       "        1.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2c41d026-1b49-40ca-b575-2e51f18fc0f4' class='xr-index-data-in' type='checkbox'/><label for='index-2c41d026-1b49-40ca-b575-2e51f18fc0f4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 03:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 08:00:00&#x27;, &#x27;2022-01-01 09:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 16:00:00&#x27;, &#x27;2022-12-31 17:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 23:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=8760, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aa629ee6-73c3-4547-b9f5-e2057c6161e6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aa629ee6-73c3-4547-b9f5-e2057c6161e6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (lat: 32, lon: 64, time: 8760)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
+       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
+       "  * time     (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
+       "Data variables:\n",
+       "    t2m      (time, lat, lon) float32 285.8 286.8 285.6 ... 281.6 276.0 281.4"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_adjusted"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
-   "id": "2c2c39c9-eb38-44fe-8e62-53243d2f788b",
+   "execution_count": 18,
+   "id": "13dd274a",
    "metadata": {
-    "hidden": true
+    "ExecuteTime": {
+     "end_time": "2023-09-03T12:40:36.807986Z",
+     "start_time": "2023-09-03T12:40:36.787009Z"
+    }
    },
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/tt/fs_l1by51m30s907pzxq6gf40000gp/T/ipykernel_23224/2189851267.py:8: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  df[\"time\"] = pd.to_datetime(df[\"time\"])  # Convert to datetime\n",
-      "100%|███████████████████████████████████████| 8760/8760 [15:10<00:00,  9.63it/s]\n"
-     ]
+     "data": {
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+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (lat: 32, lon: 64, time: 8760)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
+       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
+       "  * time     (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
+       "Data variables:\n",
+       "    t2m      (time, lat, lon) float32 286.3 286.9 286.0 ... 277.0 275.7 276.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9b17a0a9-4fe2-4023-af80-8b3f91ae83c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9b17a0a9-4fe2-4023-af80-8b3f91ae83c8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 32</li><li><span class='xr-has-index'>lon</span>: 64</li><li><span class='xr-has-index'>time</span>: 8760</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e3516fbe-f175-45cb-8691-362ccdedb70f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e3516fbe-f175-45cb-8691-362ccdedb70f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-714b90f0-d064-42da-b8ac-58b9290432fd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-714b90f0-d064-42da-b8ac-58b9290432fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44f52aa1-cc2f-461f-a497-34aaecab96dd' class='xr-var-data-in' type='checkbox'><label for='data-44f52aa1-cc2f-461f-a497-34aaecab96dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
+       "       52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25, 54.5 , 54.75,\n",
+       "       55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 , 56.75, 57.  , 57.25,\n",
+       "       57.5 , 57.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-1aa26ad6-0643-4b72-8e31-f187e04fbfd4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1aa26ad6-0643-4b72-8e31-f187e04fbfd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-578a7f2b-ae2d-4f8f-83d4-0d18a892d278' class='xr-var-data-in' type='checkbox'><label for='data-578a7f2b-ae2d-4f8f-83d4-0d18a892d278' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
+       "       -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125, -4.   , -3.875,\n",
+       "       -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125, -3.   , -2.875, -2.75 ,\n",
+       "       -2.625, -2.5  , -2.375, -2.25 , -2.125, -2.   , -1.875, -1.75 , -1.625,\n",
+       "       -1.5  , -1.375, -1.25 , -1.125, -1.   , -0.875, -0.75 , -0.625, -0.5  ,\n",
+       "       -0.375, -0.25 , -0.125,  0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,\n",
+       "        0.75 ,  0.875,  1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,\n",
+       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:00:00</div><input id='attrs-479ae302-6d37-447f-ac54-96115989c6e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-479ae302-6d37-447f-ac54-96115989c6e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f3fad36-19d0-4c3e-a629-bb29a8db86a3' class='xr-var-data-in' type='checkbox'><label for='data-5f3fad36-19d0-4c3e-a629-bb29a8db86a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-01-01T02:00:00.000000000&#x27;, ..., &#x27;2022-12-31T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-12-31T22:00:00.000000000&#x27;, &#x27;2022-12-31T23:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f6408485-884d-4a6a-a941-8d0ea4b1c815' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f6408485-884d-4a6a-a941-8d0ea4b1c815' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>286.3 286.9 286.0 ... 275.7 276.7</div><input id='attrs-9d58d394-c47e-41f1-8845-0aaa97fec9c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d58d394-c47e-41f1-8845-0aaa97fec9c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1796bd9-0867-429d-9aa2-7669beef7795' class='xr-var-data-in' type='checkbox'><label for='data-f1796bd9-0867-429d-9aa2-7669beef7795' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[286.25427, 286.90836, 286.0033 , ..., 279.5597 , 278.78085,\n",
+       "         279.72287],\n",
+       "        [286.24817, 286.8942 , 285.9765 , ..., 279.53497, 278.71426,\n",
+       "         279.658  ],\n",
+       "        [286.24606, 286.87656, 285.9482 , ..., 279.5249 , 278.64438,\n",
+       "         279.60568],\n",
+       "        ...,\n",
+       "        [286.92368, 285.96918, 286.89618, ..., 279.66223, 280.00348,\n",
+       "         279.4202 ],\n",
+       "        [286.9237 , 285.94824, 286.8891 , ..., 279.66003, 279.89514,\n",
+       "         279.41745],\n",
+       "        [286.9184 , 285.92935, 286.87503, ..., 279.65747, 279.80164,\n",
+       "         279.41452]],\n",
+       "\n",
+       "       [[286.11215, 286.2392 , 285.8667 , ..., 282.1923 , 279.4073 ,\n",
+       "         282.08667],\n",
+       "        [286.12692, 286.23203, 285.8625 , ..., 282.20264, 279.3513 ,\n",
+       "         282.07742],\n",
+       "        [286.146  , 286.22473, 285.85767, ..., 282.20837, 279.29318,\n",
+       "         282.06726],\n",
+       "...\n",
+       "        [285.16528, 287.14026, 284.90283, ..., 277.1081 , 275.84497,\n",
+       "         276.80896],\n",
+       "        [285.21033, 287.20447, 284.94513, ..., 277.16522, 275.7415 ,\n",
+       "         276.86035],\n",
+       "        [285.25455, 287.26678, 284.9856 , ..., 277.22104, 275.6596 ,\n",
+       "         276.9109 ]],\n",
+       "\n",
+       "       [[284.26047, 285.28632, 283.8857 , ..., 275.55252, 273.84274,\n",
+       "         275.6482 ],\n",
+       "        [284.26526, 285.32852, 283.87473, ..., 275.58557, 273.8541 ,\n",
+       "         275.64774],\n",
+       "        [284.27246, 285.37274, 283.86206, ..., 275.62585, 273.86707,\n",
+       "         275.65482],\n",
+       "        ...,\n",
+       "        [285.16373, 287.19162, 284.84964, ..., 276.96033, 275.70172,\n",
+       "         276.63516],\n",
+       "        [285.2048 , 287.24725, 284.88138, ..., 276.99982, 275.67468,\n",
+       "         276.67117],\n",
+       "        [285.2454 , 287.30075, 284.91153, ..., 277.03848, 275.65695,\n",
+       "         276.7066 ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4cd0ae19-f2d3-43c2-9d0a-03831bc8ea36' class='xr-section-summary-in' type='checkbox'  ><label for='section-4cd0ae19-f2d3-43c2-9d0a-03831bc8ea36' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7b558fae-8084-4027-ac50-3656a4bf7442' class='xr-index-data-in' type='checkbox'/><label for='index-7b558fae-8084-4027-ac50-3656a4bf7442' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
+       "        52.5, 52.75,  53.0, 53.25,  53.5, 53.75,  54.0, 54.25,  54.5, 54.75,\n",
+       "        55.0, 55.25,  55.5, 55.75,  56.0, 56.25,  56.5, 56.75,  57.0, 57.25,\n",
+       "        57.5, 57.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fdbd5904-46d6-4083-b11d-f71d3af26071' class='xr-index-data-in' type='checkbox'/><label for='index-fdbd5904-46d6-4083-b11d-f71d3af26071' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
+       "       -4.875,  -4.75, -4.625,   -4.5, -4.375,  -4.25, -4.125,   -4.0, -3.875,\n",
+       "        -3.75, -3.625,   -3.5, -3.375,  -3.25, -3.125,   -3.0, -2.875,  -2.75,\n",
+       "       -2.625,   -2.5, -2.375,  -2.25, -2.125,   -2.0, -1.875,  -1.75, -1.625,\n",
+       "         -1.5, -1.375,  -1.25, -1.125,   -1.0, -0.875,  -0.75, -0.625,   -0.5,\n",
+       "       -0.375,  -0.25, -0.125,    0.0,  0.125,   0.25,  0.375,    0.5,  0.625,\n",
+       "         0.75,  0.875,    1.0,  1.125,   1.25,  1.375,    1.5,  1.625,   1.75,\n",
+       "        1.875],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-59efb1af-f9a1-40b6-88cc-e5d9905e4352' class='xr-index-data-in' type='checkbox'/><label for='index-59efb1af-f9a1-40b6-88cc-e5d9905e4352' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 03:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 08:00:00&#x27;, &#x27;2022-01-01 09:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 16:00:00&#x27;, &#x27;2022-12-31 17:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 23:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=8760, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-034a27c0-1290-4a7d-899b-d633baa258ee' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-034a27c0-1290-4a7d-899b-d633baa258ee' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (lat: 32, lon: 64, time: 8760)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
+       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
+       "  * time     (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
+       "Data variables:\n",
+       "    t2m      (time, lat, lon) float32 286.3 286.9 286.0 ... 277.0 275.7 276.7"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "krige_regrid(test_path, 1979, country, data_folder, data_save_category, output_folder)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 150,
-   "id": "bbcb034f-1b7f-4bd3-a8e1-97ea59268f99",
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
-   "source": [
-    "def krige_regrid(\n",
-    "    year_df_path, year, country, data_folder, data_category, output_folder\n",
-    "):\n",
-    "    # 1. Load the data\n",
-    "    df = pd.read_csv(year_df_path)\n",
-    "    df = filter_data(df)\n",
-    "    # lat = df[\"latitude\"].values\n",
-    "    # lon = df[\"longitude\"].values\n",
-    "\n",
-    "    # 2. Create a new dataframe to store the interpolated data\n",
-    "    output_df = pd.DataFrame()\n",
-    "\n",
-    "    # 3.Define the grid\n",
-    "    g_lon = np.linspace(-6.0, 1.875, 64)  # longitude\n",
-    "    g_lat = np.linspace(50.0, 57.75, 32)  # latitude\n",
-    "    # gridx, gridy = np.meshgrid(gridx, gridy)\n",
-    "\n",
-    "    # 4. Drift term\n",
-    "    def north_south_drift(lat, lon):\n",
-    "        return lat\n",
-    "\n",
-    "    unique_times = df[\"time\"].unique()\n",
-    "\n",
-    "    # Iterate over each time\n",
-    "    for time_point in tqdm(unique_times):\n",
-    "        # 1. Load data for the specific time point\n",
-    "        time_df = df[df[\"time\"] == time_point]\n",
-    "        t2m = time_df[\"t2m\"].values\n",
-    "        lat = time_df[\"latitude\"].values\n",
-    "        lon = time_df[\"longitude\"].values\n",
-    "\n",
-    "        # 2. Estimate the variogram\n",
-    "        bin_center, vario = gs.vario_estimate(\n",
-    "            (lat, lon), t2m, latlon=True, geo_scale=gs.KM_SCALE, max_dist=900\n",
-    "        )\n",
-    "\n",
-    "        # 3. krige interpolation\n",
-    "        model = gs.Spherical(latlon=True, geo_scale=gs.KM_SCALE)\n",
-    "        model.fit_variogram(bin_center, vario, nugget=False)\n",
-    "\n",
-    "        # 5. Universal Kriging\n",
-    "\n",
-    "        uk = gs.krige.Universal(\n",
-    "            model=model,\n",
-    "            cond_pos=(lat, lon),\n",
-    "            cond_val=t2m,\n",
-    "            drift_functions=north_south_drift,\n",
-    "        )\n",
-    "\n",
-    "        uk.set_pos((g_lat, g_lon), mesh_type=\"structured\")\n",
-    "        interpolated_values = uk(return_var=False)\n",
-    "\n",
-    "        temp_df = pd.DataFrame(\n",
-    "            {\n",
-    "                \"lat\": np.tile(g_lat, len(g_lon)),\n",
-    "                \"lon\": np.repeat(g_lon, len(g_lat)),\n",
-    "                \"time\": [time_point] * len(g_lat) * len(g_lon),\n",
-    "                \"t2m\": interpolated_values.ravel(),\n",
-    "            }\n",
-    "        )\n",
-    "\n",
-    "        output_df = pd.concat([output_df, temp_df], ignore_index=True)\n",
-    "\n",
-    "    # Save to csv file\n",
-    "    output_directory = folder_utils.find_folder(\n",
-    "        country, data_folder, data_category, output_folder\n",
-    "    )\n",
-    "    output_filename = f\"{country}_ASOS_krige_{year}.csv\"\n",
-    "    output_path = os.path.join(output_directory, output_filename)\n",
-    "    output_df.to_csv(output_path, index=False)\n",
-    "\n",
-    "    # return output_df"
+    "ds_adjusted2"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
-   "id": "6f7c4694-27fd-4fc6-8059-20710c2dd8b3",
+   "execution_count": 19,
+   "id": "13008727",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T14:48:25.828067Z",
-     "start_time": "2023-09-02T14:48:25.820223Z"
+     "end_time": "2023-09-03T12:40:40.527674Z",
+     "start_time": "2023-09-03T12:40:40.521586Z"
     },
     "hidden": true
    },
    "outputs": [],
    "source": [
-    "def csv_to_nc4(\n",
-    "    merged_csv_path, year, country, data_folder, data_category, output_folder\n",
-    "):\n",
-    "    \"\"\"\n",
-    "    Convert csv files to nc4 files by year\n",
-    "    \"\"\"\n",
-    "    # Read csv files\n",
-    "    df = pd.read_csv(merged_csv_path)\n",
-    "\n",
-    "    # Filter data\n",
-    "    df = filter_data(df)\n",
-    "\n",
-    "    ds_in = xr.Dataset.from_dataframe(df.set_index([\"latitude\", \"longitude\", \"time\"]))\n",
-    "    ds_in = ds_in.sel(latitude=slice(50, 58), longitude=slice(-6, 2))\n",
-    "    ds_adjusted = ds_in.transpose(\"time\", \"latitude\", \"longitude\")\n",
-    "    ds_adjusted[\"t2m\"] = ds_adjusted[\"t2m\"].astype(\"float32\")\n",
-    "\n",
-    "    # ddeg_out_lat = 0.25\n",
-    "    # ddeg_out_lon = 0.125\n",
-    "    # regridded_ds = regrid(\n",
-    "    #     ds_in, ddeg_out_lat, ddeg_out_lon, method=\"bilinear\", reuse_weights=False\n",
-    "    # )\n",
-    "\n",
-    "    # Save to nc4 file\n",
-    "\n",
-    "    output_directory = folder_utils.find_folder(\n",
-    "        country, data_folder, data_category, output_folder\n",
-    "    )\n",
-    "    output_filename = f\"{country}_ASOS_filter_{year}.nc\"\n",
-    "    output_path = os.path.join(output_directory, output_filename)\n",
-    "    ds_adjusted.to_netcdf(output_path)\n",
-    "    print(f\"{output_filename} done!\")\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "952295b1",
-   "metadata": {
-    "heading_collapsed": true
-   },
-   "source": [
-    "## 2022 ASOS"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "id": "e2a34bca",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-09-02T14:50:08.619952Z",
-     "start_time": "2023-09-02T14:50:03.918533Z"
-    },
-    "hidden": true
-   },
-   "outputs": [
-    {
-     "ename": "FileNotFoundError",
-     "evalue": "[Errno 2] No such file or directory: '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_ASOS_krige_2022.csv'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[45], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_ASOS_krige_2022.csv\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32mD:\\anaconda3\\envs\\da\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:912\u001b[0m, in \u001b[0;36mread_csv\u001b[1;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[0;32m    899\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[0;32m    900\u001b[0m     dialect,\n\u001b[0;32m    901\u001b[0m     delimiter,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    908\u001b[0m     dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[0;32m    909\u001b[0m )\n\u001b[0;32m    910\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[1;32m--> 912\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32mD:\\anaconda3\\envs\\da\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:577\u001b[0m, in \u001b[0;36m_read\u001b[1;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[0;32m    574\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[0;32m    576\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[1;32m--> 577\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    579\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[0;32m    580\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m parser\n",
-      "File \u001b[1;32mD:\\anaconda3\\envs\\da\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:1407\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[1;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[0;32m   1404\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m   1406\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m-> 1407\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32mD:\\anaconda3\\envs\\da\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:1661\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[1;34m(self, f, engine)\u001b[0m\n\u001b[0;32m   1659\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[0;32m   1660\u001b[0m         mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m-> 1661\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m   1662\u001b[0m \u001b[43m    \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1663\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1664\u001b[0m \u001b[43m    \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1665\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1666\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1667\u001b[0m \u001b[43m    \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1668\u001b[0m \u001b[43m    \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1669\u001b[0m \u001b[43m    \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1670\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   1671\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m   1672\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n",
-      "File \u001b[1;32mD:\\anaconda3\\envs\\da\\Lib\\site-packages\\pandas\\io\\common.py:859\u001b[0m, in \u001b[0;36mget_handle\u001b[1;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[0;32m    854\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[0;32m    855\u001b[0m     \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[0;32m    856\u001b[0m     \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[0;32m    857\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[0;32m    858\u001b[0m         \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[1;32m--> 859\u001b[0m         handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[0;32m    860\u001b[0m \u001b[43m            \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    861\u001b[0m \u001b[43m            \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    862\u001b[0m \u001b[43m            \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    863\u001b[0m \u001b[43m            \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    864\u001b[0m \u001b[43m            \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m    865\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    866\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    867\u001b[0m         \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[0;32m    868\u001b[0m         handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n",
-      "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_ASOS_krige_2022.csv'"
-     ]
-    }
-   ],
-   "source": [
-    "df = pd.read_csv(\"/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/processed_data/ASOS_DATA/GB_ASOS_DATA/GB_ASOS_krige_2022.csv\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "809ee019",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-09-02T14:50:10.189688Z",
-     "start_time": "2023-09-02T14:50:10.170773Z"
-    },
-    "hidden": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>lat</th>\n",
-       "      <th>lon</th>\n",
-       "      <th>time</th>\n",
-       "      <th>t2m</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>50.00</td>\n",
-       "      <td>-6.000</td>\n",
-       "      <td>2022-01-01 00:00:00</td>\n",
-       "      <td>286.254259</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>50.25</td>\n",
-       "      <td>-6.000</td>\n",
-       "      <td>2022-01-01 00:00:00</td>\n",
-       "      <td>286.248175</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>50.50</td>\n",
-       "      <td>-6.000</td>\n",
-       "      <td>2022-01-01 00:00:00</td>\n",
-       "      <td>286.246059</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>50.75</td>\n",
-       "      <td>-6.000</td>\n",
-       "      <td>2022-01-01 00:00:00</td>\n",
-       "      <td>286.249170</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>51.00</td>\n",
-       "      <td>-6.000</td>\n",
-       "      <td>2022-01-01 00:00:00</td>\n",
-       "      <td>286.258422</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17940475</th>\n",
-       "      <td>56.75</td>\n",
-       "      <td>1.875</td>\n",
-       "      <td>2022-05-19 00:00:00</td>\n",
-       "      <td>286.229328</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17940476</th>\n",
-       "      <td>57.00</td>\n",
-       "      <td>1.875</td>\n",
-       "      <td>2022-05-19 00:00:00</td>\n",
-       "      <td>286.229328</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17940477</th>\n",
-       "      <td>57.25</td>\n",
-       "      <td>1.875</td>\n",
-       "      <td>2022-05-19 00:00:00</td>\n",
-       "      <td>286.229328</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17940478</th>\n",
-       "      <td>57.50</td>\n",
-       "      <td>1.875</td>\n",
-       "      <td>2022-05-19 00:00:00</td>\n",
-       "      <td>286.229328</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17940479</th>\n",
-       "      <td>57.75</td>\n",
-       "      <td>1.875</td>\n",
-       "      <td>2022-05-19 00:00:00</td>\n",
-       "      <td>286.229328</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>17940480 rows × 4 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            lat    lon                 time         t2m\n",
-       "0         50.00 -6.000  2022-01-01 00:00:00  286.254259\n",
-       "1         50.25 -6.000  2022-01-01 00:00:00  286.248175\n",
-       "2         50.50 -6.000  2022-01-01 00:00:00  286.246059\n",
-       "3         50.75 -6.000  2022-01-01 00:00:00  286.249170\n",
-       "4         51.00 -6.000  2022-01-01 00:00:00  286.258422\n",
-       "...         ...    ...                  ...         ...\n",
-       "17940475  56.75  1.875  2022-05-19 00:00:00  286.229328\n",
-       "17940476  57.00  1.875  2022-05-19 00:00:00  286.229328\n",
-       "17940477  57.25  1.875  2022-05-19 00:00:00  286.229328\n",
-       "17940478  57.50  1.875  2022-05-19 00:00:00  286.229328\n",
-       "17940479  57.75  1.875  2022-05-19 00:00:00  286.229328\n",
-       "\n",
-       "[17940480 rows x 4 columns]"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df"
+    "new_coord_names = {\n",
+    "    'lat': 'latitude',\n",
+    "    'lon': 'longitude',\n",
+    "#     't2m':'t',\n",
+    "    \n",
+    "}\n",
+    "# 使用.rename()方法来重命名坐标\n",
+    "ds_adjusted2 = ds_adjusted2.rename(new_coord_names)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
-   "id": "31c6b43a",
+   "execution_count": 20,
+   "id": "0ce3503d",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T14:51:02.603591Z",
-     "start_time": "2023-09-02T14:50:59.064940Z"
+     "end_time": "2023-09-03T12:40:41.049195Z",
+     "start_time": "2023-09-03T12:40:41.042375Z"
     },
     "hidden": true
    },
    "outputs": [],
    "source": [
-    "ds_in = xr.Dataset.from_dataframe(df.set_index([\"lat\", \"lon\", \"time\"]))"
+    "# 重命名数据变量\n",
+    "# new_variable_names = {\n",
+    "#     't2m': 't',\n",
+    "# }\n",
+    "# ds_adjusted = ds_adjusted.rename(new_variable_names)\n",
+    "\n",
+    "# 重命名坐标\n",
+    "new_coord_names = {\n",
+    "    'lat': 'latitude',\n",
+    "    'lon': 'longitude',\n",
+    "#     't2m':'t',\n",
+    "    \n",
+    "}\n",
+    "# 使用.rename()方法来重命名坐标\n",
+    "ds_adjusted = ds_adjusted.rename(new_coord_names)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
-   "id": "f28180b3",
+   "execution_count": 21,
+   "id": "587add71",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T14:51:15.489043Z",
-     "start_time": "2023-09-02T14:51:15.438712Z"
-    },
-    "hidden": true
+     "end_time": "2023-09-03T12:40:43.932781Z",
+     "start_time": "2023-09-03T12:40:43.910379Z"
+    }
    },
    "outputs": [
     {
@@ -40511,69 +46740,70 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:  (lat: 32, lon: 64, time: 8760)\n",
+       "Dimensions:    (latitude: 32, longitude: 64, time: 8760)\n",
        "Coordinates:\n",
-       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
-       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
-       "  * time     (time) object &#x27;2022-01-01 00:00:00&#x27; ... &#x27;2022-12-31 23:00:00&#x27;\n",
+       "  * latitude   (latitude) float64 50.0 50.25 50.5 50.75 ... 57.25 57.5 57.75\n",
+       "  * longitude  (longitude) float64 -6.0 -5.875 -5.75 -5.625 ... 1.625 1.75 1.875\n",
+       "  * time       (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
        "Data variables:\n",
-       "    t2m      (lat, lon, time) float64 286.3 286.1 286.1 ... 276.6 276.9 276.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-73d46699-53d7-482d-b9b8-1e8a62109ccb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-73d46699-53d7-482d-b9b8-1e8a62109ccb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 32</li><li><span class='xr-has-index'>lon</span>: 64</li><li><span class='xr-has-index'>time</span>: 8760</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b41821ef-fa90-4fa9-a509-3f5c61449af1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b41821ef-fa90-4fa9-a509-3f5c61449af1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-ee50cd91-5d68-489d-b0d9-c01134a52742' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee50cd91-5d68-489d-b0d9-c01134a52742' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6efb14b-80b6-47a3-bab4-f84de65df7eb' class='xr-var-data-in' type='checkbox'><label for='data-e6efb14b-80b6-47a3-bab4-f84de65df7eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
+       "    t2m        (time, latitude, longitude) float32 286.3 286.9 ... 275.7 276.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-322c2b97-7290-4bea-afe4-aac7beccf3a6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-322c2b97-7290-4bea-afe4-aac7beccf3a6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 32</li><li><span class='xr-has-index'>longitude</span>: 64</li><li><span class='xr-has-index'>time</span>: 8760</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-518cdc4d-b3ef-4ad6-aa49-824d5c3ab92e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-518cdc4d-b3ef-4ad6-aa49-824d5c3ab92e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-f771a180-3096-4689-9a5b-ef8ede8ac2c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f771a180-3096-4689-9a5b-ef8ede8ac2c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37ccbaa1-32f9-47a4-a773-f75649230c71' class='xr-var-data-in' type='checkbox'><label for='data-37ccbaa1-32f9-47a4-a773-f75649230c71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
        "       52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25, 54.5 , 54.75,\n",
        "       55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 , 56.75, 57.  , 57.25,\n",
-       "       57.5 , 57.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-7e4f2497-c96b-42fb-9e3c-b154c8dc46d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e4f2497-c96b-42fb-9e3c-b154c8dc46d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be690060-f774-4952-bf6f-8a128de57a57' class='xr-var-data-in' type='checkbox'><label for='data-be690060-f774-4952-bf6f-8a128de57a57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
+       "       57.5 , 57.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-a68fa38c-e67f-4c55-b8b5-6844dc430887' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a68fa38c-e67f-4c55-b8b5-6844dc430887' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d3c4a2e-fd22-4bee-9933-80fc80711311' class='xr-var-data-in' type='checkbox'><label for='data-7d3c4a2e-fd22-4bee-9933-80fc80711311' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
        "       -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125, -4.   , -3.875,\n",
        "       -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125, -3.   , -2.875, -2.75 ,\n",
        "       -2.625, -2.5  , -2.375, -2.25 , -2.125, -2.   , -1.875, -1.75 , -1.625,\n",
        "       -1.5  , -1.375, -1.25 , -1.125, -1.   , -0.875, -0.75 , -0.625, -0.5  ,\n",
        "       -0.375, -0.25 , -0.125,  0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,\n",
        "        0.75 ,  0.875,  1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,\n",
-       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2022-01-01 00:00:00&#x27; ... &#x27;2022-...</div><input id='attrs-57789ad4-d916-417c-948f-dac2eafc3840' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-57789ad4-d916-417c-948f-dac2eafc3840' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-304585dc-6834-4d5b-9b86-1c96599ea5f0' class='xr-var-data-in' type='checkbox'><label for='data-304585dc-6834-4d5b-9b86-1c96599ea5f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;, &#x27;2022-01-01 02:00:00&#x27;,\n",
-       "       ..., &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 22:00:00&#x27;,\n",
-       "       &#x27;2022-12-31 23:00:00&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-858210e4-f0ad-4587-9079-44f268586051' class='xr-section-summary-in' type='checkbox'  checked><label for='section-858210e4-f0ad-4587-9079-44f268586051' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(lat, lon, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>286.3 286.1 286.1 ... 276.9 276.7</div><input id='attrs-9ae32965-b10e-4571-804c-f34bd1cd171f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9ae32965-b10e-4571-804c-f34bd1cd171f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-697027d2-504e-4755-8dd8-1e903dce968b' class='xr-var-data-in' type='checkbox'><label for='data-697027d2-504e-4755-8dd8-1e903dce968b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[286.25425876, 286.11214291, 286.13502599, ..., 283.19003087,\n",
-       "         284.20745861, 284.26047191],\n",
-       "        [286.90834477, 286.23920567, 286.52092198, ..., 285.43971702,\n",
-       "         285.29827049, 285.28632544],\n",
-       "        [286.00330259, 285.86670783, 285.87451486, ..., 282.75772665,\n",
-       "         283.85074064, 283.88572325],\n",
+       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:00:00</div><input id='attrs-6b71ee5c-3952-43eb-b895-991ce8b91b84' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b71ee5c-3952-43eb-b895-991ce8b91b84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57cb3af4-de94-4708-89b6-c5cfdd85abbb' class='xr-var-data-in' type='checkbox'><label for='data-57cb3af4-de94-4708-89b6-c5cfdd85abbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-01-01T02:00:00.000000000&#x27;, ..., &#x27;2022-12-31T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-12-31T22:00:00.000000000&#x27;, &#x27;2022-12-31T23:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-16ce1ce4-ceac-40cc-b86d-3f3ba00359ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-16ce1ce4-ceac-40cc-b86d-3f3ba00359ca' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>286.3 286.9 286.0 ... 275.7 276.7</div><input id='attrs-84fc5dd9-7592-48a7-87db-384d31b39800' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84fc5dd9-7592-48a7-87db-384d31b39800' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75891601-73ea-4cdc-9f95-2b4a2a751eb3' class='xr-var-data-in' type='checkbox'><label for='data-75891601-73ea-4cdc-9f95-2b4a2a751eb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[286.25427, 286.90836, 286.0033 , ..., 279.5597 , 278.78085,\n",
+       "         279.72287],\n",
+       "        [286.24817, 286.8942 , 285.9765 , ..., 279.53497, 278.71426,\n",
+       "         279.658  ],\n",
+       "        [286.24606, 286.87656, 285.9482 , ..., 279.5249 , 278.64438,\n",
+       "         279.60568],\n",
        "        ...,\n",
-       "        [279.5596912 , 282.19229308, 282.17172149, ..., 275.04579232,\n",
-       "         275.12062603, 275.55252712],\n",
-       "        [278.78085048, 279.40728188, 279.31727882, ..., 274.25013253,\n",
-       "         274.05795432, 273.84275342],\n",
-       "        [279.72286239, 282.08665865, 282.06078921, ..., 275.49704083,\n",
-       "         275.5988876 , 275.64819054]],\n",
-       "\n",
-       "       [[286.24817497, 286.12693195, 286.14727848, ..., 283.19538185,\n",
-       "         284.21856651, 284.26524533],\n",
-       "        [286.89419047, 286.23202334, 286.5259809 , ..., 285.52844847,\n",
-       "         285.34194854, 285.32851238],\n",
-       "        [285.97648803, 285.86249649, 285.86731967, ..., 282.71899719,\n",
-       "         283.84542872, 283.87471326],\n",
+       "        [286.92368, 285.96918, 286.89618, ..., 279.66223, 280.00348,\n",
+       "         279.4202 ],\n",
+       "        [286.9237 , 285.94824, 286.8891 , ..., 279.66003, 279.89514,\n",
+       "         279.41745],\n",
+       "        [286.9184 , 285.92935, 286.87503, ..., 279.65747, 279.80164,\n",
+       "         279.41452]],\n",
+       "\n",
+       "       [[286.11215, 286.2392 , 285.8667 , ..., 282.1923 , 279.4073 ,\n",
+       "         282.08667],\n",
+       "        [286.12692, 286.23203, 285.8625 , ..., 282.20264, 279.3513 ,\n",
+       "         282.07742],\n",
+       "        [286.146  , 286.22473, 285.85767, ..., 282.20837, 279.29318,\n",
+       "         282.06726],\n",
        "...\n",
-       "        [279.66002777, 281.62534818, 281.6960936 , ..., 276.86074983,\n",
-       "         277.16521362, 276.99982404],\n",
-       "        [279.89515007, 282.10291375, 282.08449795, ..., 275.66075545,\n",
-       "         275.74148094, 275.67468685],\n",
-       "        [279.41746386, 281.46332925, 281.52643748, ..., 276.56983477,\n",
-       "         276.86036435, 276.67118024]],\n",
-       "\n",
-       "       [[286.91839348, 286.24628751, 286.51628698, ..., 285.34575436,\n",
-       "         285.25453496, 285.24537846],\n",
-       "        [285.92934682, 285.49369946, 286.51417079, ..., 287.17428295,\n",
-       "         287.26678306, 287.30074253],\n",
-       "        [286.87504134, 286.16623173, 286.38755532, ..., 285.20253944,\n",
-       "         284.98559162, 284.91152958],\n",
+       "        [285.16528, 287.14026, 284.90283, ..., 277.1081 , 275.84497,\n",
+       "         276.80896],\n",
+       "        [285.21033, 287.20447, 284.94513, ..., 277.16522, 275.7415 ,\n",
+       "         276.86035],\n",
+       "        [285.25455, 287.26678, 284.9856 , ..., 277.22104, 275.6596 ,\n",
+       "         276.9109 ]],\n",
+       "\n",
+       "       [[284.26047, 285.28632, 283.8857 , ..., 275.55252, 273.84274,\n",
+       "         275.6482 ],\n",
+       "        [284.26526, 285.32852, 283.87473, ..., 275.58557, 273.8541 ,\n",
+       "         275.64774],\n",
+       "        [284.27246, 285.37274, 283.86206, ..., 275.62585, 273.86707,\n",
+       "         275.65482],\n",
        "        ...,\n",
-       "        [279.65746191, 281.59749106, 281.68019945, ..., 276.91439002,\n",
-       "         277.22103075, 277.03847593],\n",
-       "        [279.80164498, 282.09511586, 282.07313428, ..., 275.56813823,\n",
-       "         275.65961198, 275.65696471],\n",
-       "        [279.41450698, 281.43746346, 281.51079765, ..., 276.61809896,\n",
-       "         276.91088693, 276.70660852]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-08a03ad0-2525-4ae5-9a1a-b3dfd1be034a' class='xr-section-summary-in' type='checkbox'  ><label for='section-08a03ad0-2525-4ae5-9a1a-b3dfd1be034a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0e6a879f-07f1-429e-822b-92b1b6608d50' class='xr-index-data-in' type='checkbox'/><label for='index-0e6a879f-07f1-429e-822b-92b1b6608d50' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
+       "        [285.16373, 287.19162, 284.84964, ..., 276.96033, 275.70172,\n",
+       "         276.63516],\n",
+       "        [285.2048 , 287.24725, 284.88138, ..., 276.99982, 275.67468,\n",
+       "         276.67117],\n",
+       "        [285.2454 , 287.30075, 284.91153, ..., 277.03848, 275.65695,\n",
+       "         276.7066 ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c06a13b-0d9d-4343-83f4-37c4ef399bd1' class='xr-section-summary-in' type='checkbox'  ><label for='section-9c06a13b-0d9d-4343-83f4-37c4ef399bd1' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4e4d09a2-8ffc-40d5-83d4-ee9b82cb9d63' class='xr-index-data-in' type='checkbox'/><label for='index-4e4d09a2-8ffc-40d5-83d4-ee9b82cb9d63' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
        "        52.5, 52.75,  53.0, 53.25,  53.5, 53.75,  54.0, 54.25,  54.5, 54.75,\n",
        "        55.0, 55.25,  55.5, 55.75,  56.0, 56.25,  56.5, 56.75,  57.0, 57.25,\n",
        "        57.5, 57.75],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aeed5c88-22ac-43b1-b38c-110ac31d7507' class='xr-index-data-in' type='checkbox'/><label for='index-aeed5c88-22ac-43b1-b38c-110ac31d7507' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-582a821a-7fa5-444e-9a8c-1d366a02036d' class='xr-index-data-in' type='checkbox'/><label for='index-582a821a-7fa5-444e-9a8c-1d366a02036d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
        "       -4.875,  -4.75, -4.625,   -4.5, -4.375,  -4.25, -4.125,   -4.0, -3.875,\n",
        "        -3.75, -3.625,   -3.5, -3.375,  -3.25, -3.125,   -3.0, -2.875,  -2.75,\n",
        "       -2.625,   -2.5, -2.375,  -2.25, -2.125,   -2.0, -1.875,  -1.75, -1.625,\n",
@@ -40581,64 +46811,48 @@
        "       -0.375,  -0.25, -0.125,    0.0,  0.125,   0.25,  0.375,    0.5,  0.625,\n",
        "         0.75,  0.875,    1.0,  1.125,   1.25,  1.375,    1.5,  1.625,   1.75,\n",
        "        1.875],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f709013b-fcdc-41cc-abf4-ae9fb2ca1484' class='xr-index-data-in' type='checkbox'/><label for='index-f709013b-fcdc-41cc-abf4-ae9fb2ca1484' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;, &#x27;2022-01-01 02:00:00&#x27;,\n",
-       "       &#x27;2022-01-01 03:00:00&#x27;, &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,\n",
-       "       &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;, &#x27;2022-01-01 08:00:00&#x27;,\n",
-       "       &#x27;2022-01-01 09:00:00&#x27;,\n",
-       "       ...\n",
-       "       &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;, &#x27;2022-12-31 16:00:00&#x27;,\n",
-       "       &#x27;2022-12-31 17:00:00&#x27;, &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,\n",
-       "       &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 22:00:00&#x27;,\n",
-       "       &#x27;2022-12-31 23:00:00&#x27;],\n",
-       "      dtype=&#x27;object&#x27;, name=&#x27;time&#x27;, length=8760))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ef554ce-974c-4bd1-9d42-558d9169cb87' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0ef554ce-974c-4bd1-9d42-558d9169cb87' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2fa56387-f44a-4aa3-9712-25aadd536f9c' class='xr-index-data-in' type='checkbox'/><label for='index-2fa56387-f44a-4aa3-9712-25aadd536f9c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 03:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 08:00:00&#x27;, &#x27;2022-01-01 09:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 16:00:00&#x27;, &#x27;2022-12-31 17:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 23:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=8760, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b3008ac-3942-423f-bce5-22098fcc4d49' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1b3008ac-3942-423f-bce5-22098fcc4d49' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:  (lat: 32, lon: 64, time: 8760)\n",
+       "Dimensions:    (latitude: 32, longitude: 64, time: 8760)\n",
        "Coordinates:\n",
-       "  * lat      (lat) float64 50.0 50.25 50.5 50.75 51.0 ... 57.0 57.25 57.5 57.75\n",
-       "  * lon      (lon) float64 -6.0 -5.875 -5.75 -5.625 ... 1.5 1.625 1.75 1.875\n",
-       "  * time     (time) object '2022-01-01 00:00:00' ... '2022-12-31 23:00:00'\n",
+       "  * latitude   (latitude) float64 50.0 50.25 50.5 50.75 ... 57.25 57.5 57.75\n",
+       "  * longitude  (longitude) float64 -6.0 -5.875 -5.75 -5.625 ... 1.625 1.75 1.875\n",
+       "  * time       (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
        "Data variables:\n",
-       "    t2m      (lat, lon, time) float64 286.3 286.1 286.1 ... 276.6 276.9 276.7"
+       "    t2m        (time, latitude, longitude) float32 286.3 286.9 ... 275.7 276.7"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ds_in"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "id": "4b9340d7",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-09-02T14:51:53.756135Z",
-     "start_time": "2023-09-02T14:51:53.695641Z"
-    },
-    "hidden": true
-   },
-   "outputs": [],
-   "source": [
-    "ds_adjusted = ds_in.transpose(\"time\", \"lat\", \"lon\")\n",
-    "ds_adjusted[\"t2m\"] = ds_adjusted[\"t2m\"].astype(\"float32\")"
+    "ds_adjusted2"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
-   "id": "e37b2b62",
+   "execution_count": 22,
+   "id": "6e86f8c1",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T15:02:00.205781Z",
-     "start_time": "2023-09-02T15:02:00.187414Z"
-    },
-    "hidden": true
+     "end_time": "2023-09-03T12:40:46.137685Z",
+     "start_time": "2023-09-03T12:40:46.115894Z"
+    }
    },
    "outputs": [
     {
@@ -41012,65 +47226,66 @@
        "Coordinates:\n",
        "  * latitude   (latitude) float64 50.0 50.25 50.5 50.75 ... 57.25 57.5 57.75\n",
        "  * longitude  (longitude) float64 -6.0 -5.875 -5.75 -5.625 ... 1.625 1.75 1.875\n",
-       "  * time       (time) object &#x27;2022-01-01 00:00:00&#x27; ... &#x27;2022-12-31 23:00:00&#x27;\n",
+       "  * time       (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
        "Data variables:\n",
-       "    t          (time, latitude, longitude) float32 286.3 286.9 ... 275.7 276.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a611c523-a53e-425d-b2bd-76155e8bf261' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a611c523-a53e-425d-b2bd-76155e8bf261' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 32</li><li><span class='xr-has-index'>longitude</span>: 64</li><li><span class='xr-has-index'>time</span>: 8760</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a711a98b-cc7c-4d3c-a528-38803a06c827' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a711a98b-cc7c-4d3c-a528-38803a06c827' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-ff9103a3-cd27-4611-a0ba-3c92c0aca787' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff9103a3-cd27-4611-a0ba-3c92c0aca787' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36ae9f0d-5d96-4e74-b377-626cfa13c80f' class='xr-var-data-in' type='checkbox'><label for='data-36ae9f0d-5d96-4e74-b377-626cfa13c80f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
+       "    t2m        (time, latitude, longitude) float32 285.8 286.8 ... 276.0 281.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5258c610-598c-4b37-9810-a06cf5893097' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5258c610-598c-4b37-9810-a06cf5893097' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 32</li><li><span class='xr-has-index'>longitude</span>: 64</li><li><span class='xr-has-index'>time</span>: 8760</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-47ec95e7-d46f-491e-b520-49c53bb519cc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-47ec95e7-d46f-491e-b520-49c53bb519cc' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 50.25 50.5 ... 57.5 57.75</div><input id='attrs-69902dcf-43a5-4eaf-9ce3-ac02d220bf3a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69902dcf-43a5-4eaf-9ce3-ac02d220bf3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36a1b9ae-4e29-473e-9d0c-ec2c670b48ae' class='xr-var-data-in' type='checkbox'><label for='data-36a1b9ae-4e29-473e-9d0c-ec2c670b48ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.  , 50.25, 50.5 , 50.75, 51.  , 51.25, 51.5 , 51.75, 52.  , 52.25,\n",
        "       52.5 , 52.75, 53.  , 53.25, 53.5 , 53.75, 54.  , 54.25, 54.5 , 54.75,\n",
        "       55.  , 55.25, 55.5 , 55.75, 56.  , 56.25, 56.5 , 56.75, 57.  , 57.25,\n",
-       "       57.5 , 57.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-3edf69ad-6d76-4ff5-868b-ce45e796d64d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3edf69ad-6d76-4ff5-868b-ce45e796d64d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8c58b2e-9521-4391-9257-ef331ff017f0' class='xr-var-data-in' type='checkbox'><label for='data-d8c58b2e-9521-4391-9257-ef331ff017f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
+       "       57.5 , 57.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.0 -5.875 -5.75 ... 1.75 1.875</div><input id='attrs-692bd441-f1c9-43f6-bc5d-0b8b5078e050' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-692bd441-f1c9-43f6-bc5d-0b8b5078e050' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6eddd55-c4bf-4d2e-9254-a50844f1f0eb' class='xr-var-data-in' type='checkbox'><label for='data-a6eddd55-c4bf-4d2e-9254-a50844f1f0eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-6.   , -5.875, -5.75 , -5.625, -5.5  , -5.375, -5.25 , -5.125, -5.   ,\n",
        "       -4.875, -4.75 , -4.625, -4.5  , -4.375, -4.25 , -4.125, -4.   , -3.875,\n",
        "       -3.75 , -3.625, -3.5  , -3.375, -3.25 , -3.125, -3.   , -2.875, -2.75 ,\n",
        "       -2.625, -2.5  , -2.375, -2.25 , -2.125, -2.   , -1.875, -1.75 , -1.625,\n",
        "       -1.5  , -1.375, -1.25 , -1.125, -1.   , -0.875, -0.75 , -0.625, -0.5  ,\n",
        "       -0.375, -0.25 , -0.125,  0.   ,  0.125,  0.25 ,  0.375,  0.5  ,  0.625,\n",
        "        0.75 ,  0.875,  1.   ,  1.125,  1.25 ,  1.375,  1.5  ,  1.625,  1.75 ,\n",
-       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2022-01-01 00:00:00&#x27; ... &#x27;2022-...</div><input id='attrs-36ae590b-dc4d-411c-915b-6d8f5bf4b22e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36ae590b-dc4d-411c-915b-6d8f5bf4b22e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c35b1f82-2f6d-45df-8c64-20c95fa4baec' class='xr-var-data-in' type='checkbox'><label for='data-c35b1f82-2f6d-45df-8c64-20c95fa4baec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;, &#x27;2022-01-01 02:00:00&#x27;,\n",
-       "       ..., &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 22:00:00&#x27;,\n",
-       "       &#x27;2022-12-31 23:00:00&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9b8c058d-d773-4ced-b93a-69081d4c8c8c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9b8c058d-d773-4ced-b93a-69081d4c8c8c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>286.3 286.9 286.0 ... 275.7 276.7</div><input id='attrs-2778eace-f130-48a6-b4a7-83e4ac1b70ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2778eace-f130-48a6-b4a7-83e4ac1b70ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-212849ee-eea3-41b9-974b-752d4b416dbb' class='xr-var-data-in' type='checkbox'><label for='data-212849ee-eea3-41b9-974b-752d4b416dbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[286.25427, 286.90836, 286.0033 , ..., 279.5597 , 278.78085,\n",
-       "         279.72287],\n",
-       "        [286.24817, 286.8942 , 285.9765 , ..., 279.53497, 278.71426,\n",
-       "         279.658  ],\n",
-       "        [286.24606, 286.87656, 285.9482 , ..., 279.5249 , 278.64438,\n",
-       "         279.60568],\n",
+       "        1.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:00:00</div><input id='attrs-d624f055-2b37-4e46-b81b-0ccf4b48b5b3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d624f055-2b37-4e46-b81b-0ccf4b48b5b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-475e1071-e751-431f-8d16-4ce994a0e6fb' class='xr-var-data-in' type='checkbox'><label for='data-475e1071-e751-431f-8d16-4ce994a0e6fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-01-01T02:00:00.000000000&#x27;, ..., &#x27;2022-12-31T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2022-12-31T22:00:00.000000000&#x27;, &#x27;2022-12-31T23:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4269e4f2-f04f-47ed-a410-8dbcd0067fd1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4269e4f2-f04f-47ed-a410-8dbcd0067fd1' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>285.8 286.8 285.6 ... 276.0 281.4</div><input id='attrs-cd85ba68-ee6f-4de2-87c5-2f4a30b76c62' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd85ba68-ee6f-4de2-87c5-2f4a30b76c62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aba3a9b9-d10b-4033-8cec-10fb9953fcb8' class='xr-var-data-in' type='checkbox'><label for='data-aba3a9b9-d10b-4033-8cec-10fb9953fcb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[285.76486, 286.75388, 285.62247, ..., 279.38367, 277.57   ,\n",
+       "         279.38773],\n",
+       "        [285.83807, 286.72784, 285.6694 , ..., 279.3199 , 277.58795,\n",
+       "         279.28244],\n",
+       "        [285.91324, 286.69766, 285.71182, ..., 279.2686 , 277.60025,\n",
+       "         279.18762],\n",
        "        ...,\n",
-       "        [286.92368, 285.96918, 286.89618, ..., 279.66223, 280.00348,\n",
-       "         279.4202 ],\n",
-       "        [286.9237 , 285.94824, 286.8891 , ..., 279.66003, 279.89514,\n",
-       "         279.41745],\n",
-       "        [286.9184 , 285.92935, 286.87503, ..., 279.65747, 279.80164,\n",
-       "         279.41452]],\n",
+       "        [286.80142, 284.66632, 286.85178, ..., 277.47018, 279.77713,\n",
+       "         277.01422],\n",
+       "        [286.79123, 284.54694, 286.83655, ..., 277.36157, 279.6346 ,\n",
+       "         276.9032 ],\n",
+       "        [286.7752 , 284.4248 , 286.81415, ..., 277.24985, 279.50485,\n",
+       "         276.78925]],\n",
        "\n",
-       "       [[286.11215, 286.2392 , 285.8667 , ..., 282.1923 , 279.4073 ,\n",
-       "         282.08667],\n",
-       "        [286.12692, 286.23203, 285.8625 , ..., 282.20264, 279.3513 ,\n",
-       "         282.07742],\n",
-       "        [286.146  , 286.22473, 285.85767, ..., 282.20837, 279.29318,\n",
-       "         282.06726],\n",
+       "       [[285.69626, 286.36063, 285.45236, ..., 282.22736, 277.2567 ,\n",
+       "         282.10556],\n",
+       "        [285.7893 , 286.33624, 285.52438, ..., 282.2346 , 277.36053,\n",
+       "         282.09222],\n",
+       "        [285.8829 , 286.31033, 285.59152, ..., 282.23688, 277.45786,\n",
+       "         282.0767 ],\n",
        "...\n",
-       "        [285.16528, 287.14026, 284.90283, ..., 277.1081 , 275.84497,\n",
-       "         276.80896],\n",
-       "        [285.21033, 287.20447, 284.94513, ..., 277.16522, 275.7415 ,\n",
-       "         276.86035],\n",
-       "        [285.25455, 287.26678, 284.9856 , ..., 277.22104, 275.6596 ,\n",
-       "         276.9109 ]],\n",
+       "        [284.5925 , 287.5006 , 284.47128, ..., 281.54016, 276.0815 ,\n",
+       "         281.42307],\n",
+       "        [284.63226, 287.66385, 284.50916, ..., 281.80096, 276.0339 ,\n",
+       "         281.68115],\n",
+       "        [284.6722 , 287.83096, 284.54572, ..., 282.0645 , 276.0149 ,\n",
+       "         281.94232]],\n",
        "\n",
-       "       [[284.26047, 285.28632, 283.8857 , ..., 275.55252, 273.84274,\n",
-       "         275.6482 ],\n",
-       "        [284.26526, 285.32852, 283.87473, ..., 275.58557, 273.8541 ,\n",
-       "         275.64774],\n",
-       "        [284.27246, 285.37274, 283.86206, ..., 275.62585, 273.86707,\n",
-       "         275.65482],\n",
+       "       [[284.62152, 284.76785, 284.2655 , ..., 275.83783, 273.41733,\n",
+       "         276.06757],\n",
+       "        [284.55698, 284.80756, 284.18906, ..., 275.9442 , 273.43594,\n",
+       "         276.1406 ],\n",
+       "        [284.49756, 284.8503 , 284.11395, ..., 276.06525, 273.45877,\n",
+       "         276.2273 ],\n",
        "        ...,\n",
-       "        [285.16373, 287.19162, 284.84964, ..., 276.96033, 275.70172,\n",
-       "         276.63516],\n",
-       "        [285.2048 , 287.24725, 284.88138, ..., 276.99982, 275.67468,\n",
-       "         276.67117],\n",
-       "        [285.2454 , 287.30075, 284.91153, ..., 277.03848, 275.65695,\n",
-       "         276.7066 ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7579f688-c428-415b-aaee-fb0b5a5d787f' class='xr-section-summary-in' type='checkbox'  ><label for='section-7579f688-c428-415b-aaee-fb0b5a5d787f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9d4abc69-a465-4b3b-bec3-efb9517b0d73' class='xr-index-data-in' type='checkbox'/><label for='index-9d4abc69-a465-4b3b-bec3-efb9517b0d73' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
+       "        [284.6581 , 287.48547, 284.46747, ..., 281.11957, 275.93945,\n",
+       "         280.97552],\n",
+       "        [284.69403, 287.6275 , 284.49503, ..., 281.3473 , 275.96646,\n",
+       "         281.20264],\n",
+       "        [284.73032, 287.77243, 284.5214 , ..., 281.57776, 276.00928,\n",
+       "         281.43277]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8db59b1c-1c7e-4ff1-88b3-0eaac70b0915' class='xr-section-summary-in' type='checkbox'  ><label for='section-8db59b1c-1c7e-4ff1-88b3-0eaac70b0915' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b44ece6f-08f5-40c0-9de2-e7c2a239143f' class='xr-index-data-in' type='checkbox'/><label for='index-b44ece6f-08f5-40c0-9de2-e7c2a239143f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 50.0, 50.25,  50.5, 50.75,  51.0, 51.25,  51.5, 51.75,  52.0, 52.25,\n",
        "        52.5, 52.75,  53.0, 53.25,  53.5, 53.75,  54.0, 54.25,  54.5, 54.75,\n",
        "        55.0, 55.25,  55.5, 55.75,  56.0, 56.25,  56.5, 56.75,  57.0, 57.25,\n",
        "        57.5, 57.75],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-61a0bbb8-e325-4608-a5ae-2937eccb6a3b' class='xr-index-data-in' type='checkbox'/><label for='index-61a0bbb8-e325-4608-a5ae-2937eccb6a3b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cdc46d36-d72f-495b-a226-56d3b97b8ee1' class='xr-index-data-in' type='checkbox'/><label for='index-cdc46d36-d72f-495b-a226-56d3b97b8ee1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  -6.0, -5.875,  -5.75, -5.625,   -5.5, -5.375,  -5.25, -5.125,   -5.0,\n",
        "       -4.875,  -4.75, -4.625,   -4.5, -4.375,  -4.25, -4.125,   -4.0, -3.875,\n",
        "        -3.75, -3.625,   -3.5, -3.375,  -3.25, -3.125,   -3.0, -2.875,  -2.75,\n",
        "       -2.625,   -2.5, -2.375,  -2.25, -2.125,   -2.0, -1.875,  -1.75, -1.625,\n",
@@ -41078,16 +47293,18 @@
        "       -0.375,  -0.25, -0.125,    0.0,  0.125,   0.25,  0.375,    0.5,  0.625,\n",
        "         0.75,  0.875,    1.0,  1.125,   1.25,  1.375,    1.5,  1.625,   1.75,\n",
        "        1.875],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-700d3013-9eed-4112-ad3b-3104dfee7115' class='xr-index-data-in' type='checkbox'/><label for='index-700d3013-9eed-4112-ad3b-3104dfee7115' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;, &#x27;2022-01-01 02:00:00&#x27;,\n",
-       "       &#x27;2022-01-01 03:00:00&#x27;, &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,\n",
-       "       &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;, &#x27;2022-01-01 08:00:00&#x27;,\n",
-       "       &#x27;2022-01-01 09:00:00&#x27;,\n",
-       "       ...\n",
-       "       &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;, &#x27;2022-12-31 16:00:00&#x27;,\n",
-       "       &#x27;2022-12-31 17:00:00&#x27;, &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,\n",
-       "       &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 22:00:00&#x27;,\n",
-       "       &#x27;2022-12-31 23:00:00&#x27;],\n",
-       "      dtype=&#x27;object&#x27;, name=&#x27;time&#x27;, length=8760))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ad8aa02-3080-4497-8fd7-cda80e34a408' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3ad8aa02-3080-4497-8fd7-cda80e34a408' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c9c6ec09-163e-4a7c-ad8c-632c8e35b35d' class='xr-index-data-in' type='checkbox'/><label for='index-c9c6ec09-163e-4a7c-ad8c-632c8e35b35d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 03:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;,\n",
+       "               &#x27;2022-01-01 08:00:00&#x27;, &#x27;2022-01-01 09:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 16:00:00&#x27;, &#x27;2022-12-31 17:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;,\n",
+       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 23:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=8760, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-baf1735a-1485-4515-907d-eff5ed361618' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-baf1735a-1485-4515-907d-eff5ed361618' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -41095,12 +47312,12 @@
        "Coordinates:\n",
        "  * latitude   (latitude) float64 50.0 50.25 50.5 50.75 ... 57.25 57.5 57.75\n",
        "  * longitude  (longitude) float64 -6.0 -5.875 -5.75 -5.625 ... 1.625 1.75 1.875\n",
-       "  * time       (time) object '2022-01-01 00:00:00' ... '2022-12-31 23:00:00'\n",
+       "  * time       (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:00:00\n",
        "Data variables:\n",
-       "    t          (time, latitude, longitude) float32 286.3 286.9 ... 275.7 276.7"
+       "    t2m        (time, latitude, longitude) float32 285.8 286.8 ... 276.0 281.4"
       ]
      },
-     "execution_count": 63,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -41111,68 +47328,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "13008727",
-   "metadata": {
-    "hidden": true
-   },
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "id": "0ce3503d",
+   "execution_count": 23,
+   "id": "3c12a830",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T15:01:55.895224Z",
-     "start_time": "2023-09-02T15:01:55.890834Z"
+     "end_time": "2023-09-03T12:40:56.012861Z",
+     "start_time": "2023-09-03T12:40:55.530254Z"
     },
     "hidden": true
    },
    "outputs": [],
    "source": [
-    "# 重命名数据变量\n",
-    "# new_variable_names = {\n",
-    "#     't2m': 't',\n",
-    "# }\n",
-    "# ds_adjusted = ds_adjusted.rename(new_variable_names)\n",
-    "\n",
-    "# 重命名坐标\n",
-    "new_coord_names = {\n",
-    "    'lat': 'latitude',\n",
-    "    'lon': 'longitude',\n",
-    "    \n",
-    "}\n",
-    "# 使用.rename()方法来重命名坐标\n",
-    "ds_adjusted = ds_adjusted.rename(new_coord_names)"
+    "# 保存修改后的数据集\n",
+    "output_path =\"/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/da_test_data/asos_kridge_2022.nc\"\n",
+    "ds_adjusted.to_netcdf(output_path)  # 将'new_dataset.nc'替换为新的文件名  # poly"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
-   "id": "3c12a830",
+   "execution_count": 24,
+   "id": "d5ac3733",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2023-09-02T15:02:06.170474Z",
-     "start_time": "2023-09-02T15:02:05.587050Z"
+     "end_time": "2023-09-03T12:40:56.856497Z",
+     "start_time": "2023-09-03T12:40:56.563643Z"
     },
     "hidden": true
    },
    "outputs": [],
    "source": [
-    "# 保存修改后的数据集\n",
-    "output_path =\"/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/da_test_data/asos_kridge_2022.nc\"\n",
-    "ds_adjusted.to_netcdf(output_path)  # 将'new_dataset.nc'替换为新的文件名"
+    "output_path =\"/Users/ww721/JupyterNotebookPath/IRP_20220602/irp_ww721_bakcup/data/da_test_data/asos_kridge_2022_2.nc\"\n",
+    "ds_adjusted2.to_netcdf(output_path)  # 将'new_dataset.nc'替换为新的文件名 # north"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d5ac3733",
-   "metadata": {
-    "hidden": true
-   },
+   "id": "d23ed9d4",
+   "metadata": {},
    "outputs": [],
    "source": []
   }
@@ -41194,7 +47387,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.9.17"
   },
   "nbTranslate": {
    "displayLangs": [