src/notebooks/data_collection/era5_download_T850_v2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7fa5130b-73d6-41fc-8fbf-1117f82439f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Name: Wenqi Wang\n",
    "# Github username: acse-ww721"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c0e6bb3d-b4ff-4ebe-9c8d-c759841172ff",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:35:15.062126Z",
     "start_time": "2023-08-26T11:35:15.055099Z"
    }
   },
   "outputs": [],
   "source": [
    "# Basic setting for Jupyter_notebook to import utils\n",
    "import os\n",
    "import sys\n",
    "\n",
    "notebook_path = os.path.abspath(\"\")\n",
    "project_root = os.path.abspath(os.path.join(notebook_path, \"../../\"))\n",
    "\n",
    "sys.path.append(project_root)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e2d77372-6e46-4fcb-bf1d-7dc4d55db3e3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:35:15.499414Z",
     "start_time": "2023-08-26T11:35:15.483810Z"
    }
   },
   "outputs": [],
   "source": [
    "import cdsapi\n",
    "import threading\n",
    "import time\n",
    "import os\n",
    "import sys\n",
    "from tqdm import tqdm\n",
    "# from utils import time_utils, folder_utils\n",
    "from concurrent.futures import ThreadPoolExecutor  # thread pool module"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ac93fff2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:35:16.011663Z",
     "start_time": "2023-08-26T11:35:15.990316Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_current_directory():\n",
    "    if \"__file__\" in globals():\n",
    "        # Running in a Python file\n",
    "        return os.path.abspath(os.path.dirname(__file__))\n",
    "    else:\n",
    "        # Running in a Jupyter Notebook\n",
    "        return os.path.abspath(os.path.dirname(\"\"))\n",
    "\n",
    "\n",
    "def find_folder(c, data_folder, data_category, output_folder):\n",
    "    # c: country list\n",
    "    current_directory = get_current_directory()\n",
    "    project_root = os.path.abspath(os.path.join(current_directory, \"..\", \".\"))\n",
    "    folder_name = f\"{c}_{output_folder}\"\n",
    "    folder_path = os.path.join(\n",
    "        project_root, data_folder, data_category, output_folder, folder_name\n",
    "    )\n",
    "\n",
    "    return folder_path\n",
    "\n",
    "\n",
    "def create_folder(c, data_folder, data_category, output_folder):\n",
    "    # c: country list\n",
    "    folder_path = find_folder(c, data_folder, data_category, output_folder)\n",
    "\n",
    "    try:\n",
    "        os.makedirs(folder_path, exist_ok=True)\n",
    "        print(f\"Folder '{folder_path}' created successfully.\")\n",
    "    except FileExistsError:\n",
    "        print(f\"Folder '{folder_path}' already exists.\")\n",
    "\n",
    "    return folder_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "bd85a757",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:35:16.490584Z",
     "start_time": "2023-08-26T11:35:16.479199Z"
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "def time_select(df, date_column, start_date, end_date):\n",
    "    df[date_column] = pd.to_datetime(df[date_column], format=\"%Y%m%d\")\n",
    "    filtered_df = df[(df[date_column] >= start_date) & (df[date_column] <= end_date)]\n",
    "    return filtered_df\n",
    "\n",
    "\n",
    "# Example\n",
    "# filtered_noaa_df = time_select(processed_df_noaa, \"DATE\", start_date, end_date)\n",
    "# filtered_asos_df = time_select(processed_df_asos, \"date\", start_date, end_date)\n",
    "\n",
    "\n",
    "def is_leap_year(year):\n",
    "    year = int(year)  # Convert the string to integer\n",
    "    return (year % 4 == 0 and year % 100 != 0) or (year % 400 == 0)\n",
    "\n",
    "\n",
    "def days_check(year, month):\n",
    "    year = int(year)  # Convert the string to integer\n",
    "    days_by_month = {\n",
    "        \"01\": 31,  # January\n",
    "        \"02\": 29 if is_leap_year(year) else 28,  # February\n",
    "        \"03\": 31,  # March\n",
    "        \"04\": 30,  # April\n",
    "        \"05\": 31,  # May\n",
    "        \"06\": 30,  # June\n",
    "        \"07\": 31,  # July\n",
    "        \"08\": 31,  # August\n",
    "        \"09\": 30,  # September\n",
    "        \"10\": 31,  # October\n",
    "        \"11\": 30,  # November\n",
    "        \"12\": 31,  # December\n",
    "    }\n",
    "\n",
    "    return [str(day).zfill(2) for day in range(1, days_by_month.get(month, 0) + 1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9d10fc44-1ee4-497d-97e3-a657c6a7b3ee",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:35:18.465305Z",
     "start_time": "2023-08-26T11:35:18.460686Z"
    }
   },
   "outputs": [],
   "source": [
    "# folder setting\n",
    "country = \"GB\"\n",
    "\n",
    "data_folder = \"data\"\n",
    "data_category = \"raw_data\"\n",
    "output_folder = \"ERA5_DATA\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c3e7c304",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:34:53.676503Z",
     "start_time": "2023-08-26T11:34:53.661284Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'F:\\\\JuPyterNotebook\\\\data\\\\raw_data\\\\ERA5_DATA\\\\GB_ERA5_DATA'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input = create_folder(country,data_folder,data_category,output_folder)\n",
    "input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "7875ecf4-a9ca-472b-bbf3-e9921dc09114",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:35:20.137725Z",
     "start_time": "2023-08-26T11:35:20.126387Z"
    }
   },
   "outputs": [],
   "source": [
    "# variable setting\n",
    "data_year = [  # the target years\n",
    "    \"1979\",\n",
    "    \"1980\",\n",
    "    \"1981\",\n",
    "    \"1982\",\n",
    "    \"1983\",\n",
    "    \"1984\",\n",
    "    \"1985\",\n",
    "    \"1986\",\n",
    "    \"1987\",\n",
    "    \"1988\",\n",
    "    \"1989\",\n",
    "    \"1990\",\n",
    "    \"1991\",\n",
    "    \"1992\",\n",
    "    \"1993\",\n",
    "    \"1994\",\n",
    "    \"1995\",\n",
    "    \"1996\",\n",
    "    \"1997\",\n",
    "    \"1998\",\n",
    "    \"1999\",\n",
    "    \"2000\",\n",
    "    \"2001\",\n",
    "    \"2002\",\n",
    "    \"2003\",\n",
    "    \"2004\",\n",
    "    \"2005\",\n",
    "    \"2006\",\n",
    "    \"2007\",\n",
    "    \"2008\",\n",
    "    \"2009\",\n",
    "    \"2010\",\n",
    "    \"2011\",\n",
    "    \"2012\",\n",
    "    \"2013\",\n",
    "    \"2014\",\n",
    "    \"2015\",\n",
    "    \"2016\",\n",
    "    \"2017\",\n",
    "    \"2018\",\n",
    "    \"2019\",\n",
    "    \"2020\",\n",
    "    \"2021\",\n",
    "    \"2022\",\n",
    "]\n",
    "\n",
    "data_month = [  # the target months\n",
    "    \"01\",\n",
    "    \"02\",\n",
    "    \"03\",\n",
    "    \"04\",\n",
    "    \"05\",\n",
    "    \"06\",\n",
    "    \"07\",\n",
    "    \"08\",\n",
    "    \"09\",\n",
    "    \"10\",\n",
    "    \"11\",\n",
    "    \"12\",\n",
    "]\n",
    "\n",
    "data_day = [\n",
    "    \"01\",\n",
    "    \"02\",\n",
    "    \"03\",\n",
    "    \"04\",\n",
    "    \"05\",\n",
    "    \"06\",\n",
    "    \"07\",\n",
    "    \"08\",\n",
    "    \"09\",\n",
    "    \"10\",\n",
    "    \"11\",\n",
    "    \"12\",\n",
    "    \"13\",\n",
    "    \"14\",\n",
    "    \"15\",\n",
    "    \"16\",\n",
    "    \"17\",\n",
    "    \"18\",\n",
    "    \"19\",\n",
    "    \"20\",\n",
    "    \"21\",\n",
    "    \"22\",\n",
    "    \"23\",\n",
    "    \"24\",\n",
    "    \"25\",\n",
    "    \"26\",\n",
    "    \"27\",\n",
    "    \"28\",\n",
    "    \"29\",\n",
    "    \"30\",\n",
    "    \"31\",\n",
    "]  # the target day  # s\n",
    "\n",
    "\n",
    "data_time = [  # the target times_UTC\n",
    "    \"00:00\",\n",
    "    \"01:00\",\n",
    "    \"02:00\",\n",
    "    \"03:00\",\n",
    "    \"04:00\",\n",
    "    \"05:00\",\n",
    "    \"06:00\",\n",
    "    \"07:00\",\n",
    "    \"08:00\",\n",
    "    \"09:00\",\n",
    "    \"10:00\",\n",
    "    \"11:00\",\n",
    "    \"12:00\",\n",
    "    \"13:00\",\n",
    "    \"14:00\",\n",
    "    \"15:00\",\n",
    "    \"16:00\",\n",
    "    \"17:00\",\n",
    "    \"18:00\",\n",
    "    \"19:00\",\n",
    "    \"20:00\",\n",
    "    \"21:00\",\n",
    "    \"22:00\",\n",
    "    \"23:00\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1e4c5104-3d10-4530-aa4c-387508fdf97d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:35:21.256913Z",
     "start_time": "2023-08-26T11:35:21.238745Z"
    }
   },
   "outputs": [],
   "source": [
    "# 1,571,328 > 120,000 per time\n",
    "\n",
    "# dataset setting\n",
    "dataset = \"reanalysis-era5-pressure-levels\"\n",
    "variable_list = [\n",
    "    \"temperature\", # priority download T850\n",
    "    # \"relative_humidity\",\n",
    "    # 'geopotential', the common variable for weather forecasting\n",
    "    # \"specific_humidity\",\n",
    "]\n",
    "\n",
    "pressure_level = \"850\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "dbe55c44-3409-47e0-95c5-8ca9ca4fda9e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:35:21.737875Z",
     "start_time": "2023-08-26T11:35:21.730876Z"
    }
   },
   "outputs": [],
   "source": [
    "area_uk = [\n",
    "    58,\n",
    "    -7,\n",
    "    50,\n",
    "    2,\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "78ef8a1b-22c8-4182-9ff8-5d4d7cfb19fc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:48:02.433928Z",
     "start_time": "2023-08-26T11:48:02.424209Z"
    }
   },
   "outputs": [],
   "source": [
    "def era5_get_data_t850(c, dataset, variable_list, year, month):\n",
    "    # download the whole year data\n",
    "    try:\n",
    "        output_directory = create_folder(\n",
    "            country, data_folder, data_category, output_folder\n",
    "        )\n",
    "        output_filename = f\"era5_pressure_level_{year}_{month}_{pressure_level}.nc\"\n",
    "        output_filepath = os.path.join(output_directory, output_filename)\n",
    "        c.retrieve(\n",
    "            dataset,\n",
    "            {\n",
    "                \"product_type\": \"reanalysis\",\n",
    "                \"format\": \"netcdf\",\n",
    "                \"variable\":'temperature',\n",
    "                \"pressure_level\": '850',\n",
    "                \"year\": year,\n",
    "                \"month\": month,\n",
    "                \"day\": days_check(year, month),\n",
    "                \"time\": data_time,\n",
    "                \"area\": area_uk,\n",
    "            },\n",
    "            output_filepath,\n",
    "        )\n",
    "\n",
    "        print(f\"{output_filename} done!\")\n",
    "\n",
    "    except Exception as e:\n",
    "        print(f\"Error downloading {output_filename}: {e}\\n\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "e0615c48",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:39:47.672332Z",
     "start_time": "2023-08-26T11:39:47.657908Z"
    }
   },
   "outputs": [],
   "source": [
    "# 44*12 =528"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "89674832-2f9a-4ac9-81a3-bf7f3c8d9f4a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:47:13.547748Z",
     "start_time": "2023-08-26T11:47:13.533714Z"
    }
   },
   "outputs": [],
   "source": [
    "def thread_function(year, month):\n",
    "    c = cdsapi.Client()  # Initialize client within the thread\n",
    "\n",
    "    start_time = time.time()  # Record start time\n",
    "    era5_get_data_t850(\n",
    "        c,\n",
    "        dataset,\n",
    "        variable_list,\n",
    "        year,\n",
    "        month,\n",
    "    )\n",
    "    end_time = time.time()  # Record end time\n",
    "    run_time = end_time - start_time\n",
    "    print(f\"Download time: {run_time:.3f} s\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "247b117e-e56e-4cf6-9701-6c188f45fdd8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:41:51.362023Z",
     "start_time": "2023-08-26T11:41:51.311558Z"
    },
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "# Create a thread pool  # 8 threads\n",
    "with ThreadPoolExecutor(max_workers=2) as executor:\n",
    "    # iterate through the data_year and data month to be the most efficient\n",
    "    for i in data_year:\n",
    "        for k in data_month:\n",
    "            executor.submit(thread_function, i, k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "e206502d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T19:12:15.876911Z",
     "start_time": "2023-08-26T11:48:07.847604Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 12:48:08,016 INFO Welcome to the CDS\n",
      "2023-08-26 12:48:08,016 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 12:48:08,087 INFO Request is queued\n",
      "2023-08-26 12:48:09,139 INFO Request is running\n",
      "2023-08-26 12:48:57,704 INFO Request is completed\n",
      "2023-08-26 12:48:57,706 INFO Downloading https://download-0003-clone.copernicus-climate.eu/cache-compute-0003/cache/data6/adaptor.mars.internal-1693050523.9571652-30807-11-9f2e4cee-f5dd-4cb7-bd14-d8cfa9322780.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_1979_01_850.nc (1.7M)\n",
      "2023-08-26 12:48:58,194 INFO Download rate 3.6M/s                                                                      \n",
      "2023-08-26 12:48:58,280 INFO Welcome to the CDS\n",
      "2023-08-26 12:48:58,281 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 12:48:58,357 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_1979_01_850.nc done!\n",
      "Download time: 50.386 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 12:48:59,398 INFO Request is running\n",
      "2023-08-26 12:49:47,979 INFO Request is completed\n",
      "2023-08-26 12:49:47,979 INFO Downloading https://download-0020.copernicus-climate.eu/cache-compute-0020/cache/data2/adaptor.mars.internal-1693050574.4731333-15978-19-7f221243-4610-42b1-919f-0423ea92b380.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_1979_02_850.nc (1.6M)\n",
      "2023-08-26 12:49:48,475 INFO Download rate 3.2M/s                                                                      \n",
      "2023-08-26 12:49:48,558 INFO Welcome to the CDS\n",
      "2023-08-26 12:49:48,560 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 12:49:48,633 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_1979_02_850.nc done!\n",
      "Download time: 50.275 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 12:49:49,664 INFO Request is running\n",
      "2023-08-26 12:50:38,253 INFO Request is completed\n",
      "2023-08-26 12:50:38,253 INFO Downloading https://download-0007-clone.copernicus-climate.eu/cache-compute-0007/cache/data1/adaptor.mars.internal-1693050629.1383498-10074-11-18b6c957-91e2-462d-a26e-48499c3ddcd5.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_1979_03_850.nc (1.7M)\n",
      "2023-08-26 12:50:38,746 INFO Download rate 3.6M/s                                                                      \n",
      "2023-08-26 12:50:38,826 INFO Welcome to the CDS\n",
      "2023-08-26 12:50:38,826 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 12:50:38,905 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_1979_03_850.nc done!\n",
      "Download time: 50.273 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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      "2023-08-26 12:51:28,505 INFO Request is completed\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_2022_01_850.nc done!\n",
      "Download time: 50.511 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 20:03:03,684 INFO Request is running\n",
      "2023-08-26 20:03:52,246 INFO Request is completed\n",
      "2023-08-26 20:03:52,246 INFO Downloading https://download-0020.copernicus-climate.eu/cache-compute-0020/cache/data5/adaptor.mars.internal-1693076627.629504-18507-6-5c72bdc7-788a-41d9-ae9a-936d8f16bc62.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_2022_02_850.nc (1.6M)\n",
      "2023-08-26 20:03:52,799 INFO Download rate 2.9M/s                                                                      \n",
      "2023-08-26 20:03:52,888 INFO Welcome to the CDS\n",
      "2023-08-26 20:03:52,888 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 20:03:52,951 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_2022_02_850.nc done!\n",
      "Download time: 50.338 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 20:03:53,983 INFO Request is running\n",
      "2023-08-26 20:04:42,543 INFO Request is completed\n",
      "2023-08-26 20:04:42,543 INFO Downloading https://download-0001-clone.copernicus-climate.eu/cache-compute-0001/cache/data0/adaptor.mars.internal-1693076674.306426-24071-1-b7e2326d-e078-4af7-b229-6edec6ad8ecf.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_2022_03_850.nc (1.7M)\n",
      "2023-08-26 20:04:43,124 INFO Download rate 3.1M/s                                                                      \n",
      "2023-08-26 20:04:43,209 INFO Welcome to the CDS\n",
      "2023-08-26 20:04:43,209 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 20:04:43,318 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_2022_03_850.nc done!\n",
      "Download time: 50.320 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 20:04:44,384 INFO Request is running\n",
      "2023-08-26 20:05:32,921 INFO Request is completed\n",
      "2023-08-26 20:05:32,921 INFO Downloading https://download-0002-clone.copernicus-climate.eu/cache-compute-0002/cache/data5/adaptor.mars.internal-1693076720.3093028-7707-2-69867cb0-43f0-4b89-8bbf-926e47782de2.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_2022_04_850.nc (1.7M)\n",
      "2023-08-26 20:05:33,479 INFO Download rate 3M/s                                                                        \n",
      "2023-08-26 20:05:33,560 INFO Welcome to the CDS\n",
      "2023-08-26 20:05:33,560 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 20:05:33,671 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_2022_04_850.nc done!\n",
      "Download time: 50.352 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 20:05:34,716 INFO Request is running\n",
      "2023-08-26 20:06:23,272 INFO Request is completed\n",
      "2023-08-26 20:06:23,272 INFO Downloading https://download-0021.copernicus-climate.eu/cache-compute-0021/cache/data6/adaptor.mars.internal-1693076771.59961-18263-2-15f1207b-0be2-471c-9d95-e6ce401d26e3.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_2022_05_850.nc (1.7M)\n",
      "2023-08-26 20:06:23,778 INFO Download rate 3.4M/s                                                                      \n",
      "2023-08-26 20:06:23,867 INFO Welcome to the CDS\n",
      "2023-08-26 20:06:23,867 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 20:06:23,964 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_2022_05_850.nc done!\n",
      "Download time: 50.293 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 20:06:25,004 INFO Request is running\n",
      "2023-08-26 20:07:13,553 INFO Request is completed\n",
      "2023-08-26 20:07:13,553 INFO Downloading https://download-0008-clone.copernicus-climate.eu/cache-compute-0008/cache/data3/adaptor.mars.internal-1693076819.3786128-29088-5-f843f95b-9e89-4a07-9e53-5973032275e5.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_2022_06_850.nc (1.7M)\n",
      "2023-08-26 20:07:14,105 INFO Download rate 3.1M/s                                                                      \n",
      "2023-08-26 20:07:14,187 INFO Welcome to the CDS\n",
      "2023-08-26 20:07:14,187 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 20:07:14,267 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_2022_06_850.nc done!\n",
      "Download time: 50.317 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 20:07:15,321 INFO Request is running\n",
      "2023-08-26 20:08:03,889 INFO Request is completed\n",
      "2023-08-26 20:08:03,889 INFO Downloading https://download-0002-clone.copernicus-climate.eu/cache-compute-0002/cache/data5/adaptor.mars.internal-1693076871.7663817-6267-8-00be604a-70de-4293-b86d-3877e0bfa2df.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_2022_07_850.nc (1.7M)\n",
      "2023-08-26 20:08:04,516 INFO Download rate 2.8M/s                                                                      \n",
      "2023-08-26 20:08:04,603 INFO Welcome to the CDS\n",
      "2023-08-26 20:08:04,603 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 20:08:04,683 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_2022_07_850.nc done!\n",
      "Download time: 50.403 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 20:08:05,720 INFO Request is running\n",
      "2023-08-26 20:08:54,261 INFO Request is completed\n",
      "2023-08-26 20:08:54,261 INFO Downloading https://download-0001-clone.copernicus-climate.eu/cache-compute-0001/cache/data3/adaptor.mars.internal-1693076925.189758-29500-3-974dda4e-d5d2-4fcb-8712-06971a87650b.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_2022_08_850.nc (1.7M)\n",
      "2023-08-26 20:08:54,752 INFO Download rate 3.5M/s                                                                      \n",
      "2023-08-26 20:08:54,843 INFO Welcome to the CDS\n",
      "2023-08-26 20:08:54,844 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 20:08:54,904 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_2022_08_850.nc done!\n",
      "Download time: 50.240 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 20:08:55,939 INFO Request is running\n",
      "2023-08-26 20:09:44,554 INFO Request is completed\n",
      "2023-08-26 20:09:44,554 INFO Downloading https://download-0001-clone.copernicus-climate.eu/cache-compute-0001/cache/data7/adaptor.mars.internal-1693076974.9491122-23977-7-9bf5f028-38c2-4d2d-b6f2-a5bc2811aec7.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_2022_09_850.nc (1.7M)\n",
      "2023-08-26 20:09:44,909 INFO Download rate 4.7M/s                                                                      \n",
      "2023-08-26 20:09:44,996 INFO Welcome to the CDS\n",
      "2023-08-26 20:09:44,996 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 20:09:45,102 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_2022_09_850.nc done!\n",
      "Download time: 50.150 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 20:09:46,139 INFO Request is running\n",
      "2023-08-26 20:10:34,830 INFO Request is completed\n",
      "2023-08-26 20:10:34,830 INFO Downloading https://download-0013-clone.copernicus-climate.eu/cache-compute-0013/cache/data3/adaptor.mars.internal-1693077026.0059783-4825-7-e505b04f-8b9e-401b-bc63-bf1af1879a27.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_2022_10_850.nc (1.7M)\n",
      "2023-08-26 20:10:35,344 INFO Download rate 3.5M/s                                                                      \n",
      "2023-08-26 20:10:35,424 INFO Welcome to the CDS\n",
      "2023-08-26 20:10:35,424 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 20:10:35,501 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_2022_10_850.nc done!\n",
      "Download time: 50.432 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 20:10:36,549 INFO Request is running\n",
      "2023-08-26 20:11:25,083 INFO Request is completed\n",
      "2023-08-26 20:11:25,083 INFO Downloading https://download-0014-clone.copernicus-climate.eu/cache-compute-0014/cache/data2/adaptor.mars.internal-1693077071.1071901-15226-14-1258ecb5-30ab-4ada-a320-2cc86c6b6985.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_2022_11_850.nc (1.7M)\n",
      "2023-08-26 20:11:25,549 INFO Download rate 3.6M/s                                                                      \n",
      "2023-08-26 20:11:25,670 INFO Welcome to the CDS\n",
      "2023-08-26 20:11:25,670 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 20:11:25,747 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_2022_11_850.nc done!\n",
      "Download time: 50.245 s\n",
      "Folder 'F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA' created successfully.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 20:11:26,786 INFO Request is running\n",
      "2023-08-26 20:12:15,344 INFO Request is completed\n",
      "2023-08-26 20:12:15,344 INFO Downloading https://download-0009-clone.copernicus-climate.eu/cache-compute-0009/cache/data1/adaptor.mars.internal-1693077119.5366566-12224-7-5dccc770-1670-4ff4-8231-0ece4686efd8.nc to F:\\JuPyterNotebook\\data\\raw_data\\ERA5_DATA\\GB_ERA5_DATA\\era5_pressure_level_2022_12_850.nc (1.7M)\n",
      "2023-08-26 20:12:15,826 INFO Download rate 3.7M/s                                                                      \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "era5_pressure_level_2022_12_850.nc done!\n",
      "Download time: 50.239 s\n"
     ]
    }
   ],
   "source": [
    "for i in data_year:\n",
    "    for k in data_month:\n",
    "       thread_function(i, k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "21d02057",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-26T11:39:52.826152Z",
     "start_time": "2023-08-26T11:39:52.319526Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-26 12:39:52,479 INFO Welcome to the CDS\n",
      "2023-08-26 12:39:52,479 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-pressure-levels\n",
      "2023-08-26 12:39:52,624 INFO Request is completed\n",
      "2023-08-26 12:39:52,625 INFO Downloading https://download-0016.copernicus-climate.eu/cache-compute-0016/cache/data7/adaptor.mars.internal-1693049886.692061-15368-8-2ca281e4-d5a0-429e-b947-f2b2c9eb8759.nc to download.nc (3.7K)\n",
      "2023-08-26 12:39:52,807 INFO Download rate 20.3K/s                                                                     \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Result(content_length=3764,content_type=application/x-netcdf,location=https://download-0016.copernicus-climate.eu/cache-compute-0016/cache/data7/adaptor.mars.internal-1693049886.692061-15368-8-2ca281e4-d5a0-429e-b947-f2b2c9eb8759.nc)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# TEST CDS API LINK\n",
    "import cdsapi\n",
    "\n",
    "c = cdsapi.Client()\n",
    "\n",
    "c.retrieve(\n",
    "    'reanalysis-era5-pressure-levels',\n",
    "    {\n",
    "        'product_type': 'reanalysis',\n",
    "        'format': 'netcdf',\n",
    "        'variable': 'temperature',\n",
    "        'pressure_level': '850',\n",
    "        'year': '2021',\n",
    "        'month': '01',\n",
    "        'day': '01',\n",
    "        'time': '00:00',\n",
    "        'area': [\n",
    "            58, -7, 50,\n",
    "            1.75,\n",
    "        ],\n",
    "    },\n",
    "    'download.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67400665-054c-406b-bde1-1d6f58af6535",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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   "file_extension": ".py",
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   "name": "python",
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   "base_numbering": 1,
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   "number_sections": true,
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   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
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   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
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   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
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     "varRefreshCmd": "print(var_dic_list())"
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    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
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   "window_display": false
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 },
 "nbformat": 4,
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