Landmask.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "\n",
    "import cartopy.crs as ccrs\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA_ROOT_DIR = os.getcwd()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generate with:\n",
    "```bash\n",
    "cdo -P 8 -f nc2 -gtc,0 -remapcon,r2880x1440 -topo landmask.nc\n",
    "````\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "landmask2880x1440 = xr.open_dataset(os.path.join(f\"{DATA_ROOT_DIR}/landmask2880x1440.nc\"))\n",
    "landmask2880x1440[\"topo\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3240x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,10), dpi=216)\n",
    "ax = plt.subplot(projection=ccrs.PlateCarree())\n",
    "landmask2880x1440[\"topo\"].plot(add_colorbar=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating Custom Landmasks "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Global Land Sea Masks\n",
    "\n",
    "get high resolution mask\n",
    "> cdo -P 8 -f nc2 -gtc,0 -remapcon,r2880x1440 -topo landmask.nc\n",
    "\n",
    "get grid of gewünschte dataset\n",
    "> cdo -topo,glob_tas_yearmean_EUR_1971-2000.nc glob_targetGrid.nc\n",
    "\n",
    "set landmask grid \n",
    "> cdo remapbil,glob_targetGrid.nc landmask.nc landmask_glob_EUR.nc "
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python [conda env:.conda-Benjamin_Pyenv]",
   "language": "python",
   "name": "conda-env-.conda-Benjamin_Pyenv-py"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
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 },
 "nbformat": 4,
 "nbformat_minor": 4
}