radar experiments.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import netCDF4\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import cartopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "d = netCDF4.Dataset(\"grid1.nc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "odict_keys(['time', 'x', 'y', 'z', 'origin_latitude', 'origin_longitude', 'origin_altitude', 'projection', 'ProjectionCoordinateSystem', 'radar_latitude', 'radar_longitude', 'radar_altitude', 'radar_time', 'radar_name', 'reflectivity', 'velocity', 'gate_id', 'differential_phase', 'ROI'])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.variables.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "odict_keys(['time', 'z', 'y', 'x', 'nradar', 'nradar_str_length'])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.dimensions.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "x, y, z = (d.variables[ax][:] for ax in 'xyz')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<class 'netCDF4._netCDF4.Variable'>\n",
       "int32 ProjectionCoordinateSystem()\n",
       "    latitude_of_projection_origin: 36.4912000112\n",
       "    longitude_of_projection_origin: -97.5939000025\n",
       "    _CoordinateTransformType: Projection\n",
       "    _CoordinateAxes: x y z time\n",
       "    _CoordinateAxesTypes: GeoX GeoY Height Time\n",
       "    grid_mapping_name: azimuthal_equidistant\n",
       "    semi_major_axis: 6370997.0\n",
       "    inverse_flattening: 298.25\n",
       "    longitude_of_prime_meridian: 0.0\n",
       "    false_easting: 0.0\n",
       "    false_northing: 0.0\n",
       "unlimited dimensions: \n",
       "current shape = ()\n",
       "filling on, default _FillValue of -2147483647 used"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.variables[\"ProjectionCoordinateSystem\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "ref = d.variables[\"reflectivity\"][:]\n",
    "lat = d.variables[\"radar_latitude\"][0]\n",
    "lon = d.variables[\"radar_longitude\"][0]\n",
    "\n",
    "plt.figure(figsize=(6, 3))\n",
    "ax = plt.axes(projection=cartopy.crs.Mollweide())\n",
    "#ax.set_global()\n",
    "ax.coastlines()\n",
    "\n",
    "buff = ref[0,...].T\n",
    "\n",
    "x0, x1 = x.min(), x.max()\n",
    "y0, y1 = y.min(), y.max()\n",
    "\n",
    "tmc = cartopy.crs.Orthographic(central_latitude=lat, central_longitude=lon)\n",
    "ax.imshow(buff.max(axis=2), extent = [x0, x1, y0, y1], transform=tmc)\n",
    "ax.set_xlim((x0, x1), transform=tmc)\n",
    "ax.set_ylim((y0, y1), transform=tmc)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat, lon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x, y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.imshow(buff.max(axis=2), extent = [x.min(), x.max(), y.min(), y.max()])"
   ]
  }
 ],
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