{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {},
   "source": [
    "# Py-ART"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pyart\n",
    "import radarx as rx  # noqa\n",
    "import cmweather  # noqa\n",
    "import cartopy.crs as ccrs\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2",
   "metadata": {},
   "source": [
    "## Grid Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_lims = (-300e3, 250e3)\n",
    "y_lims = (-250e3, 300e3)\n",
    "z_lims = (0, 15e3)\n",
    "h_res = 2000\n",
    "v_res = 500"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5",
   "metadata": {},
   "outputs": [],
   "source": [
    "file = \"s3://noaa-nexrad-level2/2018/06/12/KSGF/KSGF20180612_083109_V06\"\n",
    "radar = pyart.io.read_nexrad_archive(file)\n",
    "filename = os.path.basename(file) + \".nc\"\n",
    "if not os.path.exists(filename):\n",
    "    pyart.io.write_cfradial(filename, radar)\n",
    "else:\n",
    "    print(\"Already present\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6",
   "metadata": {},
   "outputs": [],
   "source": [
    "tstart = datetime.now()\n",
    "# Grid using 11 vertical levels, and 101 horizontal grid cells at a resolution on 1 km\n",
    "grid = pyart.map.grid_from_radars(\n",
    "    (radar,),\n",
    "    grid_shape=(31, 276, 276),\n",
    "    grid_limits=(\n",
    "        z_lims,\n",
    "        y_lims,\n",
    "        x_lims,\n",
    "    ),\n",
    "    fields=[\"reflectivity\"],\n",
    ")\n",
    "\n",
    "xg = grid.to_xarray()\n",
    "print(\"Py-ART gridding took:\", datetime.now() - tstart)\n",
    "display(xg)\n",
    "del radar"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8",
   "metadata": {},
   "source": [
    "## Py-ART"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9",
   "metadata": {},
   "outputs": [],
   "source": [
    "xg.squeeze().radarx.plot_max_cappi(\n",
    "    data_var=\"reflectivity\",\n",
    "    vmin=-10,\n",
    "    vmax=70,\n",
    "    range_rings=True,\n",
    "    add_map=True,\n",
    "    projection=ccrs.PlateCarree(),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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