python-awips/examples/notebooks/Precip_Accumulation_Region_of_Interest.ipynb

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    "<a name=\"top\"></a>\n",
    "<div style=\"width:1000 px\">\n",
    "\n",
    "<div style=\"float:right; width:98 px; height:98px;\">\n",
    "<img src=\"https://docs.unidata.ucar.edu/images/logos/unidata_logo_vertical_150x150.png\" alt=\"Unidata Logo\" style=\"height: 98px;\">\n",
    "</div>\n",
    "\n",
    "# Precipitation Accumulation Region of Interest\n",
    "**Python-AWIPS Tutorial Notebook**\n",
    "\n",
    "<div style=\"clear:both\"></div>\n",
    "</div>\n",
    "\n",
    "---\n",
    "\n",
    "<div style=\"float:right; width:250 px\"><img src=\"../images/precip_roi_preview.png\" alt=\"Colorized Precipation Accumulation with Identified Region of Interest\" style=\"height: 300px;\"></div>\n",
    "\n",
    "\n",
    "# Objectives\n",
    "\n",
    "* Access the model data from an EDEX server and limit the data returned by using model specific parameters\n",
    "* Calculate the total precipitation over several model runs\n",
    "* Create a colorized plot for the continental US of the accumulated precipitation data\n",
    "* Calculate and identify area of highest of precipitation\n",
    "* Use higher resolution data to draw region of interest\n",
    "\n",
    "---"
   ]
  },
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    "toc": true
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   "source": [
    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Imports\" data-toc-modified-id=\"Imports-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Imports</a></span></li><li><span><a href=\"#Initial-Setup\" data-toc-modified-id=\"Initial-Setup-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Initial Setup</a></span><ul class=\"toc-item\"><li><span><a href=\"#Geographic-Filter\" data-toc-modified-id=\"Geographic-Filter-2.1\"><span class=\"toc-item-num\">2.1&nbsp;&nbsp;</span>Geographic Filter</a></span></li><li><span><a href=\"#EDEX-Connection\" data-toc-modified-id=\"EDEX-Connection-2.2\"><span class=\"toc-item-num\">2.2&nbsp;&nbsp;</span>EDEX Connection</a></span></li><li><span><a href=\"#Refine-the-Request\" data-toc-modified-id=\"Refine-the-Request-2.3\"><span class=\"toc-item-num\">2.3&nbsp;&nbsp;</span>Refine the Request</a></span></li><li><span><a href=\"#Get-Times\" data-toc-modified-id=\"Get-Times-2.4\"><span class=\"toc-item-num\">2.4&nbsp;&nbsp;</span>Get Times</a></span></li></ul></li><li><span><a href=\"#Function:-calculate_accumulated_precip()\" data-toc-modified-id=\"Function:-calculate_accumulated_precip()-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Function: calculate_accumulated_precip()</a></span></li><li><span><a href=\"#Fuction:-make_map()\" data-toc-modified-id=\"Fuction:-make_map()-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>Fuction: make_map()</a></span></li><li><span><a href=\"#Get-the-Data!\" data-toc-modified-id=\"Get-the-Data!-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>Get the Data!</a></span></li><li><span><a href=\"#Plot-the-Data!\" data-toc-modified-id=\"Plot-the-Data!-6\"><span class=\"toc-item-num\">6&nbsp;&nbsp;</span>Plot the Data!</a></span><ul class=\"toc-item\"><li><span><a href=\"#Create-CONUS-Image\" data-toc-modified-id=\"Create-CONUS-Image-6.1\"><span class=\"toc-item-num\">6.1&nbsp;&nbsp;</span>Create CONUS Image</a></span></li><li><span><a href=\"#Create-Region-of-Interest-Image\" data-toc-modified-id=\"Create-Region-of-Interest-Image-6.2\"><span class=\"toc-item-num\">6.2&nbsp;&nbsp;</span>Create Region of Interest Image</a></span></li></ul></li><li><span><a href=\"#High-Resolution-ROI\" data-toc-modified-id=\"High-Resolution-ROI-7\"><span class=\"toc-item-num\">7&nbsp;&nbsp;</span>High Resolution ROI</a></span><ul class=\"toc-item\"><li><span><a href=\"#New-Data-Request\" data-toc-modified-id=\"New-Data-Request-7.1\"><span class=\"toc-item-num\">7.1&nbsp;&nbsp;</span>New Data Request</a></span></li><li><span><a href=\"#Calculate-Data\" data-toc-modified-id=\"Calculate-Data-7.2\"><span class=\"toc-item-num\">7.2&nbsp;&nbsp;</span>Calculate Data</a></span></li><li><span><a href=\"#Plot-ROI\" data-toc-modified-id=\"Plot-ROI-7.3\"><span class=\"toc-item-num\">7.3&nbsp;&nbsp;</span>Plot ROI</a></span></li></ul></li><li><span><a href=\"#See-Also\" data-toc-modified-id=\"See-Also-8\"><span class=\"toc-item-num\">8&nbsp;&nbsp;</span>See Also</a></span><ul class=\"toc-item\"><li><span><a href=\"#Related-Notebooks\" data-toc-modified-id=\"Related-Notebooks-8.1\"><span class=\"toc-item-num\">8.1&nbsp;&nbsp;</span>Related Notebooks</a></span></li><li><span><a href=\"#Additional-Documentation\" data-toc-modified-id=\"Additional-Documentation-8.2\"><span class=\"toc-item-num\">8.2&nbsp;&nbsp;</span>Additional Documentation</a></span></li></ul></li></ul></div>"
   ]
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   "metadata": {},
   "source": [
    "## Imports\n",
    "\n",
    "The imports below are used throughout the notebook. Note the first import is coming directly from python-awips and allows us to connect to an EDEX server. The subsequent imports are for data manipulation and visualization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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   "outputs": [],
   "source": [
    "from awips.dataaccess import DataAccessLayer\n",
    "import cartopy.crs as ccrs\n",
    "import matplotlib.pyplot as plt\n",
    "from metpy.units import units\n",
    "import numpy as np\n",
    "from shapely.geometry import Point, Polygon"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"#top\">Top</a>\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initial Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Geographic Filter\n",
    "\n",
    "By defining a bounding box for the Continental US (CONUS), we’re able to optimize the data request sent to the EDEX server."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "conus=[-125, -65, 25, 55]\n",
    "conus_envelope = Polygon([(conus[0],conus[2]),(conus[0],conus[3]),\n",
    "                          (conus[1],conus[3]),(conus[1],conus[2]),\n",
    "                          (conus[0],conus[2])])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### EDEX Connection\n",
    "\n",
    "First we establish a connection to Unidata’s public EDEX server. With that connection made, we can create a [new data request object](http://unidata.github.io/python-awips/api/IDataRequest.html) and set the data type to **grid**, and use the geographic envelope we just created."
   ]
  },
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "DataAccessLayer.changeEDEXHost(\"edex-beta.unidata.ucar.edu\")\n",
    "request = DataAccessLayer.newDataRequest(\"grid\", envelope=conus_envelope)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Refine the Request\n",
    "\n",
    "Here we specify which model we're interested in by setting the *LocationNames*, and the specific data we're interested in by setting the *Levels* and *Parameters*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "request.setLocationNames(\"GFS1p0\")\n",
    "request.setLevels(\"0.0SFC\")\n",
    "request.setParameters(\"TP\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get Times\n",
    "\n",
    "We need to get the available times and cycles for our model data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "cycles = DataAccessLayer.getAvailableTimes(request, True)\n",
    "times = DataAccessLayer.getAvailableTimes(request)\n",
    "fcstRun = DataAccessLayer.getForecastRun(cycles[-1], times)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"#top\">Top</a>\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Function: calculate_accumulated_precip()\n",
    "\n",
    "Since we'll want to calculate the accumulated precipitation of our data more than once, it makes sense to create a function that we can call instead of duplicating the logic.\n",
    "\n",
    "This function cycles through all the grid data responses and adds up all of the rainfall to produce a numpy array with the total ammount of rainfall for the given data request.  It also finds the maximum rainfall point in x and y coordinates."
   ]
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   "source": [
    "def calculate_accumulated_precip(dataRequest, forecastRun):\n",
    "\n",
    "    for i, tt in enumerate(forecastRun):\n",
    "        response = DataAccessLayer.getGridData(dataRequest, [tt])\n",
    "        grid = response[0]\n",
    "        if i>0:\n",
    "            data += grid.getRawData()\n",
    "        else:\n",
    "            data = grid.getRawData()\n",
    "        data[data <= -9999] = 0\n",
    "        print(data.min(), data.max(), grid.getDataTime().getFcstTime()/3600)\n",
    "\n",
    "    # Convert from mm to inches\n",
    "    result = (data * units.mm).to(units.inch)\n",
    "    \n",
    "    ii,jj = np.where(result==result.max())\n",
    "    i=ii[0]\n",
    "    j=jj[0]\n",
    "\n",
    "    return result, i, j"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"#top\">Top</a>\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fuction: make_map()\n",
    "\n",
    "This function creates the basics of the map we're going to plot our data on. It takes in a bounding box to determine the extent and then adds coastlines for easy frame of reference."
   ]
  },
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   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_map(bbox, projection=ccrs.PlateCarree()):\n",
    "    fig, ax = plt.subplots(figsize=(20, 14),\n",
    "            subplot_kw=dict(projection=projection))\n",
    "    ax.set_extent(bbox)\n",
    "    ax.coastlines(resolution='50m')\n",
    "    return fig, ax"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"#top\">Top</a>\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get the Data!\n",
    "\n",
    "Access the data from the DataAccessLayer interface using the *getGridData* function.  Use that data to calculate the accumulated rainfall, the maximum rainfall point, and the region of interest bounding box."
   ]
  },
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     "text": [
      "0.0 18.75 6.0\n",
      "0.0 24.5625 12.0\n",
      "0.0 40.875 18.0\n",
      "0.0 65.125 24.0\n",
      "0.0 76.9375 30.0\n",
      "0.0 80.3125 36.0\n",
      "0.0 80.3125 42.0\n",
      "0.0 80.3125 48.0\n",
      "0.0 80.3125 54.0\n",
      "0.0 80.3125 60.0\n",
      "0.0 80.9375 66.0\n",
      "0.0 84.375 72.0\n",
      "0.0 92.0 78.0\n",
      "0.0 95.5 84.0\n",
      "0.0 95.75 90.0\n",
      "0.0 96.3125 96.0\n",
      "0.0 96.375 102.0\n",
      "0.0 96.375 108.0\n",
      "0.0 96.4375 114.0\n",
      "0.0 96.625 120.0\n",
      "0.0 96.625 126.0\n",
      "0.0 96.625 132.0\n",
      "0.0 97.4375 138.0\n",
      "0.0 102.625 144.0\n",
      "0.0 104.4375 150.0\n",
      "0.0 109.25 156.0\n",
      "0.0 109.625 162.0\n",
      "0.0 113.25 168.0\n",
      "0.0 127.625 174.0\n",
      "0.0 142.8125 180.0\n",
      "0.0 156.1875 186.0\n",
      "0.0 156.25 192.0\n",
      "0.0 156.75 198.0\n",
      "0.0 157.1875 204.0\n",
      "0.0 157.1875 210.0\n",
      "0.0 157.1875 216.0\n",
      "0.0 157.25 222.0\n",
      "0.0 161.4375 228.0\n",
      "0.0 164.6875 234.0\n",
      "0.0 165.0 240.0\n",
      "0.0 inch 6.496062755584717 inch\n",
      "POINT (-84 35)\n"
     ]
    }
   ],
   "source": [
    "## get the grid response from edex\n",
    "response = DataAccessLayer.getGridData(request, [fcstRun[-1]])    \n",
    "## take the first result to get the location information from\n",
    "grid = response[0]\n",
    "\n",
    "## get the location coordinates and create a bounding box for our map\n",
    "lons, lats = grid.getLatLonCoords()\n",
    "bbox = [lons.min(), lons.max(), lats.min(), lats.max()]\n",
    "fcstHr = int(grid.getDataTime().getFcstTime()/3600)\n",
    "\n",
    "## calculate the total precipitation\n",
    "tp_inch, i, j = calculate_accumulated_precip(request, fcstRun)\n",
    "print(tp_inch.min(), tp_inch.max())\n",
    "\n",
    "## use the max points coordinates to get the max point in lat/lon coords\n",
    "maxPoint = Point(lons[i][j], lats[i][j])\n",
    "inc = 3.5\n",
    "## create a region of interest bounding box\n",
    "roi_box=[maxPoint.x-inc, maxPoint.x+inc, maxPoint.y-inc, maxPoint.y+inc]\n",
    "roi_polygon = Polygon([(roi_box[0],roi_box[2]),(roi_box[0],roi_box[3]), \n",
    "                (roi_box[1],roi_box[3]),(roi_box[1],roi_box[2]),(roi_box[0],roi_box[2])])\n",
    "\n",
    "print(maxPoint)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"#top\">Top</a>\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot the Data!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create CONUS Image\n",
    "\n",
    "Plot our data on our CONUS map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmap = plt.get_cmap('rainbow')\n",
    "fig, ax = make_map(bbox=bbox)\n",
    "cs = ax.pcolormesh(lons, lats, tp_inch, cmap=cmap)\n",
    "cbar = fig.colorbar(cs, shrink=0.7, orientation='horizontal')\n",
    "cbar.set_label(grid.getLocationName() + \" Total accumulated precipitation in inches, \" \\\n",
    "               + str(fcstHr) + \"-hr fcst valid \" + str(grid.getDataTime().getRefTime()))\n",
    "\n",
    "ax.scatter(maxPoint.x, maxPoint.y, s=300,\n",
    "           transform=ccrs.PlateCarree(),marker=\"+\",facecolor='black')\n",
    "\n",
    "ax.add_geometries([roi_polygon], ccrs.PlateCarree(), facecolor='none', edgecolor='white', linewidth=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Region of Interest Image\n",
    "\n",
    "Now crop the data and zoom in on the region of interest (ROI) to create a new plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f2ae07b87d0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cmap = plt.get_cmap('rainbow')\n",
    "fig, ax = make_map(bbox=roi_box)\n",
    "\n",
    "cs = ax.pcolormesh(lons, lats, tp_inch, cmap=cmap)\n",
    "cbar = fig.colorbar(cs, shrink=0.7, orientation='horizontal')\n",
    "cbar.set_label(grid.getLocationName() + \" Total accumulated precipitation in inches, \" \\\n",
    "               + str(fcstHr) + \"-hr fcst valid \" + str(grid.getDataTime().getRefTime()))\n",
    "\n",
    "ax.scatter(maxPoint.x, maxPoint.y, s=300,\n",
    "           transform=ccrs.PlateCarree(),marker=\"+\",facecolor='black')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"#top\">Top</a>\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## High Resolution ROI"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### New Data Request\n",
    "\n",
    "To see the region of interest more clearly, we can redo the process with a higher resolution model (GFS20 vs. GFS1.0)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "roiRequest = DataAccessLayer.newDataRequest(\"grid\", envelope=conus_envelope)\n",
    "roiRequest.setLocationNames(\"GFS20\")\n",
    "roiRequest.setLevels(\"0.0SFC\")\n",
    "roiRequest.setParameters(\"TP\")\n",
    "\n",
    "roiCycles = DataAccessLayer.getAvailableTimes(roiRequest, True)\n",
    "roiTimes = DataAccessLayer.getAvailableTimes(roiRequest)\n",
    "roiFcstRun = DataAccessLayer.getForecastRun(roiCycles[-1], roiTimes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[<awips.dataaccess.PyGridData.PyGridData object at 0x7f2ae07b77f0>]\n",
      "0.0 20.5625 3.0\n",
      "0.0 28.8125 6.0\n",
      "0.0 32.0625 9.0\n",
      "0.0 32.25 12.0\n",
      "0.0 42.125 15.0\n",
      "0.0 52.8125 18.0\n",
      "0.0 77.625 21.0\n",
      "0.0 116.8125 24.0\n",
      "0.0 143.5 27.0\n",
      "0.0 157.8125 30.0\n",
      "0.0 175.25 33.0\n",
      "0.0 177.1875 36.0\n",
      "0.0 177.1875 39.0\n",
      "0.0 177.1875 42.0\n",
      "0.0 177.1875 45.0\n",
      "0.0 177.1875 48.0\n",
      "0.0 177.1875 51.0\n",
      "0.0 177.1875 54.0\n",
      "0.0 177.1875 57.0\n",
      "0.0 177.1875 60.0\n",
      "0.0 177.1875 63.0\n",
      "0.0 177.1875 66.0\n",
      "0.0 177.8125 69.0\n",
      "0.0 178.1875 72.0\n",
      "0.0 178.375 75.0\n",
      "0.0 178.6875 78.0\n",
      "0.0 188.375 81.0\n",
      "0.0 188.5 84.0\n",
      "0.0 188.6875 90.0\n",
      "0.0 189.1875 96.0\n",
      "0.0 189.375 102.0\n",
      "0.0 189.4375 108.0\n",
      "0.0 189.4375 114.0\n",
      "0.0 189.75 120.0\n",
      "0.0 189.75 126.0\n",
      "0.0 189.75 132.0\n",
      "0.0 189.9375 138.0\n",
      "0.0 191.125 144.0\n",
      "0.0 191.9375 150.0\n",
      "0.0 196.375 156.0\n",
      "0.0 196.75 162.0\n",
      "0.0 196.75 168.0\n",
      "0.0 196.8125 174.0\n",
      "0.0 197.625 180.0\n",
      "0.0 197.75 186.0\n",
      "0.0 198.1875 192.0\n",
      "0.0 199.75 198.0\n",
      "0.0 208.375 204.0\n",
      "0.0 211.125 210.0\n",
      "0.0 211.375 216.0\n",
      "0.0 211.375 222.0\n",
      "0.0 211.4375 228.0\n",
      "0.0 211.625 234.0\n",
      "0.0 236.875 240.0\n"
     ]
    }
   ],
   "source": [
    "roiResponse = DataAccessLayer.getGridData(roiRequest, [roiFcstRun[-1]])  \n",
    "print(roiResponse)\n",
    "roiGrid = roiResponse[0]\n",
    "\n",
    "roiLons, roiLats = roiGrid.getLatLonCoords()\n",
    "\n",
    "roi_data, i, j = calculate_accumulated_precip(roiRequest, roiFcstRun)\n",
    "\n",
    "roiFcstHr = int(roiGrid.getDataTime().getFcstTime()/3600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot ROI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f2ae066b890>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cmap = plt.get_cmap('rainbow')\n",
    "fig, ax = make_map(bbox=roi_box)\n",
    "\n",
    "cs = ax.pcolormesh(roiLons, roiLats, roi_data, cmap=cmap)\n",
    "cbar = fig.colorbar(cs, shrink=0.7, orientation='horizontal')\n",
    "cbar.set_label(roiGrid.getLocationName() + \" Total accumulated precipitation in inches, \" \\\n",
    "               + str(roiFcstHr) + \"-hr fcst valid \" + str(roiGrid.getDataTime().getRefTime()))\n",
    "\n",
    "ax.scatter(maxPoint.x, maxPoint.y, s=300,\n",
    "           transform=ccrs.PlateCarree(),marker=\"+\",facecolor='black')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"#top\">Top</a>\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## See Also\n",
    "\n",
    "### Related Notebooks\n",
    "\n",
    "* [Colorized Grid Data](https://unidata.github.io/python-awips/examples/generated/Colorized_Grid_Data.html)\n",
    "* [Grid Levels and Parameters](https://unidata.github.io/python-awips/examples/generated/Grid_Levels_and_Parameters.html)\n",
    "\n",
    "### Additional Documentation\n",
    "\n",
    "**python-awips:**\n",
    "* [awips.DataAccessLayer](http://unidata.github.io/python-awips/api/DataAccessLayer.html)\n",
    "* [awips.PyGridData](http://unidata.github.io/python-awips/api/PyGridData.html)\n",
    "\n",
    "**matplotlib:**\n",
    "* [matplotlib.pyplot](https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.html)\n",
    "* [matplotlib.pyplot.subplot](https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.subplot.html)\n",
    "* [matplotlib.pyplot.pcolormesh](https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.pcolormesh.html)"
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