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@ -1,215 +0,0 @@
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======================================
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Precip Accumulation-Region Of Interest
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======================================
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`Notebook <http://nbviewer.ipython.org/github/Unidata/python-awips/blob/master/examples/notebooks/Precip_Accumulation-Region_Of_Interest.ipynb>`_
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A way to determine areas of greatest precipitation and generate imagery
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for that sector.
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.. code:: ipython3
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from awips.dataaccess import DataAccessLayer
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import cartopy.crs as ccrs
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import matplotlib.pyplot as plt
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from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
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from metpy.units import units
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import numpy as np
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from shapely.geometry import Point, Polygon
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%matplotlib inline
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conus=[-120, -65, 28, 50]
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conus_envelope = Polygon([(conus[0],conus[2]),(conus[0],conus[3]),
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(conus[1],conus[3]),(conus[1],conus[2]),
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(conus[0],conus[2])])
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DataAccessLayer.changeEDEXHost("edex-cloud.unidata.ucar.edu")
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request = DataAccessLayer.newDataRequest("grid", envelope=conus_envelope)
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request.setLocationNames("NAM40")
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request.setLevels("0.0SFC")
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request.setParameters("TP")
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cycles = DataAccessLayer.getAvailableTimes(request, True)
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times = DataAccessLayer.getAvailableTimes(request)
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fcstRun = DataAccessLayer.getForecastRun(cycles[-2], times)
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Calculate accumulated precipitation
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.. code:: ipython3
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for i, tt in enumerate(fcstRun):
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response = DataAccessLayer.getGridData(request, [tt])
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grid = response[0]
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if i>0:
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data += grid.getRawData()
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else:
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data = grid.getRawData()
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data[data <= -9999] = 0
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print(data.min(), data.max(), grid.getDataTime().getFcstTime()/3600)
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lons, lats = grid.getLatLonCoords()
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bbox = [lons.min(), lons.max(), lats.min(), lats.max()]
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fcstHr = int(grid.getDataTime().getFcstTime()/3600)
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tp_inch = data * (0.0393701)
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print(tp_inch.min(), tp_inch.max())
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.. parsed-literal::
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0.0 0.0 0.0
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0.0 32.1875 3.0
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0.0 52.125 6.0
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0.0 74.375 9.0
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0.0 77.125 12.0
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0.0 78.625 15.0
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0.0 78.75 18.0
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0.0 78.75 21.0
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0.0 79.375 24.0
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0.0 82.25 27.0
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0.0 84.0 30.0
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0.0 84.6875 33.0
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0.0 85.625 36.0
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0.0 87.3125 39.0
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0.0 87.75 42.0
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0.0 87.75 45.0
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0.0 89.375 48.0
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0.0 127.875 51.0
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0.0 139.5625 54.0
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0.0 139.6875 57.0
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0.0 140.5625 60.0
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0.0 140.625 63.0
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0.0 140.625 66.0
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0.0 140.625 69.0
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0.0 140.625 72.0
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0.0 140.625 75.0
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0.0 140.625 78.0
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0.0 140.625 81.0
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0.0 140.625 84.0
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0.0 5.5364203
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Determine lat/lon of maximum rainfall value:
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.. code:: ipython3
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ii,jj = np.where(tp_inch==tp_inch.max())
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i=ii[0]
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j=jj[0]
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point = Point(lons[i][j], lats[i][j])
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Draw CONUS map
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.. code:: ipython3
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def make_map(bbox, projection=ccrs.PlateCarree()):
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fig, ax = plt.subplots(figsize=(20, 14),
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subplot_kw=dict(projection=projection))
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ax.set_extent(bbox)
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ax.coastlines(resolution='50m')
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return fig, ax
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cmap = plt.get_cmap('rainbow')
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fig, ax = make_map(bbox=bbox)
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cs = ax.pcolormesh(lons, lats, tp_inch, cmap=cmap)
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cbar = fig.colorbar(cs, shrink=0.7, orientation='horizontal')
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cbar.set_label(grid.getLocationName() + " Total precipitation in inches, " \
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+ str(fcstHr) + "-hr fcst valid " + str(grid.getDataTime().getRefTime()))
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ax.scatter(point.x, point.y, s=300,
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transform=ccrs.PlateCarree(),marker="+",facecolor='black')
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inc = 3.5
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box=[point.x-inc, point.x+inc, point.y-inc, point.y+inc]
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polygon = Polygon([(box[0],box[2]),(box[0],box[3]),
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(box[1],box[3]),(box[1],box[2]),
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(box[0],box[2])])
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ax.add_geometries([polygon], ccrs.PlateCarree(), facecolor='none', edgecolor='white', linewidth=2)
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.. parsed-literal::
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<cartopy.mpl.feature_artist.FeatureArtist at 0x11b971da0>
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.. image:: Precip_Accumulation-Region_Of_Interest_files/Precip_Accumulation-Region_Of_Interest_7_1.png
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Now create a new gridded data request with a geometry envelope for our
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Region of Interest
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.. code:: ipython3
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request = DataAccessLayer.newDataRequest("grid", envelope=polygon)
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request.setLocationNames("HRRR")
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request.setLevels("0.0SFC")
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request.setParameters("TP")
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cycles = DataAccessLayer.getAvailableTimes(request, True)
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times = DataAccessLayer.getAvailableTimes(request)
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fcstRun = DataAccessLayer.getForecastRun(cycles[-2], times)
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for i, tt in enumerate(fcstRun):
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response = DataAccessLayer.getGridData(request, [tt])
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grid = response[0]
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if i>0:
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data += grid.getRawData()
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else:
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data = grid.getRawData()
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data[data <= -9999] = 0
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print(data.min(), data.max(), grid.getDataTime().getFcstTime()/3600)
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lons, lats = grid.getLatLonCoords()
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bbox = [lons.min(), lons.max(), lats.min(), lats.max()]
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fcstHr = int(grid.getDataTime().getFcstTime()/3600)
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tp_inch = data * (0.0393701)
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print(tp_inch.min(), tp_inch.max())
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def make_map(bbox, projection=ccrs.PlateCarree()):
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fig, ax = plt.subplots(figsize=(20, 14),
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subplot_kw=dict(projection=projection))
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ax.set_extent(bbox)
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ax.coastlines(resolution='50m')
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return fig, ax
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cmap = plt.get_cmap('rainbow')
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fig, ax = make_map(bbox=box)
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cs = ax.pcolormesh(lons, lats, tp_inch, cmap=cmap)
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cbar = fig.colorbar(cs, shrink=0.7, orientation='horizontal')
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cbar.set_label(grid.getLocationName() + " Total precipitation in inches, " \
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+ str(fcstHr) + "-hr fcst valid " + str(grid.getDataTime().getRefTime()))
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.. parsed-literal::
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0.0 1.853 1.0
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0.0 3.5290003 2.0
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0.0 5.0290003 3.0
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0.0 5.051 4.0
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0.0 5.2960005 5.0
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0.0 5.2960005 6.0
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0.0 5.8269997 7.0
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0.0 6.1790004 8.0
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0.0 6.1890006 9.0
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0.0 9.071 10.0
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0.0 10.812 11.0
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0.0 14.718 12.0
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0.0 18.295 13.0
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0.0 21.339 14.0
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0.0 22.626 15.0
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0.0 28.670002 16.0
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0.0 32.334 17.0
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0.0 36.628002 18.0
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0.0 1.4420482
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.. image:: Precip_Accumulation-Region_Of_Interest_files/Precip_Accumulation-Region_Of_Interest_9_1.png
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@ -0,0 +1,479 @@
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======================================
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Precip Accumulation Region of Interest
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======================================
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`Notebook <http://nbviewer.ipython.org/github/Unidata/python-awips/blob/master/examples/notebooks/Precip_Accumulation_Region_of_Interest.ipynb>`_
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Python-AWIPS Tutorial Notebook
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--------------
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Objectives
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==========
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- Access the model data from an EDEX server and limit the data returned
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by using model specific parameters
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- Calculate the total precipitation over several model runs
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- Create a colorized plot for the continental US of the accumulated
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precipitation data
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- Calculate and identify area of highest of precipitation
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- Use higher resolution data to draw region of interest
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--------------
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Table of Contents
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-----------------
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| `1
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Imports <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#imports>`__\
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| `2 Initial
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|
Setup <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#initial-setup>`__\
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| `2.1 Geographic
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Filter <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#geographic-filter>`__\
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| `2.2 EDEX
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Connnection <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#edex-connection>`__\
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| `2.3 Refine the
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Request <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#refine-the-request>`__\
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| `2.4 Get
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Times <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#get-times>`__\
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| `3 Function:
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calculate_accumulated_precip() <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#function-calculate-accumulated-precip>`__\
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| `4 Function:
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make_map() <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interes.htmlt#function-make-map>`__\
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| `5 Get the
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Data! <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#get-the-data>`__\
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| `6 Plot the
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Data! <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#plot-the-data>`__\
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| `6.1 Create CONUS
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Image <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#create-conus-image>`__\
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| `6.2 Create Region of Interest
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Image <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#create-region-of-interest-image>`__\
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| `7 High Resolution
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ROI <https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#high-resolution-roi>`__\
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| `7.1 New Data
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Request <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#new-data-request>`__\
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| `7.2 Calculate
|
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|
Data <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#calculate-data>`__\
|
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| `7.3 Plot
|
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ROI <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#plot-roi>`__\
|
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| `8 See
|
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|
Also <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest#see-also>`__\
|
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|
| `8.1 Related
|
||||||
|
Notebooks <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#related-notebooks>`__\
|
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|
| `8.2 Additional
|
||||||
|
Documentation <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#additional-documentation>`__\
|
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|
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|
1 Imports
|
||||||
|
---------
|
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|
||||||
|
The imports below are used throughout the notebook. Note the first
|
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|
import is coming directly from python-awips and allows us to connect to
|
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an EDEX server. The subsequent imports are for data manipulation and
|
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|
visualization.
|
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|
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|
.. code:: ipython3
|
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|
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|
from awips.dataaccess import DataAccessLayer
|
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import cartopy.crs as ccrs
|
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import matplotlib.pyplot as plt
|
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from metpy.units import units
|
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|
import numpy as np
|
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|
from shapely.geometry import Point, Polygon
|
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|
|
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|
`Top <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html>`__
|
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|
|
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|
--------------
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2 Initial Setup
|
||||||
|
---------------
|
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|
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|
2.1 Geographic Filter
|
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|
~~~~~~~~~~~~~~~~~~~~~
|
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|
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By defining a bounding box for the Continental US (CONUS), we’re able to
|
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|
optimize the data request sent to the EDEX server.
|
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|
||||||
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.. code:: ipython3
|
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|
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conus=[-125, -65, 25, 55]
|
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conus_envelope = Polygon([(conus[0],conus[2]),(conus[0],conus[3]),
|
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|
(conus[1],conus[3]),(conus[1],conus[2]),
|
||||||
|
(conus[0],conus[2])])
|
||||||
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|
||||||
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2.2 EDEX Connection
|
||||||
|
~~~~~~~~~~~~~~~~~~~
|
||||||
|
|
||||||
|
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.
|
||||||
|
|
||||||
|
.. code:: ipython3
|
||||||
|
|
||||||
|
DataAccessLayer.changeEDEXHost("edex-cloud.unidata.ucar.edu")
|
||||||
|
request = DataAccessLayer.newDataRequest("grid", envelope=conus_envelope)
|
||||||
|
|
||||||
|
2.3 Refine the Request
|
||||||
|
~~~~~~~~~~~~~~~~~~~~~~
|
||||||
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|
||||||
|
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*.
|
||||||
|
|
||||||
|
.. code:: ipython3
|
||||||
|
|
||||||
|
request.setLocationNames("GFS1p0")
|
||||||
|
request.setLevels("0.0SFC")
|
||||||
|
request.setParameters("TP")
|
||||||
|
|
||||||
|
2.4 Get Times
|
||||||
|
~~~~~~~~~~~~~
|
||||||
|
|
||||||
|
We need to get the available times and cycles for our model data
|
||||||
|
|
||||||
|
.. code:: ipython3
|
||||||
|
|
||||||
|
cycles = DataAccessLayer.getAvailableTimes(request, True)
|
||||||
|
times = DataAccessLayer.getAvailableTimes(request)
|
||||||
|
fcstRun = DataAccessLayer.getForecastRun(cycles[-1], times)
|
||||||
|
|
||||||
|
`Top <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html>`__
|
||||||
|
|
||||||
|
--------------
|
||||||
|
|
||||||
|
3 Function: calculate_accumulated_precip()
|
||||||
|
------------------------------------------
|
||||||
|
|
||||||
|
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.
|
||||||
|
|
||||||
|
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.
|
||||||
|
|
||||||
|
.. code:: ipython3
|
||||||
|
|
||||||
|
def calculate_accumulated_precip(dataRequest, forecastRun):
|
||||||
|
|
||||||
|
for i, tt in enumerate(forecastRun):
|
||||||
|
response = DataAccessLayer.getGridData(dataRequest, [tt])
|
||||||
|
grid = response[0]
|
||||||
|
if i>0:
|
||||||
|
data += grid.getRawData()
|
||||||
|
else:
|
||||||
|
data = grid.getRawData()
|
||||||
|
data[data <= -9999] = 0
|
||||||
|
print(data.min(), data.max(), grid.getDataTime().getFcstTime()/3600)
|
||||||
|
|
||||||
|
# Convert from mm to inches
|
||||||
|
result = data * (0.0393701)
|
||||||
|
|
||||||
|
ii,jj = np.where(result==result.max())
|
||||||
|
i=ii[0]
|
||||||
|
j=jj[0]
|
||||||
|
|
||||||
|
return result, i, j
|
||||||
|
|
||||||
|
`Top <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html>`__
|
||||||
|
|
||||||
|
--------------
|
||||||
|
|
||||||
|
4 Fuction: make_map()
|
||||||
|
---------------------
|
||||||
|
|
||||||
|
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.
|
||||||
|
|
||||||
|
.. code:: ipython3
|
||||||
|
|
||||||
|
def make_map(bbox, projection=ccrs.PlateCarree()):
|
||||||
|
fig, ax = plt.subplots(figsize=(20, 14),
|
||||||
|
subplot_kw=dict(projection=projection))
|
||||||
|
ax.set_extent(bbox)
|
||||||
|
ax.coastlines(resolution='50m')
|
||||||
|
return fig, ax
|
||||||
|
|
||||||
|
`Top <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html>`__
|
||||||
|
|
||||||
|
--------------
|
||||||
|
|
||||||
|
5 Get the Data!
|
||||||
|
---------------
|
||||||
|
|
||||||
|
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.
|
||||||
|
|
||||||
|
.. code:: ipython3
|
||||||
|
|
||||||
|
## get the grid response from edex
|
||||||
|
response = DataAccessLayer.getGridData(request, [fcstRun[-1]])
|
||||||
|
## take the first result to get the location information from
|
||||||
|
grid = response[0]
|
||||||
|
|
||||||
|
## get the location coordinates and create a bounding box for our map
|
||||||
|
lons, lats = grid.getLatLonCoords()
|
||||||
|
bbox = [lons.min(), lons.max(), lats.min(), lats.max()]
|
||||||
|
fcstHr = int(grid.getDataTime().getFcstTime()/3600)
|
||||||
|
|
||||||
|
## calculate the total precipitation
|
||||||
|
tp_inch, i, j = calculate_accumulated_precip(request, fcstRun)
|
||||||
|
print(tp_inch.min(), tp_inch.max())
|
||||||
|
|
||||||
|
## use the max points coordinates to get the max point in lat/lon coords
|
||||||
|
maxPoint = Point(lons[i][j], lats[i][j])
|
||||||
|
inc = 3.5
|
||||||
|
## create a region of interest bounding box
|
||||||
|
roi_box=[maxPoint.x-inc, maxPoint.x+inc, maxPoint.y-inc, maxPoint.y+inc]
|
||||||
|
roi_polygon = Polygon([(roi_box[0],roi_box[2]),(roi_box[0],roi_box[3]),
|
||||||
|
(roi_box[1],roi_box[3]),(roi_box[1],roi_box[2]),(roi_box[0],roi_box[2])])
|
||||||
|
|
||||||
|
print(maxPoint)
|
||||||
|
|
||||||
|
|
||||||
|
.. parsed-literal::
|
||||||
|
|
||||||
|
0.0 10.0625 6.0
|
||||||
|
0.0 21.75 12.0
|
||||||
|
0.0 35.1875 18.0
|
||||||
|
0.0 43.5 24.0
|
||||||
|
0.0 45.5625 42.0
|
||||||
|
0.0 47.9375 48.0
|
||||||
|
0.0 52.0625 54.0
|
||||||
|
0.0 56.375 60.0
|
||||||
|
0.0 86.625 66.0
|
||||||
|
0.0 92.4375 72.0
|
||||||
|
0.0 94.375 78.0
|
||||||
|
0.0 95.375 84.0
|
||||||
|
0.0 98.3125 90.0
|
||||||
|
0.0 100.125 96.0
|
||||||
|
0.0 101.6875 102.0
|
||||||
|
0.0 104.0 108.0
|
||||||
|
0.0 107.1875 114.0
|
||||||
|
0.0 115.25 120.0
|
||||||
|
0.0 129.0 126.0
|
||||||
|
0.0 136.375 132.0
|
||||||
|
0.0 141.125 138.0
|
||||||
|
0.0 145.25 144.0
|
||||||
|
0.0 147.375 150.0
|
||||||
|
0.0 5.802169
|
||||||
|
POINT (-124 42)
|
||||||
|
|
||||||
|
|
||||||
|
`Top <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html>`__
|
||||||
|
|
||||||
|
--------------
|
||||||
|
|
||||||
|
6 Plot the Data!
|
||||||
|
----------------
|
||||||
|
|
||||||
|
6.1 Create CONUS Image
|
||||||
|
~~~~~~~~~~~~~~~~~~~~~~
|
||||||
|
|
||||||
|
Plot our data on our CONUS map.
|
||||||
|
|
||||||
|
.. code:: ipython3
|
||||||
|
|
||||||
|
cmap = plt.get_cmap('rainbow')
|
||||||
|
fig, ax = make_map(bbox=bbox)
|
||||||
|
cs = ax.pcolormesh(lons, lats, tp_inch, cmap=cmap)
|
||||||
|
cbar = fig.colorbar(cs, shrink=0.7, orientation='horizontal')
|
||||||
|
cbar.set_label(grid.getLocationName() + " Total precipitation in inches, " \
|
||||||
|
+ str(fcstHr) + "-hr fcst valid " + str(grid.getDataTime().getRefTime()))
|
||||||
|
|
||||||
|
ax.scatter(maxPoint.x, maxPoint.y, s=300,
|
||||||
|
transform=ccrs.PlateCarree(),marker="+",facecolor='black')
|
||||||
|
|
||||||
|
ax.add_geometries([roi_polygon], ccrs.PlateCarree(), facecolor='none', edgecolor='white', linewidth=2)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
.. parsed-literal::
|
||||||
|
|
||||||
|
<cartopy.mpl.feature_artist.FeatureArtist at 0x13eb32340>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
.. image:: Precip_Accumulation_Region_of_Interest_files/Precip_Accumulation_Region_of_Interest_27_1.png
|
||||||
|
|
||||||
|
|
||||||
|
6.2 Create Region of Interest Image
|
||||||
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
||||||
|
|
||||||
|
Now crop the data and zoom in on the region of interest (ROI) to create
|
||||||
|
a new plot.
|
||||||
|
|
||||||
|
.. code:: ipython3
|
||||||
|
|
||||||
|
# cmap = plt.get_cmap('rainbow')
|
||||||
|
fig, ax = make_map(bbox=roi_box)
|
||||||
|
|
||||||
|
cs = ax.pcolormesh(lons, lats, tp_inch, cmap=cmap)
|
||||||
|
cbar = fig.colorbar(cs, shrink=0.7, orientation='horizontal')
|
||||||
|
cbar.set_label(grid.getLocationName() + " Total precipitation in inches, " \
|
||||||
|
+ str(fcstHr) + "-hr fcst valid " + str(grid.getDataTime().getRefTime()))
|
||||||
|
|
||||||
|
ax.scatter(maxPoint.x, maxPoint.y, s=300,
|
||||||
|
transform=ccrs.PlateCarree(),marker="+",facecolor='black')
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
.. parsed-literal::
|
||||||
|
|
||||||
|
<matplotlib.collections.PathCollection at 0x13ed521c0>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
.. image:: Precip_Accumulation_Region_of_Interest_files/Precip_Accumulation_Region_of_Interest_29_1.png
|
||||||
|
|
||||||
|
|
||||||
|
`Top <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html>`__
|
||||||
|
|
||||||
|
--------------
|
||||||
|
|
||||||
|
7 High Resolution ROI
|
||||||
|
---------------------
|
||||||
|
|
||||||
|
7.1 New Data Request
|
||||||
|
~~~~~~~~~~~~~~~~~~~~
|
||||||
|
|
||||||
|
To see the region of interest more clearly, we can redo the process with
|
||||||
|
a higher resolution model (GFS20 vs. GFS1.0).
|
||||||
|
|
||||||
|
.. code:: ipython3
|
||||||
|
|
||||||
|
roiRequest = DataAccessLayer.newDataRequest("grid", envelope=conus_envelope)
|
||||||
|
roiRequest.setLocationNames("GFS20")
|
||||||
|
roiRequest.setLevels("0.0SFC")
|
||||||
|
roiRequest.setParameters("TP")
|
||||||
|
|
||||||
|
roiCycles = DataAccessLayer.getAvailableTimes(roiRequest, True)
|
||||||
|
roiTimes = DataAccessLayer.getAvailableTimes(roiRequest)
|
||||||
|
roiFcstRun = DataAccessLayer.getForecastRun(roiCycles[-1], roiTimes)
|
||||||
|
|
||||||
|
7.2 Calculate Data
|
||||||
|
~~~~~~~~~~~~~~~~~~
|
||||||
|
|
||||||
|
.. code:: ipython3
|
||||||
|
|
||||||
|
roiResponse = DataAccessLayer.getGridData(roiRequest, [roiFcstRun[-1]])
|
||||||
|
print(roiResponse)
|
||||||
|
roiGrid = roiResponse[0]
|
||||||
|
|
||||||
|
roiLons, roiLats = roiGrid.getLatLonCoords()
|
||||||
|
|
||||||
|
roi_data, i, j = calculate_accumulated_precip(roiRequest, roiFcstRun)
|
||||||
|
|
||||||
|
roiFcstHr = int(roiGrid.getDataTime().getFcstTime()/3600)
|
||||||
|
|
||||||
|
|
||||||
|
.. parsed-literal::
|
||||||
|
|
||||||
|
[<awips.dataaccess.PyGridData.PyGridData object at 0x13ecb4eb0>]
|
||||||
|
0.0 22.5625 3.0
|
||||||
|
0.0 35.375 6.0
|
||||||
|
0.0 38.375 9.0
|
||||||
|
0.0 38.375 12.0
|
||||||
|
0.0 41.375 15.0
|
||||||
|
0.0 48.625 18.0
|
||||||
|
0.0 73.0625 30.0
|
||||||
|
0.0 94.9375 33.0
|
||||||
|
0.0 96.125 36.0
|
||||||
|
0.0 97.0 39.0
|
||||||
|
0.0 99.375 45.0
|
||||||
|
0.0 100.0625 48.0
|
||||||
|
0.0 100.25 51.0
|
||||||
|
0.0 100.4375 57.0
|
||||||
|
0.0 100.4375 63.0
|
||||||
|
0.0 118.25 66.0
|
||||||
|
0.0 127.625 69.0
|
||||||
|
0.0 131.125 75.0
|
||||||
|
0.0 131.375 78.0
|
||||||
|
0.0 131.5 81.0
|
||||||
|
0.0 131.875 84.0
|
||||||
|
0.0 132.875 90.0
|
||||||
|
0.0 133.375 96.0
|
||||||
|
0.0 139.1875 102.0
|
||||||
|
0.0 141.625 120.0
|
||||||
|
0.0 141.75 126.0
|
||||||
|
0.0 142.1875 132.0
|
||||||
|
0.0 143.375 138.0
|
||||||
|
0.0 148.6875 144.0
|
||||||
|
0.0 156.25 150.0
|
||||||
|
|
||||||
|
|
||||||
|
7.3 Plot ROI
|
||||||
|
~~~~~~~~~~~~
|
||||||
|
|
||||||
|
.. code:: ipython3
|
||||||
|
|
||||||
|
# cmap = plt.get_cmap('rainbow')
|
||||||
|
fig, ax = make_map(bbox=roi_box)
|
||||||
|
|
||||||
|
cs = ax.pcolormesh(roiLons, roiLats, roi_data, cmap=cmap)
|
||||||
|
cbar = fig.colorbar(cs, shrink=0.7, orientation='horizontal')
|
||||||
|
cbar.set_label(roiGrid.getLocationName() + " Total precipitation in inches, " \
|
||||||
|
+ str(roiFcstHr) + "-hr fcst valid " + str(roiGrid.getDataTime().getRefTime()))
|
||||||
|
|
||||||
|
ax.scatter(maxPoint.x, maxPoint.y, s=300,
|
||||||
|
transform=ccrs.PlateCarree(),marker="+",facecolor='black')
|
||||||
|
|
||||||
|
|
||||||
|
.. parsed-literal::
|
||||||
|
|
||||||
|
/Users/scarter/opt/miniconda3/envs/python3-awips/lib/python3.9/site-packages/cartopy/mpl/geoaxes.py:1702: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.
|
||||||
|
X, Y, C, shading = self._pcolorargs('pcolormesh', *args,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
.. parsed-literal::
|
||||||
|
|
||||||
|
<matplotlib.collections.PathCollection at 0x13edc39a0>
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
.. image:: Precip_Accumulation_Region_of_Interest_files/Precip_Accumulation_Region_of_Interest_37_2.png
|
||||||
|
|
||||||
|
|
||||||
|
`Top <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html>`__
|
||||||
|
|
||||||
|
--------------
|
||||||
|
|
||||||
|
8 See Also
|
||||||
|
----------
|
||||||
|
|
||||||
|
8.1 Related Notebooks
|
||||||
|
~~~~~~~~~~~~~~~~~~~~~
|
||||||
|
|
||||||
|
- `Colorized Grid
|
||||||
|
Data <https://unidata.github.io/python-awips/examples/generated/Colorized_Grid_Data.html>`__
|
||||||
|
- `Grid Levels and
|
||||||
|
Parameters <https://unidata.github.io/python-awips/examples/generated/Grid_Levels_and_Parameters.html>`__
|
||||||
|
|
||||||
|
8.2 Additional Documentation
|
||||||
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
||||||
|
|
||||||
|
**python-awips:** \*
|
||||||
|
`awips.DataAccessLayer <http://unidata.github.io/python-awips/api/DataAccessLayer.html>`__
|
||||||
|
\*
|
||||||
|
`awips.PyGridData <http://unidata.github.io/python-awips/api/PyGridData.html>`__
|
||||||
|
|
||||||
|
**matplotlib:** \*
|
||||||
|
`matplotlib.pyplot <https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.html>`__
|
||||||
|
\*
|
||||||
|
`matplotlib.pyplot.subplot <https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.subplot.html>`__
|
||||||
|
\*
|
||||||
|
`matplotlib.pyplot.pcolormesh <https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.pcolormesh.html>`__
|
||||||
|
|
||||||
|
`Top <https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html>`__
|
||||||
|
|
||||||
|
--------------
|
||||||
|
|
@ -72,7 +72,7 @@
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Precip_Accumulation-Region_Of_Interest.html">Precip Accumulation-Region Of Interest</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Precip_Accumulation_Region_of_Interest.html">Precip Accumulation Region of Interest</a></li>
|
||||||
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<section id="precip-accumulation-region-of-interest">
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<h1>Precip Accumulation-Region Of Interest<a class="headerlink" href="#precip-accumulation-region-of-interest" title="Permalink to this heading"></a></h1>
|
|
||||||
<p><a class="reference external" href="http://nbviewer.ipython.org/github/Unidata/python-awips/blob/master/examples/notebooks/Precip_Accumulation-Region_Of_Interest.ipynb">Notebook</a>
|
|
||||||
A way to determine areas of greatest precipitation and generate imagery
|
|
||||||
for that sector.</p>
|
|
||||||
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">awips.dataaccess</span> <span class="kn">import</span> <span class="n">DataAccessLayer</span>
|
|
||||||
<span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
|
|
||||||
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
|
|
||||||
<span class="kn">from</span> <span class="nn">cartopy.mpl.gridliner</span> <span class="kn">import</span> <span class="n">LONGITUDE_FORMATTER</span><span class="p">,</span> <span class="n">LATITUDE_FORMATTER</span>
|
|
||||||
<span class="kn">from</span> <span class="nn">metpy.units</span> <span class="kn">import</span> <span class="n">units</span>
|
|
||||||
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
|
||||||
<span class="kn">from</span> <span class="nn">shapely.geometry</span> <span class="kn">import</span> <span class="n">Point</span><span class="p">,</span> <span class="n">Polygon</span>
|
|
||||||
|
|
||||||
<span class="o">%</span><span class="k">matplotlib</span> inline
|
|
||||||
|
|
||||||
<span class="n">conus</span><span class="o">=</span><span class="p">[</span><span class="o">-</span><span class="mi">120</span><span class="p">,</span> <span class="o">-</span><span class="mi">65</span><span class="p">,</span> <span class="mi">28</span><span class="p">,</span> <span class="mi">50</span><span class="p">]</span>
|
|
||||||
<span class="n">conus_envelope</span> <span class="o">=</span> <span class="n">Polygon</span><span class="p">([(</span><span class="n">conus</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">conus</span><span class="p">[</span><span class="mi">2</span><span class="p">]),(</span><span class="n">conus</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">conus</span><span class="p">[</span><span class="mi">3</span><span class="p">]),</span>
|
|
||||||
<span class="p">(</span><span class="n">conus</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">conus</span><span class="p">[</span><span class="mi">3</span><span class="p">]),(</span><span class="n">conus</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">conus</span><span class="p">[</span><span class="mi">2</span><span class="p">]),</span>
|
|
||||||
<span class="p">(</span><span class="n">conus</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">conus</span><span class="p">[</span><span class="mi">2</span><span class="p">])])</span>
|
|
||||||
|
|
||||||
<span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">changeEDEXHost</span><span class="p">(</span><span class="s2">"edex-cloud.unidata.ucar.edu"</span><span class="p">)</span>
|
|
||||||
<span class="n">request</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">newDataRequest</span><span class="p">(</span><span class="s2">"grid"</span><span class="p">,</span> <span class="n">envelope</span><span class="o">=</span><span class="n">conus_envelope</span><span class="p">)</span>
|
|
||||||
<span class="n">request</span><span class="o">.</span><span class="n">setLocationNames</span><span class="p">(</span><span class="s2">"NAM40"</span><span class="p">)</span>
|
|
||||||
<span class="n">request</span><span class="o">.</span><span class="n">setLevels</span><span class="p">(</span><span class="s2">"0.0SFC"</span><span class="p">)</span>
|
|
||||||
<span class="n">request</span><span class="o">.</span><span class="n">setParameters</span><span class="p">(</span><span class="s2">"TP"</span><span class="p">)</span>
|
|
||||||
|
|
||||||
<span class="n">cycles</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getAvailableTimes</span><span class="p">(</span><span class="n">request</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
|
|
||||||
<span class="n">times</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getAvailableTimes</span><span class="p">(</span><span class="n">request</span><span class="p">)</span>
|
|
||||||
<span class="n">fcstRun</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getForecastRun</span><span class="p">(</span><span class="n">cycles</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">],</span> <span class="n">times</span><span class="p">)</span>
|
|
||||||
</pre></div>
|
|
||||||
</div>
|
|
||||||
<p>Calculate accumulated precipitation</p>
|
|
||||||
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">tt</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">fcstRun</span><span class="p">):</span>
|
|
||||||
<span class="n">response</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getGridData</span><span class="p">(</span><span class="n">request</span><span class="p">,</span> <span class="p">[</span><span class="n">tt</span><span class="p">])</span>
|
|
||||||
<span class="n">grid</span> <span class="o">=</span> <span class="n">response</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
|
||||||
<span class="k">if</span> <span class="n">i</span><span class="o">></span><span class="mi">0</span><span class="p">:</span>
|
|
||||||
<span class="n">data</span> <span class="o">+=</span> <span class="n">grid</span><span class="o">.</span><span class="n">getRawData</span><span class="p">()</span>
|
|
||||||
<span class="k">else</span><span class="p">:</span>
|
|
||||||
<span class="n">data</span> <span class="o">=</span> <span class="n">grid</span><span class="o">.</span><span class="n">getRawData</span><span class="p">()</span>
|
|
||||||
<span class="n">data</span><span class="p">[</span><span class="n">data</span> <span class="o"><=</span> <span class="o">-</span><span class="mi">9999</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
|
|
||||||
<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">data</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span> <span class="n">grid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getFcstTime</span><span class="p">()</span><span class="o">/</span><span class="mi">3600</span><span class="p">)</span>
|
|
||||||
|
|
||||||
|
|
||||||
<span class="n">lons</span><span class="p">,</span> <span class="n">lats</span> <span class="o">=</span> <span class="n">grid</span><span class="o">.</span><span class="n">getLatLonCoords</span><span class="p">()</span>
|
|
||||||
<span class="n">bbox</span> <span class="o">=</span> <span class="p">[</span><span class="n">lons</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">lons</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span> <span class="n">lats</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">lats</span><span class="o">.</span><span class="n">max</span><span class="p">()]</span>
|
|
||||||
<span class="n">fcstHr</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getFcstTime</span><span class="p">()</span><span class="o">/</span><span class="mi">3600</span><span class="p">)</span>
|
|
||||||
|
|
||||||
<span class="n">tp_inch</span> <span class="o">=</span> <span class="n">data</span> <span class="o">*</span> <span class="p">(</span><span class="mf">0.0393701</span><span class="p">)</span>
|
|
||||||
<span class="nb">print</span><span class="p">(</span><span class="n">tp_inch</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">tp_inch</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
|
|
||||||
</pre></div>
|
|
||||||
</div>
|
|
||||||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="mf">0.0</span> <span class="mf">0.0</span> <span class="mf">0.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">32.1875</span> <span class="mf">3.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">52.125</span> <span class="mf">6.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">74.375</span> <span class="mf">9.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">77.125</span> <span class="mf">12.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">78.625</span> <span class="mf">15.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">78.75</span> <span class="mf">18.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">78.75</span> <span class="mf">21.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">79.375</span> <span class="mf">24.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">82.25</span> <span class="mf">27.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">84.0</span> <span class="mf">30.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">84.6875</span> <span class="mf">33.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">85.625</span> <span class="mf">36.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">87.3125</span> <span class="mf">39.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">87.75</span> <span class="mf">42.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">87.75</span> <span class="mf">45.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">89.375</span> <span class="mf">48.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">127.875</span> <span class="mf">51.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">139.5625</span> <span class="mf">54.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">139.6875</span> <span class="mf">57.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">140.5625</span> <span class="mf">60.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">140.625</span> <span class="mf">63.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">140.625</span> <span class="mf">66.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">140.625</span> <span class="mf">69.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">140.625</span> <span class="mf">72.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">140.625</span> <span class="mf">75.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">140.625</span> <span class="mf">78.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">140.625</span> <span class="mf">81.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">140.625</span> <span class="mf">84.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">5.5364203</span>
|
|
||||||
</pre></div>
|
|
||||||
</div>
|
|
||||||
<p>Determine lat/lon of maximum rainfall value:</p>
|
|
||||||
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ii</span><span class="p">,</span><span class="n">jj</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">tp_inch</span><span class="o">==</span><span class="n">tp_inch</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
|
|
||||||
<span class="n">i</span><span class="o">=</span><span class="n">ii</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
|
||||||
<span class="n">j</span><span class="o">=</span><span class="n">jj</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
|
||||||
<span class="n">point</span> <span class="o">=</span> <span class="n">Point</span><span class="p">(</span><span class="n">lons</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">],</span> <span class="n">lats</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">])</span>
|
|
||||||
</pre></div>
|
|
||||||
</div>
|
|
||||||
<p>Draw CONUS map</p>
|
|
||||||
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">make_map</span><span class="p">(</span><span class="n">bbox</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">()):</span>
|
|
||||||
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">14</span><span class="p">),</span>
|
|
||||||
<span class="n">subplot_kw</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">projection</span><span class="p">))</span>
|
|
||||||
<span class="n">ax</span><span class="o">.</span><span class="n">set_extent</span><span class="p">(</span><span class="n">bbox</span><span class="p">)</span>
|
|
||||||
<span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span><span class="p">(</span><span class="n">resolution</span><span class="o">=</span><span class="s1">'50m'</span><span class="p">)</span>
|
|
||||||
<span class="k">return</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span>
|
|
||||||
|
|
||||||
<span class="n">cmap</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">get_cmap</span><span class="p">(</span><span class="s1">'rainbow'</span><span class="p">)</span>
|
|
||||||
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">make_map</span><span class="p">(</span><span class="n">bbox</span><span class="o">=</span><span class="n">bbox</span><span class="p">)</span>
|
|
||||||
<span class="n">cs</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><span class="n">lons</span><span class="p">,</span> <span class="n">lats</span><span class="p">,</span> <span class="n">tp_inch</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">)</span>
|
|
||||||
<span class="n">cbar</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">cs</span><span class="p">,</span> <span class="n">shrink</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s1">'horizontal'</span><span class="p">)</span>
|
|
||||||
<span class="n">cbar</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getLocationName</span><span class="p">()</span> <span class="o">+</span> <span class="s2">" Total precipitation in inches, "</span> \
|
|
||||||
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">fcstHr</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"-hr fcst valid "</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getRefTime</span><span class="p">()))</span>
|
|
||||||
|
|
||||||
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">point</span><span class="o">.</span><span class="n">x</span><span class="p">,</span> <span class="n">point</span><span class="o">.</span><span class="n">y</span><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">300</span><span class="p">,</span>
|
|
||||||
<span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span><span class="n">marker</span><span class="o">=</span><span class="s2">"+"</span><span class="p">,</span><span class="n">facecolor</span><span class="o">=</span><span class="s1">'black'</span><span class="p">)</span>
|
|
||||||
|
|
||||||
<span class="n">inc</span> <span class="o">=</span> <span class="mf">3.5</span>
|
|
||||||
<span class="n">box</span><span class="o">=</span><span class="p">[</span><span class="n">point</span><span class="o">.</span><span class="n">x</span><span class="o">-</span><span class="n">inc</span><span class="p">,</span> <span class="n">point</span><span class="o">.</span><span class="n">x</span><span class="o">+</span><span class="n">inc</span><span class="p">,</span> <span class="n">point</span><span class="o">.</span><span class="n">y</span><span class="o">-</span><span class="n">inc</span><span class="p">,</span> <span class="n">point</span><span class="o">.</span><span class="n">y</span><span class="o">+</span><span class="n">inc</span><span class="p">]</span>
|
|
||||||
<span class="n">polygon</span> <span class="o">=</span> <span class="n">Polygon</span><span class="p">([(</span><span class="n">box</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">box</span><span class="p">[</span><span class="mi">2</span><span class="p">]),(</span><span class="n">box</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">box</span><span class="p">[</span><span class="mi">3</span><span class="p">]),</span>
|
|
||||||
<span class="p">(</span><span class="n">box</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">box</span><span class="p">[</span><span class="mi">3</span><span class="p">]),(</span><span class="n">box</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">box</span><span class="p">[</span><span class="mi">2</span><span class="p">]),</span>
|
|
||||||
<span class="p">(</span><span class="n">box</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">box</span><span class="p">[</span><span class="mi">2</span><span class="p">])])</span>
|
|
||||||
<span class="n">ax</span><span class="o">.</span><span class="n">add_geometries</span><span class="p">([</span><span class="n">polygon</span><span class="p">],</span> <span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">'none'</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'white'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
|
|
||||||
</pre></div>
|
|
||||||
</div>
|
|
||||||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o"><</span><span class="n">cartopy</span><span class="o">.</span><span class="n">mpl</span><span class="o">.</span><span class="n">feature_artist</span><span class="o">.</span><span class="n">FeatureArtist</span> <span class="n">at</span> <span class="mh">0x11b971da0</span><span class="o">></span>
|
|
||||||
</pre></div>
|
|
||||||
</div>
|
|
||||||
<img alt="../../_images/Precip_Accumulation-Region_Of_Interest_7_1.png" src="../../_images/Precip_Accumulation-Region_Of_Interest_7_1.png" />
|
|
||||||
<p>Now create a new gridded data request with a geometry envelope for our
|
|
||||||
Region of Interest</p>
|
|
||||||
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">request</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">newDataRequest</span><span class="p">(</span><span class="s2">"grid"</span><span class="p">,</span> <span class="n">envelope</span><span class="o">=</span><span class="n">polygon</span><span class="p">)</span>
|
|
||||||
<span class="n">request</span><span class="o">.</span><span class="n">setLocationNames</span><span class="p">(</span><span class="s2">"HRRR"</span><span class="p">)</span>
|
|
||||||
<span class="n">request</span><span class="o">.</span><span class="n">setLevels</span><span class="p">(</span><span class="s2">"0.0SFC"</span><span class="p">)</span>
|
|
||||||
<span class="n">request</span><span class="o">.</span><span class="n">setParameters</span><span class="p">(</span><span class="s2">"TP"</span><span class="p">)</span>
|
|
||||||
|
|
||||||
<span class="n">cycles</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getAvailableTimes</span><span class="p">(</span><span class="n">request</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
|
|
||||||
<span class="n">times</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getAvailableTimes</span><span class="p">(</span><span class="n">request</span><span class="p">)</span>
|
|
||||||
<span class="n">fcstRun</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getForecastRun</span><span class="p">(</span><span class="n">cycles</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">],</span> <span class="n">times</span><span class="p">)</span>
|
|
||||||
|
|
||||||
|
|
||||||
<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">tt</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">fcstRun</span><span class="p">):</span>
|
|
||||||
<span class="n">response</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getGridData</span><span class="p">(</span><span class="n">request</span><span class="p">,</span> <span class="p">[</span><span class="n">tt</span><span class="p">])</span>
|
|
||||||
<span class="n">grid</span> <span class="o">=</span> <span class="n">response</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
|
||||||
<span class="k">if</span> <span class="n">i</span><span class="o">></span><span class="mi">0</span><span class="p">:</span>
|
|
||||||
<span class="n">data</span> <span class="o">+=</span> <span class="n">grid</span><span class="o">.</span><span class="n">getRawData</span><span class="p">()</span>
|
|
||||||
<span class="k">else</span><span class="p">:</span>
|
|
||||||
<span class="n">data</span> <span class="o">=</span> <span class="n">grid</span><span class="o">.</span><span class="n">getRawData</span><span class="p">()</span>
|
|
||||||
<span class="n">data</span><span class="p">[</span><span class="n">data</span> <span class="o"><=</span> <span class="o">-</span><span class="mi">9999</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
|
|
||||||
<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">data</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span> <span class="n">grid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getFcstTime</span><span class="p">()</span><span class="o">/</span><span class="mi">3600</span><span class="p">)</span>
|
|
||||||
|
|
||||||
|
|
||||||
<span class="n">lons</span><span class="p">,</span> <span class="n">lats</span> <span class="o">=</span> <span class="n">grid</span><span class="o">.</span><span class="n">getLatLonCoords</span><span class="p">()</span>
|
|
||||||
<span class="n">bbox</span> <span class="o">=</span> <span class="p">[</span><span class="n">lons</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">lons</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span> <span class="n">lats</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">lats</span><span class="o">.</span><span class="n">max</span><span class="p">()]</span>
|
|
||||||
<span class="n">fcstHr</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getFcstTime</span><span class="p">()</span><span class="o">/</span><span class="mi">3600</span><span class="p">)</span>
|
|
||||||
|
|
||||||
<span class="n">tp_inch</span> <span class="o">=</span> <span class="n">data</span> <span class="o">*</span> <span class="p">(</span><span class="mf">0.0393701</span><span class="p">)</span>
|
|
||||||
<span class="nb">print</span><span class="p">(</span><span class="n">tp_inch</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">tp_inch</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
|
|
||||||
|
|
||||||
<span class="k">def</span> <span class="nf">make_map</span><span class="p">(</span><span class="n">bbox</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">()):</span>
|
|
||||||
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">14</span><span class="p">),</span>
|
|
||||||
<span class="n">subplot_kw</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">projection</span><span class="p">))</span>
|
|
||||||
<span class="n">ax</span><span class="o">.</span><span class="n">set_extent</span><span class="p">(</span><span class="n">bbox</span><span class="p">)</span>
|
|
||||||
<span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span><span class="p">(</span><span class="n">resolution</span><span class="o">=</span><span class="s1">'50m'</span><span class="p">)</span>
|
|
||||||
<span class="k">return</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span>
|
|
||||||
|
|
||||||
<span class="n">cmap</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">get_cmap</span><span class="p">(</span><span class="s1">'rainbow'</span><span class="p">)</span>
|
|
||||||
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">make_map</span><span class="p">(</span><span class="n">bbox</span><span class="o">=</span><span class="n">box</span><span class="p">)</span>
|
|
||||||
<span class="n">cs</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><span class="n">lons</span><span class="p">,</span> <span class="n">lats</span><span class="p">,</span> <span class="n">tp_inch</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">)</span>
|
|
||||||
<span class="n">cbar</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">cs</span><span class="p">,</span> <span class="n">shrink</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s1">'horizontal'</span><span class="p">)</span>
|
|
||||||
<span class="n">cbar</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getLocationName</span><span class="p">()</span> <span class="o">+</span> <span class="s2">" Total precipitation in inches, "</span> \
|
|
||||||
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">fcstHr</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"-hr fcst valid "</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getRefTime</span><span class="p">()))</span>
|
|
||||||
</pre></div>
|
|
||||||
</div>
|
|
||||||
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="mf">0.0</span> <span class="mf">1.853</span> <span class="mf">1.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">3.5290003</span> <span class="mf">2.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">5.0290003</span> <span class="mf">3.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">5.051</span> <span class="mf">4.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">5.2960005</span> <span class="mf">5.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">5.2960005</span> <span class="mf">6.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">5.8269997</span> <span class="mf">7.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">6.1790004</span> <span class="mf">8.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">6.1890006</span> <span class="mf">9.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">9.071</span> <span class="mf">10.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">10.812</span> <span class="mf">11.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">14.718</span> <span class="mf">12.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">18.295</span> <span class="mf">13.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">21.339</span> <span class="mf">14.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">22.626</span> <span class="mf">15.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">28.670002</span> <span class="mf">16.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">32.334</span> <span class="mf">17.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">36.628002</span> <span class="mf">18.0</span>
|
|
||||||
<span class="mf">0.0</span> <span class="mf">1.4420482</span>
|
|
||||||
</pre></div>
|
|
||||||
</div>
|
|
||||||
<img alt="../../_images/Precip_Accumulation-Region_Of_Interest_9_1.png" src="../../_images/Precip_Accumulation-Region_Of_Interest_9_1.png" />
|
|
||||||
</section>
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547
examples/generated/Precip_Accumulation_Region_of_Interest.html
Normal file
547
examples/generated/Precip_Accumulation_Region_of_Interest.html
Normal file
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@ -0,0 +1,547 @@
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<li class="toctree-l2 current"><a class="current reference internal" href="#">Precip Accumulation Region of Interest</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="#objectives">Objectives</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="#initial-setup">2 Initial Setup</a></li>
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<li class="toctree-l4"><a class="reference internal" href="#function-calculate-accumulated-precip">3 Function: calculate_accumulated_precip()</a></li>
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<li class="toctree-l4"><a class="reference internal" href="#get-the-data">5 Get the Data!</a></li>
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<li class="toctree-l4"><a class="reference internal" href="#plot-the-data">6 Plot the Data!</a></li>
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<li class="toctree-l4"><a class="reference internal" href="#high-resolution-roi">7 High Resolution ROI</a></li>
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<li class="toctree-l4"><a class="reference internal" href="#see-also">8 See Also</a></li>
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<section id="precip-accumulation-region-of-interest">
|
||||||
|
<h1>Precip Accumulation Region of Interest<a class="headerlink" href="#precip-accumulation-region-of-interest" title="Permalink to this heading"></a></h1>
|
||||||
|
<p><a class="reference external" href="http://nbviewer.ipython.org/github/Unidata/python-awips/blob/master/examples/notebooks/Precip_Accumulation_Region_of_Interest.ipynb">Notebook</a>
|
||||||
|
Python-AWIPS Tutorial Notebook</p>
|
||||||
|
<hr class="docutils" />
|
||||||
|
<section id="objectives">
|
||||||
|
<h2>Objectives<a class="headerlink" href="#objectives" title="Permalink to this heading"></a></h2>
|
||||||
|
<ul class="simple">
|
||||||
|
<li><p>Access the model data from an EDEX server and limit the data returned
|
||||||
|
by using model specific parameters</p></li>
|
||||||
|
<li><p>Calculate the total precipitation over several model runs</p></li>
|
||||||
|
<li><p>Create a colorized plot for the continental US of the accumulated
|
||||||
|
precipitation data</p></li>
|
||||||
|
<li><p>Calculate and identify area of highest of precipitation</p></li>
|
||||||
|
<li><p>Use higher resolution data to draw region of interest</p></li>
|
||||||
|
</ul>
|
||||||
|
<hr class="docutils" />
|
||||||
|
<section id="table-of-contents">
|
||||||
|
<h3>Table of Contents<a class="headerlink" href="#table-of-contents" title="Permalink to this heading"></a></h3>
|
||||||
|
<div class="line-block">
|
||||||
|
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#imports">1
|
||||||
|
Imports</a></div>
|
||||||
|
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#initial-setup">2 Initial
|
||||||
|
Setup</a></div>
|
||||||
|
<div class="line"> <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#geographic-filter">2.1 Geographic
|
||||||
|
Filter</a></div>
|
||||||
|
<div class="line"> <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#edex-connection">2.2 EDEX
|
||||||
|
Connnection</a></div>
|
||||||
|
<div class="line"> <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#refine-the-request">2.3 Refine the
|
||||||
|
Request</a></div>
|
||||||
|
<div class="line"> <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#get-times">2.4 Get
|
||||||
|
Times</a></div>
|
||||||
|
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#function-calculate-accumulated-precip">3 Function:
|
||||||
|
calculate_accumulated_precip()</a></div>
|
||||||
|
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interes.htmlt#function-make-map">4 Function:
|
||||||
|
make_map()</a></div>
|
||||||
|
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#get-the-data">5 Get the
|
||||||
|
Data!</a></div>
|
||||||
|
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#plot-the-data">6 Plot the
|
||||||
|
Data!</a></div>
|
||||||
|
<div class="line"> <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#create-conus-image">6.1 Create CONUS
|
||||||
|
Image</a></div>
|
||||||
|
<div class="line"> <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#create-region-of-interest-image">6.2 Create Region of Interest
|
||||||
|
Image</a></div>
|
||||||
|
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colored_Surface_Temperature_Plot.html#high-resolution-roi">7 High Resolution
|
||||||
|
ROI</a></div>
|
||||||
|
<div class="line"> <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#new-data-request">7.1 New Data
|
||||||
|
Request</a></div>
|
||||||
|
<div class="line"> <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#calculate-data">7.2 Calculate
|
||||||
|
Data</a></div>
|
||||||
|
<div class="line"> <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#plot-roi">7.3 Plot
|
||||||
|
ROI</a></div>
|
||||||
|
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest#see-also">8 See
|
||||||
|
Also</a></div>
|
||||||
|
<div class="line"> <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#related-notebooks">8.1 Related
|
||||||
|
Notebooks</a></div>
|
||||||
|
<div class="line"> <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html#additional-documentation">8.2 Additional
|
||||||
|
Documentation</a></div>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
<section id="imports">
|
||||||
|
<h3>1 Imports<a class="headerlink" href="#imports" title="Permalink to this heading"></a></h3>
|
||||||
|
<p>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.</p>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">awips.dataaccess</span> <span class="kn">import</span> <span class="n">DataAccessLayer</span>
|
||||||
|
<span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
|
||||||
|
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
|
||||||
|
<span class="kn">from</span> <span class="nn">metpy.units</span> <span class="kn">import</span> <span class="n">units</span>
|
||||||
|
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||||||
|
<span class="kn">from</span> <span class="nn">shapely.geometry</span> <span class="kn">import</span> <span class="n">Point</span><span class="p">,</span> <span class="n">Polygon</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html">Top</a></p>
|
||||||
|
</section>
|
||||||
|
<hr class="docutils" />
|
||||||
|
<section id="initial-setup">
|
||||||
|
<h3>2 Initial Setup<a class="headerlink" href="#initial-setup" title="Permalink to this heading"></a></h3>
|
||||||
|
<section id="geographic-filter">
|
||||||
|
<h4>2.1 Geographic Filter<a class="headerlink" href="#geographic-filter" title="Permalink to this heading"></a></h4>
|
||||||
|
<p>By defining a bounding box for the Continental US (CONUS), we’re able to
|
||||||
|
optimize the data request sent to the EDEX server.</p>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">conus</span><span class="o">=</span><span class="p">[</span><span class="o">-</span><span class="mi">125</span><span class="p">,</span> <span class="o">-</span><span class="mi">65</span><span class="p">,</span> <span class="mi">25</span><span class="p">,</span> <span class="mi">55</span><span class="p">]</span>
|
||||||
|
<span class="n">conus_envelope</span> <span class="o">=</span> <span class="n">Polygon</span><span class="p">([(</span><span class="n">conus</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">conus</span><span class="p">[</span><span class="mi">2</span><span class="p">]),(</span><span class="n">conus</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">conus</span><span class="p">[</span><span class="mi">3</span><span class="p">]),</span>
|
||||||
|
<span class="p">(</span><span class="n">conus</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">conus</span><span class="p">[</span><span class="mi">3</span><span class="p">]),(</span><span class="n">conus</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">conus</span><span class="p">[</span><span class="mi">2</span><span class="p">]),</span>
|
||||||
|
<span class="p">(</span><span class="n">conus</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">conus</span><span class="p">[</span><span class="mi">2</span><span class="p">])])</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
<section id="edex-connection">
|
||||||
|
<h4>2.2 EDEX Connection<a class="headerlink" href="#edex-connection" title="Permalink to this heading"></a></h4>
|
||||||
|
<p>First we establish a connection to Unidata’s public EDEX server. With
|
||||||
|
that connection made, we can create a <a class="reference external" href="http://unidata.github.io/python-awips/api/IDataRequest.html">new data request
|
||||||
|
object</a>
|
||||||
|
and set the data type to <strong>grid</strong>, and use the geographic envelope we
|
||||||
|
just created.</p>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">changeEDEXHost</span><span class="p">(</span><span class="s2">"edex-cloud.unidata.ucar.edu"</span><span class="p">)</span>
|
||||||
|
<span class="n">request</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">newDataRequest</span><span class="p">(</span><span class="s2">"grid"</span><span class="p">,</span> <span class="n">envelope</span><span class="o">=</span><span class="n">conus_envelope</span><span class="p">)</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
<section id="refine-the-request">
|
||||||
|
<h4>2.3 Refine the Request<a class="headerlink" href="#refine-the-request" title="Permalink to this heading"></a></h4>
|
||||||
|
<p>Here we specify which model we’re interested in by setting the
|
||||||
|
<em>LocationNames</em>, and the specific data we’re interested in by setting
|
||||||
|
the <em>Levels</em> and <em>Parameters</em>.</p>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">request</span><span class="o">.</span><span class="n">setLocationNames</span><span class="p">(</span><span class="s2">"GFS1p0"</span><span class="p">)</span>
|
||||||
|
<span class="n">request</span><span class="o">.</span><span class="n">setLevels</span><span class="p">(</span><span class="s2">"0.0SFC"</span><span class="p">)</span>
|
||||||
|
<span class="n">request</span><span class="o">.</span><span class="n">setParameters</span><span class="p">(</span><span class="s2">"TP"</span><span class="p">)</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
<section id="get-times">
|
||||||
|
<h4>2.4 Get Times<a class="headerlink" href="#get-times" title="Permalink to this heading"></a></h4>
|
||||||
|
<p>We need to get the available times and cycles for our model data</p>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">cycles</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getAvailableTimes</span><span class="p">(</span><span class="n">request</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
|
||||||
|
<span class="n">times</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getAvailableTimes</span><span class="p">(</span><span class="n">request</span><span class="p">)</span>
|
||||||
|
<span class="n">fcstRun</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getForecastRun</span><span class="p">(</span><span class="n">cycles</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">times</span><span class="p">)</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html">Top</a></p>
|
||||||
|
</section>
|
||||||
|
</section>
|
||||||
|
<hr class="docutils" />
|
||||||
|
<section id="function-calculate-accumulated-precip">
|
||||||
|
<h3>3 Function: calculate_accumulated_precip()<a class="headerlink" href="#function-calculate-accumulated-precip" title="Permalink to this heading"></a></h3>
|
||||||
|
<p>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.</p>
|
||||||
|
<p>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.</p>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">calculate_accumulated_precip</span><span class="p">(</span><span class="n">dataRequest</span><span class="p">,</span> <span class="n">forecastRun</span><span class="p">):</span>
|
||||||
|
|
||||||
|
<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">tt</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">forecastRun</span><span class="p">):</span>
|
||||||
|
<span class="n">response</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getGridData</span><span class="p">(</span><span class="n">dataRequest</span><span class="p">,</span> <span class="p">[</span><span class="n">tt</span><span class="p">])</span>
|
||||||
|
<span class="n">grid</span> <span class="o">=</span> <span class="n">response</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
||||||
|
<span class="k">if</span> <span class="n">i</span><span class="o">></span><span class="mi">0</span><span class="p">:</span>
|
||||||
|
<span class="n">data</span> <span class="o">+=</span> <span class="n">grid</span><span class="o">.</span><span class="n">getRawData</span><span class="p">()</span>
|
||||||
|
<span class="k">else</span><span class="p">:</span>
|
||||||
|
<span class="n">data</span> <span class="o">=</span> <span class="n">grid</span><span class="o">.</span><span class="n">getRawData</span><span class="p">()</span>
|
||||||
|
<span class="n">data</span><span class="p">[</span><span class="n">data</span> <span class="o"><=</span> <span class="o">-</span><span class="mi">9999</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
|
||||||
|
<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">data</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span> <span class="n">grid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getFcstTime</span><span class="p">()</span><span class="o">/</span><span class="mi">3600</span><span class="p">)</span>
|
||||||
|
|
||||||
|
<span class="c1"># Convert from mm to inches</span>
|
||||||
|
<span class="n">result</span> <span class="o">=</span> <span class="n">data</span> <span class="o">*</span> <span class="p">(</span><span class="mf">0.0393701</span><span class="p">)</span>
|
||||||
|
|
||||||
|
<span class="n">ii</span><span class="p">,</span><span class="n">jj</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">result</span><span class="o">==</span><span class="n">result</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
|
||||||
|
<span class="n">i</span><span class="o">=</span><span class="n">ii</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
||||||
|
<span class="n">j</span><span class="o">=</span><span class="n">jj</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
||||||
|
|
||||||
|
<span class="k">return</span> <span class="n">result</span><span class="p">,</span> <span class="n">i</span><span class="p">,</span> <span class="n">j</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html">Top</a></p>
|
||||||
|
</section>
|
||||||
|
<hr class="docutils" />
|
||||||
|
<section id="fuction-make-map">
|
||||||
|
<h3>4 Fuction: make_map()<a class="headerlink" href="#fuction-make-map" title="Permalink to this heading"></a></h3>
|
||||||
|
<p>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.</p>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">make_map</span><span class="p">(</span><span class="n">bbox</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">()):</span>
|
||||||
|
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">14</span><span class="p">),</span>
|
||||||
|
<span class="n">subplot_kw</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">projection</span><span class="p">))</span>
|
||||||
|
<span class="n">ax</span><span class="o">.</span><span class="n">set_extent</span><span class="p">(</span><span class="n">bbox</span><span class="p">)</span>
|
||||||
|
<span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span><span class="p">(</span><span class="n">resolution</span><span class="o">=</span><span class="s1">'50m'</span><span class="p">)</span>
|
||||||
|
<span class="k">return</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html">Top</a></p>
|
||||||
|
</section>
|
||||||
|
<hr class="docutils" />
|
||||||
|
<section id="get-the-data">
|
||||||
|
<h3>5 Get the Data!<a class="headerlink" href="#get-the-data" title="Permalink to this heading"></a></h3>
|
||||||
|
<p>Access the data from the DataAccessLayer interface using the
|
||||||
|
<em>getGridData</em> function. Use that data to calculate the accumulated
|
||||||
|
rainfall, the maximum rainfall point, and the region of interest
|
||||||
|
bounding box.</p>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">## get the grid response from edex</span>
|
||||||
|
<span class="n">response</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getGridData</span><span class="p">(</span><span class="n">request</span><span class="p">,</span> <span class="p">[</span><span class="n">fcstRun</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]])</span>
|
||||||
|
<span class="c1">## take the first result to get the location information from</span>
|
||||||
|
<span class="n">grid</span> <span class="o">=</span> <span class="n">response</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
||||||
|
|
||||||
|
<span class="c1">## get the location coordinates and create a bounding box for our map</span>
|
||||||
|
<span class="n">lons</span><span class="p">,</span> <span class="n">lats</span> <span class="o">=</span> <span class="n">grid</span><span class="o">.</span><span class="n">getLatLonCoords</span><span class="p">()</span>
|
||||||
|
<span class="n">bbox</span> <span class="o">=</span> <span class="p">[</span><span class="n">lons</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">lons</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span> <span class="n">lats</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">lats</span><span class="o">.</span><span class="n">max</span><span class="p">()]</span>
|
||||||
|
<span class="n">fcstHr</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getFcstTime</span><span class="p">()</span><span class="o">/</span><span class="mi">3600</span><span class="p">)</span>
|
||||||
|
|
||||||
|
<span class="c1">## calculate the total precipitation</span>
|
||||||
|
<span class="n">tp_inch</span><span class="p">,</span> <span class="n">i</span><span class="p">,</span> <span class="n">j</span> <span class="o">=</span> <span class="n">calculate_accumulated_precip</span><span class="p">(</span><span class="n">request</span><span class="p">,</span> <span class="n">fcstRun</span><span class="p">)</span>
|
||||||
|
<span class="nb">print</span><span class="p">(</span><span class="n">tp_inch</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">tp_inch</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
|
||||||
|
|
||||||
|
<span class="c1">## use the max points coordinates to get the max point in lat/lon coords</span>
|
||||||
|
<span class="n">maxPoint</span> <span class="o">=</span> <span class="n">Point</span><span class="p">(</span><span class="n">lons</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">],</span> <span class="n">lats</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">])</span>
|
||||||
|
<span class="n">inc</span> <span class="o">=</span> <span class="mf">3.5</span>
|
||||||
|
<span class="c1">## create a region of interest bounding box</span>
|
||||||
|
<span class="n">roi_box</span><span class="o">=</span><span class="p">[</span><span class="n">maxPoint</span><span class="o">.</span><span class="n">x</span><span class="o">-</span><span class="n">inc</span><span class="p">,</span> <span class="n">maxPoint</span><span class="o">.</span><span class="n">x</span><span class="o">+</span><span class="n">inc</span><span class="p">,</span> <span class="n">maxPoint</span><span class="o">.</span><span class="n">y</span><span class="o">-</span><span class="n">inc</span><span class="p">,</span> <span class="n">maxPoint</span><span class="o">.</span><span class="n">y</span><span class="o">+</span><span class="n">inc</span><span class="p">]</span>
|
||||||
|
<span class="n">roi_polygon</span> <span class="o">=</span> <span class="n">Polygon</span><span class="p">([(</span><span class="n">roi_box</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">roi_box</span><span class="p">[</span><span class="mi">2</span><span class="p">]),(</span><span class="n">roi_box</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">roi_box</span><span class="p">[</span><span class="mi">3</span><span class="p">]),</span>
|
||||||
|
<span class="p">(</span><span class="n">roi_box</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">roi_box</span><span class="p">[</span><span class="mi">3</span><span class="p">]),(</span><span class="n">roi_box</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">roi_box</span><span class="p">[</span><span class="mi">2</span><span class="p">]),(</span><span class="n">roi_box</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">roi_box</span><span class="p">[</span><span class="mi">2</span><span class="p">])])</span>
|
||||||
|
|
||||||
|
<span class="nb">print</span><span class="p">(</span><span class="n">maxPoint</span><span class="p">)</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="mf">0.0</span> <span class="mf">10.0625</span> <span class="mf">6.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">21.75</span> <span class="mf">12.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">35.1875</span> <span class="mf">18.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">43.5</span> <span class="mf">24.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">45.5625</span> <span class="mf">42.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">47.9375</span> <span class="mf">48.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">52.0625</span> <span class="mf">54.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">56.375</span> <span class="mf">60.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">86.625</span> <span class="mf">66.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">92.4375</span> <span class="mf">72.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">94.375</span> <span class="mf">78.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">95.375</span> <span class="mf">84.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">98.3125</span> <span class="mf">90.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">100.125</span> <span class="mf">96.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">101.6875</span> <span class="mf">102.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">104.0</span> <span class="mf">108.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">107.1875</span> <span class="mf">114.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">115.25</span> <span class="mf">120.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">129.0</span> <span class="mf">126.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">136.375</span> <span class="mf">132.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">141.125</span> <span class="mf">138.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">145.25</span> <span class="mf">144.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">147.375</span> <span class="mf">150.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">5.802169</span>
|
||||||
|
<span class="n">POINT</span> <span class="p">(</span><span class="o">-</span><span class="mi">124</span> <span class="mi">42</span><span class="p">)</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html">Top</a></p>
|
||||||
|
</section>
|
||||||
|
<hr class="docutils" />
|
||||||
|
<section id="plot-the-data">
|
||||||
|
<h3>6 Plot the Data!<a class="headerlink" href="#plot-the-data" title="Permalink to this heading"></a></h3>
|
||||||
|
<section id="create-conus-image">
|
||||||
|
<h4>6.1 Create CONUS Image<a class="headerlink" href="#create-conus-image" title="Permalink to this heading"></a></h4>
|
||||||
|
<p>Plot our data on our CONUS map.</p>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">cmap</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">get_cmap</span><span class="p">(</span><span class="s1">'rainbow'</span><span class="p">)</span>
|
||||||
|
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">make_map</span><span class="p">(</span><span class="n">bbox</span><span class="o">=</span><span class="n">bbox</span><span class="p">)</span>
|
||||||
|
<span class="n">cs</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><span class="n">lons</span><span class="p">,</span> <span class="n">lats</span><span class="p">,</span> <span class="n">tp_inch</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">)</span>
|
||||||
|
<span class="n">cbar</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">cs</span><span class="p">,</span> <span class="n">shrink</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s1">'horizontal'</span><span class="p">)</span>
|
||||||
|
<span class="n">cbar</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getLocationName</span><span class="p">()</span> <span class="o">+</span> <span class="s2">" Total precipitation in inches, "</span> \
|
||||||
|
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">fcstHr</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"-hr fcst valid "</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getRefTime</span><span class="p">()))</span>
|
||||||
|
|
||||||
|
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">maxPoint</span><span class="o">.</span><span class="n">x</span><span class="p">,</span> <span class="n">maxPoint</span><span class="o">.</span><span class="n">y</span><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">300</span><span class="p">,</span>
|
||||||
|
<span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span><span class="n">marker</span><span class="o">=</span><span class="s2">"+"</span><span class="p">,</span><span class="n">facecolor</span><span class="o">=</span><span class="s1">'black'</span><span class="p">)</span>
|
||||||
|
|
||||||
|
<span class="n">ax</span><span class="o">.</span><span class="n">add_geometries</span><span class="p">([</span><span class="n">roi_polygon</span><span class="p">],</span> <span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">'none'</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'white'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o"><</span><span class="n">cartopy</span><span class="o">.</span><span class="n">mpl</span><span class="o">.</span><span class="n">feature_artist</span><span class="o">.</span><span class="n">FeatureArtist</span> <span class="n">at</span> <span class="mh">0x13eb32340</span><span class="o">></span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<img alt="../../_images/Precip_Accumulation_Region_of_Interest_27_1.png" src="../../_images/Precip_Accumulation_Region_of_Interest_27_1.png" />
|
||||||
|
</section>
|
||||||
|
<section id="create-region-of-interest-image">
|
||||||
|
<h4>6.2 Create Region of Interest Image<a class="headerlink" href="#create-region-of-interest-image" title="Permalink to this heading"></a></h4>
|
||||||
|
<p>Now crop the data and zoom in on the region of interest (ROI) to create
|
||||||
|
a new plot.</p>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># cmap = plt.get_cmap('rainbow')</span>
|
||||||
|
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">make_map</span><span class="p">(</span><span class="n">bbox</span><span class="o">=</span><span class="n">roi_box</span><span class="p">)</span>
|
||||||
|
|
||||||
|
<span class="n">cs</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><span class="n">lons</span><span class="p">,</span> <span class="n">lats</span><span class="p">,</span> <span class="n">tp_inch</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">)</span>
|
||||||
|
<span class="n">cbar</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">cs</span><span class="p">,</span> <span class="n">shrink</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s1">'horizontal'</span><span class="p">)</span>
|
||||||
|
<span class="n">cbar</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getLocationName</span><span class="p">()</span> <span class="o">+</span> <span class="s2">" Total precipitation in inches, "</span> \
|
||||||
|
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">fcstHr</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"-hr fcst valid "</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getRefTime</span><span class="p">()))</span>
|
||||||
|
|
||||||
|
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">maxPoint</span><span class="o">.</span><span class="n">x</span><span class="p">,</span> <span class="n">maxPoint</span><span class="o">.</span><span class="n">y</span><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">300</span><span class="p">,</span>
|
||||||
|
<span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span><span class="n">marker</span><span class="o">=</span><span class="s2">"+"</span><span class="p">,</span><span class="n">facecolor</span><span class="o">=</span><span class="s1">'black'</span><span class="p">)</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o"><</span><span class="n">matplotlib</span><span class="o">.</span><span class="n">collections</span><span class="o">.</span><span class="n">PathCollection</span> <span class="n">at</span> <span class="mh">0x13ed521c0</span><span class="o">></span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<img alt="../../_images/Precip_Accumulation_Region_of_Interest_29_1.png" src="../../_images/Precip_Accumulation_Region_of_Interest_29_1.png" />
|
||||||
|
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html">Top</a></p>
|
||||||
|
</section>
|
||||||
|
</section>
|
||||||
|
<hr class="docutils" />
|
||||||
|
<section id="high-resolution-roi">
|
||||||
|
<h3>7 High Resolution ROI<a class="headerlink" href="#high-resolution-roi" title="Permalink to this heading"></a></h3>
|
||||||
|
<section id="new-data-request">
|
||||||
|
<h4>7.1 New Data Request<a class="headerlink" href="#new-data-request" title="Permalink to this heading"></a></h4>
|
||||||
|
<p>To see the region of interest more clearly, we can redo the process with
|
||||||
|
a higher resolution model (GFS20 vs. GFS1.0).</p>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">roiRequest</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">newDataRequest</span><span class="p">(</span><span class="s2">"grid"</span><span class="p">,</span> <span class="n">envelope</span><span class="o">=</span><span class="n">conus_envelope</span><span class="p">)</span>
|
||||||
|
<span class="n">roiRequest</span><span class="o">.</span><span class="n">setLocationNames</span><span class="p">(</span><span class="s2">"GFS20"</span><span class="p">)</span>
|
||||||
|
<span class="n">roiRequest</span><span class="o">.</span><span class="n">setLevels</span><span class="p">(</span><span class="s2">"0.0SFC"</span><span class="p">)</span>
|
||||||
|
<span class="n">roiRequest</span><span class="o">.</span><span class="n">setParameters</span><span class="p">(</span><span class="s2">"TP"</span><span class="p">)</span>
|
||||||
|
|
||||||
|
<span class="n">roiCycles</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getAvailableTimes</span><span class="p">(</span><span class="n">roiRequest</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
|
||||||
|
<span class="n">roiTimes</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getAvailableTimes</span><span class="p">(</span><span class="n">roiRequest</span><span class="p">)</span>
|
||||||
|
<span class="n">roiFcstRun</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getForecastRun</span><span class="p">(</span><span class="n">roiCycles</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">roiTimes</span><span class="p">)</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
<section id="calculate-data">
|
||||||
|
<h4>7.2 Calculate Data<a class="headerlink" href="#calculate-data" title="Permalink to this heading"></a></h4>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">roiResponse</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getGridData</span><span class="p">(</span><span class="n">roiRequest</span><span class="p">,</span> <span class="p">[</span><span class="n">roiFcstRun</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]])</span>
|
||||||
|
<span class="nb">print</span><span class="p">(</span><span class="n">roiResponse</span><span class="p">)</span>
|
||||||
|
<span class="n">roiGrid</span> <span class="o">=</span> <span class="n">roiResponse</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
||||||
|
|
||||||
|
<span class="n">roiLons</span><span class="p">,</span> <span class="n">roiLats</span> <span class="o">=</span> <span class="n">roiGrid</span><span class="o">.</span><span class="n">getLatLonCoords</span><span class="p">()</span>
|
||||||
|
|
||||||
|
<span class="n">roi_data</span><span class="p">,</span> <span class="n">i</span><span class="p">,</span> <span class="n">j</span> <span class="o">=</span> <span class="n">calculate_accumulated_precip</span><span class="p">(</span><span class="n">roiRequest</span><span class="p">,</span> <span class="n">roiFcstRun</span><span class="p">)</span>
|
||||||
|
|
||||||
|
<span class="n">roiFcstHr</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">roiGrid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getFcstTime</span><span class="p">()</span><span class="o">/</span><span class="mi">3600</span><span class="p">)</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">[</span><span class="o"><</span><span class="n">awips</span><span class="o">.</span><span class="n">dataaccess</span><span class="o">.</span><span class="n">PyGridData</span><span class="o">.</span><span class="n">PyGridData</span> <span class="nb">object</span> <span class="n">at</span> <span class="mh">0x13ecb4eb0</span><span class="o">></span><span class="p">]</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">22.5625</span> <span class="mf">3.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">35.375</span> <span class="mf">6.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">38.375</span> <span class="mf">9.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">38.375</span> <span class="mf">12.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">41.375</span> <span class="mf">15.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">48.625</span> <span class="mf">18.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">73.0625</span> <span class="mf">30.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">94.9375</span> <span class="mf">33.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">96.125</span> <span class="mf">36.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">97.0</span> <span class="mf">39.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">99.375</span> <span class="mf">45.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">100.0625</span> <span class="mf">48.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">100.25</span> <span class="mf">51.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">100.4375</span> <span class="mf">57.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">100.4375</span> <span class="mf">63.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">118.25</span> <span class="mf">66.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">127.625</span> <span class="mf">69.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">131.125</span> <span class="mf">75.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">131.375</span> <span class="mf">78.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">131.5</span> <span class="mf">81.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">131.875</span> <span class="mf">84.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">132.875</span> <span class="mf">90.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">133.375</span> <span class="mf">96.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">139.1875</span> <span class="mf">102.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">141.625</span> <span class="mf">120.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">141.75</span> <span class="mf">126.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">142.1875</span> <span class="mf">132.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">143.375</span> <span class="mf">138.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">148.6875</span> <span class="mf">144.0</span>
|
||||||
|
<span class="mf">0.0</span> <span class="mf">156.25</span> <span class="mf">150.0</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
<section id="plot-roi">
|
||||||
|
<h4>7.3 Plot ROI<a class="headerlink" href="#plot-roi" title="Permalink to this heading"></a></h4>
|
||||||
|
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># cmap = plt.get_cmap('rainbow')</span>
|
||||||
|
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">make_map</span><span class="p">(</span><span class="n">bbox</span><span class="o">=</span><span class="n">roi_box</span><span class="p">)</span>
|
||||||
|
|
||||||
|
<span class="n">cs</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><span class="n">roiLons</span><span class="p">,</span> <span class="n">roiLats</span><span class="p">,</span> <span class="n">roi_data</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">)</span>
|
||||||
|
<span class="n">cbar</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">cs</span><span class="p">,</span> <span class="n">shrink</span><span class="o">=</span><span class="mf">0.7</span><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s1">'horizontal'</span><span class="p">)</span>
|
||||||
|
<span class="n">cbar</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="n">roiGrid</span><span class="o">.</span><span class="n">getLocationName</span><span class="p">()</span> <span class="o">+</span> <span class="s2">" Total precipitation in inches, "</span> \
|
||||||
|
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">roiFcstHr</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"-hr fcst valid "</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">roiGrid</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">()</span><span class="o">.</span><span class="n">getRefTime</span><span class="p">()))</span>
|
||||||
|
|
||||||
|
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">maxPoint</span><span class="o">.</span><span class="n">x</span><span class="p">,</span> <span class="n">maxPoint</span><span class="o">.</span><span class="n">y</span><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">300</span><span class="p">,</span>
|
||||||
|
<span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span><span class="n">marker</span><span class="o">=</span><span class="s2">"+"</span><span class="p">,</span><span class="n">facecolor</span><span class="o">=</span><span class="s1">'black'</span><span class="p">)</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">/</span><span class="n">Users</span><span class="o">/</span><span class="n">scarter</span><span class="o">/</span><span class="n">opt</span><span class="o">/</span><span class="n">miniconda3</span><span class="o">/</span><span class="n">envs</span><span class="o">/</span><span class="n">python3</span><span class="o">-</span><span class="n">awips</span><span class="o">/</span><span class="n">lib</span><span class="o">/</span><span class="n">python3</span><span class="mf">.9</span><span class="o">/</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="o">/</span><span class="n">cartopy</span><span class="o">/</span><span class="n">mpl</span><span class="o">/</span><span class="n">geoaxes</span><span class="o">.</span><span class="n">py</span><span class="p">:</span><span class="mi">1702</span><span class="p">:</span> <span class="ne">UserWarning</span><span class="p">:</span> <span class="n">The</span> <span class="nb">input</span> <span class="n">coordinates</span> <span class="n">to</span> <span class="n">pcolormesh</span> <span class="n">are</span> <span class="n">interpreted</span> <span class="k">as</span> <span class="n">cell</span> <span class="n">centers</span><span class="p">,</span> <span class="n">but</span> <span class="n">are</span> <span class="ow">not</span> <span class="n">monotonically</span> <span class="n">increasing</span> <span class="ow">or</span> <span class="n">decreasing</span><span class="o">.</span> <span class="n">This</span> <span class="n">may</span> <span class="n">lead</span> <span class="n">to</span> <span class="n">incorrectly</span> <span class="n">calculated</span> <span class="n">cell</span> <span class="n">edges</span><span class="p">,</span> <span class="ow">in</span> <span class="n">which</span> <span class="n">case</span><span class="p">,</span> <span class="n">please</span> <span class="n">supply</span> <span class="n">explicit</span> <span class="n">cell</span> <span class="n">edges</span> <span class="n">to</span> <span class="n">pcolormesh</span><span class="o">.</span>
|
||||||
|
<span class="n">X</span><span class="p">,</span> <span class="n">Y</span><span class="p">,</span> <span class="n">C</span><span class="p">,</span> <span class="n">shading</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pcolorargs</span><span class="p">(</span><span class="s1">'pcolormesh'</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span>
|
||||||
|
</pre></div>
|
||||||
|
</div>
|
||||||
|
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o"><</span><span class="n">matplotlib</span><span class="o">.</span><span class="n">collections</span><span class="o">.</span><span class="n">PathCollection</span> <span class="n">at</span> <span class="mh">0x13edc39a0</span><span class="o">></span>
|
||||||
|
</pre></div>
|
||||||
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</div>
|
||||||
|
<img alt="../../_images/Precip_Accumulation_Region_of_Interest_37_2.png" src="../../_images/Precip_Accumulation_Region_of_Interest_37_2.png" />
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||||||
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<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html">Top</a></p>
|
||||||
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</section>
|
||||||
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</section>
|
||||||
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<hr class="docutils" />
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||||||
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<section id="see-also">
|
||||||
|
<h3>8 See Also<a class="headerlink" href="#see-also" title="Permalink to this heading"></a></h3>
|
||||||
|
<section id="related-notebooks">
|
||||||
|
<h4>8.1 Related Notebooks<a class="headerlink" href="#related-notebooks" title="Permalink to this heading"></a></h4>
|
||||||
|
<ul class="simple">
|
||||||
|
<li><p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Colorized_Grid_Data.html">Colorized Grid
|
||||||
|
Data</a></p></li>
|
||||||
|
<li><p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Grid_Levels_and_Parameters.html">Grid Levels and
|
||||||
|
Parameters</a></p></li>
|
||||||
|
</ul>
|
||||||
|
</section>
|
||||||
|
<section id="additional-documentation">
|
||||||
|
<h4>8.2 Additional Documentation<a class="headerlink" href="#additional-documentation" title="Permalink to this heading"></a></h4>
|
||||||
|
<p><strong>python-awips:</strong> *
|
||||||
|
<a class="reference external" href="http://unidata.github.io/python-awips/api/DataAccessLayer.html">awips.DataAccessLayer</a>
|
||||||
|
*
|
||||||
|
<a class="reference external" href="http://unidata.github.io/python-awips/api/PyGridData.html">awips.PyGridData</a></p>
|
||||||
|
<p><strong>matplotlib:</strong> *
|
||||||
|
<a class="reference external" href="https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.html">matplotlib.pyplot</a>
|
||||||
|
*
|
||||||
|
<a class="reference external" href="https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.subplot.html">matplotlib.pyplot.subplot</a>
|
||||||
|
*
|
||||||
|
<a class="reference external" href="https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.pcolormesh.html">matplotlib.pyplot.pcolormesh</a></p>
|
||||||
|
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Precip_Accumulation_Region_of_Interest.html">Top</a></p>
|
||||||
|
<hr class="docutils" />
|
||||||
|
</section>
|
||||||
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</section>
|
||||||
|
</section>
|
||||||
|
</section>
|
||||||
|
|
||||||
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||||||
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</div>
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<hr/>
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||||||
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||||||
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<div role="contentinfo">
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<p>© Copyright 2018, Unidata.</p>
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@ -21,7 +21,7 @@
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<link rel="index" title="Index" href="../../genindex.html" />
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<link rel="index" title="Index" href="../../genindex.html" />
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<link rel="search" title="Search" href="../../search.html" />
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<body class="wy-body-for-nav">
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@ -59,7 +59,7 @@
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<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
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||||||
<li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
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<li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
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<li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
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<li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Precip_Accumulation-Region_Of_Interest.html">Precip Accumulation-Region Of Interest</a></li>
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<li class="toctree-l2"><a class="reference internal" href="Precip_Accumulation_Region_of_Interest.html">Precip Accumulation Region of Interest</a></li>
|
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<li class="toctree-l2 current"><a class="current reference internal" href="#">Regional Surface Obs Plot</a><ul>
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<li class="toctree-l2 current"><a class="current reference internal" href="#">Regional Surface Obs Plot</a><ul>
|
||||||
<li class="toctree-l3"><a class="reference internal" href="#objectives">Objectives</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="#objectives">Objectives</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="#table-of-contents">Table of Contents</a></li>
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@ -695,7 +695,7 @@ list</a></p></li>
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||||||
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|
|
||||||
|
|
@ -59,7 +59,7 @@
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Precip_Accumulation-Region_Of_Interest.html">Precip Accumulation-Region Of Interest</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Precip_Accumulation_Region_of_Interest.html">Precip Accumulation Region of Interest</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Regional_Surface_Obs_Plot.html">Regional Surface Obs Plot</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Regional_Surface_Obs_Plot.html">Regional Surface Obs Plot</a></li>
|
||||||
<li class="toctree-l2 current"><a class="current reference internal" href="#">Satellite Imagery</a><ul>
|
<li class="toctree-l2 current"><a class="current reference internal" href="#">Satellite Imagery</a><ul>
|
||||||
<li class="toctree-l3"><a class="reference internal" href="#available-sources-creating-entities-sectors-and-products">Available Sources, Creating Entities, Sectors, and Products</a><ul>
|
<li class="toctree-l3"><a class="reference internal" href="#available-sources-creating-entities-sectors-and-products">Available Sources, Creating Entities, Sectors, and Products</a><ul>
|
||||||
|
|
|
||||||
|
|
@ -59,7 +59,7 @@
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Precip_Accumulation-Region_Of_Interest.html">Precip Accumulation-Region Of Interest</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Precip_Accumulation_Region_of_Interest.html">Precip Accumulation Region of Interest</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Regional_Surface_Obs_Plot.html">Regional Surface Obs Plot</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Regional_Surface_Obs_Plot.html">Regional Surface Obs Plot</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Satellite_Imagery.html">Satellite Imagery</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Satellite_Imagery.html">Satellite Imagery</a></li>
|
||||||
<li class="toctree-l2 current"><a class="current reference internal" href="#">Upper Air BUFR Soundings</a><ul>
|
<li class="toctree-l2 current"><a class="current reference internal" href="#">Upper Air BUFR Soundings</a><ul>
|
||||||
|
|
|
||||||
|
|
@ -59,7 +59,7 @@
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Model_Sounding_Data.html">Model Sounding Data</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Precip_Accumulation-Region_Of_Interest.html">Precip Accumulation-Region Of Interest</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Precip_Accumulation_Region_of_Interest.html">Precip Accumulation Region of Interest</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Regional_Surface_Obs_Plot.html">Regional Surface Obs Plot</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Regional_Surface_Obs_Plot.html">Regional Surface Obs Plot</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Satellite_Imagery.html">Satellite Imagery</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Satellite_Imagery.html">Satellite Imagery</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="Upper_Air_BUFR_Soundings.html">Upper Air BUFR Soundings</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="Upper_Air_BUFR_Soundings.html">Upper Air BUFR Soundings</a></li>
|
||||||
|
|
|
||||||
|
|
@ -59,7 +59,7 @@
|
||||||
<li class="toctree-l2"><a class="reference internal" href="generated/Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="generated/Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="generated/Model_Sounding_Data.html">Model Sounding Data</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="generated/Model_Sounding_Data.html">Model Sounding Data</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="generated/NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="generated/NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="generated/Precip_Accumulation-Region_Of_Interest.html">Precip Accumulation-Region Of Interest</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="generated/Precip_Accumulation_Region_of_Interest.html">Precip Accumulation Region of Interest</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="generated/Regional_Surface_Obs_Plot.html">Regional Surface Obs Plot</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="generated/Regional_Surface_Obs_Plot.html">Regional Surface Obs Plot</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="generated/Satellite_Imagery.html">Satellite Imagery</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="generated/Satellite_Imagery.html">Satellite Imagery</a></li>
|
||||||
<li class="toctree-l2"><a class="reference internal" href="generated/Upper_Air_BUFR_Soundings.html">Upper Air BUFR Soundings</a></li>
|
<li class="toctree-l2"><a class="reference internal" href="generated/Upper_Air_BUFR_Soundings.html">Upper Air BUFR Soundings</a></li>
|
||||||
|
|
@ -108,7 +108,7 @@
|
||||||
<li class="toctree-l1"><a class="reference internal" href="generated/Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
<li class="toctree-l1"><a class="reference internal" href="generated/Map_Resources_and_Topography.html">Map Resources and Topography</a></li>
|
||||||
<li class="toctree-l1"><a class="reference internal" href="generated/Model_Sounding_Data.html">Model Sounding Data</a></li>
|
<li class="toctree-l1"><a class="reference internal" href="generated/Model_Sounding_Data.html">Model Sounding Data</a></li>
|
||||||
<li class="toctree-l1"><a class="reference internal" href="generated/NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
<li class="toctree-l1"><a class="reference internal" href="generated/NEXRAD_Level3_Radar.html">NEXRAD Level3 Radar</a></li>
|
||||||
<li class="toctree-l1"><a class="reference internal" href="generated/Precip_Accumulation-Region_Of_Interest.html">Precip Accumulation-Region Of Interest</a></li>
|
<li class="toctree-l1"><a class="reference internal" href="generated/Precip_Accumulation_Region_of_Interest.html">Precip Accumulation Region of Interest</a></li>
|
||||||
<li class="toctree-l1"><a class="reference internal" href="generated/Regional_Surface_Obs_Plot.html">Regional Surface Obs Plot</a></li>
|
<li class="toctree-l1"><a class="reference internal" href="generated/Regional_Surface_Obs_Plot.html">Regional Surface Obs Plot</a></li>
|
||||||
<li class="toctree-l1"><a class="reference internal" href="generated/Satellite_Imagery.html">Satellite Imagery</a></li>
|
<li class="toctree-l1"><a class="reference internal" href="generated/Satellite_Imagery.html">Satellite Imagery</a></li>
|
||||||
<li class="toctree-l1"><a class="reference internal" href="generated/Upper_Air_BUFR_Soundings.html">Upper Air BUFR Soundings</a></li>
|
<li class="toctree-l1"><a class="reference internal" href="generated/Upper_Air_BUFR_Soundings.html">Upper Air BUFR Soundings</a></li>
|
||||||
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|
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