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This notebook was - written for the NAM 40km AWIPS model where temperature and dewpoint - are returned as Kelvin and wind components as m/s. +-------------- + +1 Imports +--------- + +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. .. code:: ipython3 - %matplotlib inline from awips.dataaccess import DataAccessLayer, ModelSounding - from awips import ThriftClient import matplotlib.pyplot as plt import numpy as np from metpy.plots import SkewT, Hodograph from metpy.units import units from mpl_toolkits.axes_grid1.inset_locator import inset_axes from math import sqrt - from datetime import datetime, timedelta - from shapely.geometry import Point, Polygon - import shapely.wkb - import timeit - model="NAM40" - parms = ['T','DpT','uW','vW'] + from shapely.geometry import Point + +`Top `__ + +-------------- + +2 EDEX Connection +----------------- + +First we establish a connection to Unidata’s public EDEX server. This +sets the proper server on the **DataAccessLayer**, which we will use +numerous times throughout the notebook. + +.. code:: ipython3 + server = 'edex-cloud.unidata.ucar.edu' DataAccessLayer.changeEDEXHost(server) - - # note the order is LON,lat and not lat,LON + +`Top `__ + +-------------- + +3 Define Useful Variables +------------------------- + +The plotting in this notebook needs a model name, a location point +(defined by latitude and longitude), and the most recent time range with +the initial forecast run. + +.. code:: ipython3 + + # Note the order is Lon,Lat and not Lat,Lon point = Point(-104.67,39.87) - - inc = 0.005 - bbox=[point.y-inc, point.y+inc, point.x-inc, point.x+inc] - polygon = Polygon([(bbox[0],bbox[2]),(bbox[0],bbox[3]), - (bbox[1],bbox[3]),(bbox[1],bbox[2]), - (bbox[0],bbox[2])]) + model="NAM40" # Get latest forecast cycle run timeReq = DataAccessLayer.newDataRequest("grid") @@ -54,276 +87,332 @@ any available AWIPS model with isobaric levels. times = DataAccessLayer.getAvailableTimes(timeReq) fcstRun = DataAccessLayer.getForecastRun(cycles[-2], times) - print("Using " + model + " forecast time " + str(fcstRun[0])) + timeRange = [fcstRun[0]] + + print("Using " + model + " forecast time " + str(timeRange)) .. parsed-literal:: - Using NAM40 forecast time 2023-05-17 12:00:00 + Using NAM40 forecast time [] -.. code:: ipython3 - - p,t,d,u,v = [],[],[],[],[] - use_parms = ['T','DpT','uW','vW','P'] - use_level = "0.0FHAG" - sndObject = ModelSounding.getSounding(model, use_parms, - ["0.0FHAG"], point, timeRange=[fcstRun[0]]) - if len(sndObject) > 0: - for time in sndObject._dataDict: - p.append(float(sndObject._dataDict[time][use_level]['P'])) - t.append(float(sndObject._dataDict[time][use_level]['T'])) - d.append(float(sndObject._dataDict[time][use_level]['DpT'])) - u.append(float(sndObject._dataDict[time][use_level]['uW'])) - v.append(float(sndObject._dataDict[time][use_level]['vW'])) - print("Found surface record at " + "%.1f" % p[0] + "MB") - else: - raise ValueError("sndObject returned empty for query [" - + ', '.join(str(x) for x in (model, use_parms, point, use_level)) +"]") - - - - -.. parsed-literal:: - - Found surface record at 830.1MB - - -.. code:: ipython3 - - - # Get isobaric levels with our requested parameters - levelReq = DataAccessLayer.newDataRequest("grid", envelope=point) - levelReq.setLocationNames(model) - levelReq.setParameters('T','DpT','uW','vW') - availableLevels = DataAccessLayer.getAvailableLevels(levelReq) - - # Clean levels list of unit string (MB, FHAG, etc.) - levels = [] - for lvl in availableLevels: - name=str(lvl) - if 'MB' in name and '_' not in name: - # If this level is above (less than in mb) our 0.0FHAG record - if float(name.replace('MB','')) < p[0]: - levels.append(lvl) - - # Get Sounding - sndObject = ModelSounding.getSounding(model, parms, levels, point, - timeRange=[fcstRun[0]]) - - if not len(sndObject) > 0: - raise ValueError("sndObject returned empty for query [" - + ', '.join(str(x) for x in (model, parms, point, levels)) +"]") - - for time in sndObject._dataDict: - for lvl in sndObject._dataDict[time].levels(): - for parm in sndObject._dataDict[time][lvl].parameters(): - if parm == "T": - t.append(float(sndObject._dataDict[time][lvl][parm])) - elif parm == "DpT": - d.append(float(sndObject._dataDict[time][lvl][parm])) - elif parm == 'uW': - u.append(float(sndObject._dataDict[time][lvl][parm])) - elif parm == 'vW': - v.append(float(sndObject._dataDict[time][lvl][parm])) - else: - print("WHAT IS THIS") - print(sndObject._dataDict[time][lvl][parm]) - # Pressure is our requested level rather than a returned parameter - p.append(float(lvl.replace('MB',''))) - - # convert to numpy.array() - p = np.array(p, dtype=float) - t = (np.array(t, dtype=float) - 273.15) * units.degC - d = (np.array(d, dtype=float) - 273.15) * units.degC - u = (np.array(u, dtype=float) * units('m/s')).to('knots') - v = (np.array(v, dtype=float) * units('m/s')).to('knots') - w = np.sqrt(u**2 + v**2) - - print("Using " + str(len(levels)) + " levels between " + - str("%.1f" % max(p)) + " and " + str("%.1f" % min(p)) + "MB") - - -.. parsed-literal:: - - Using 32 levels between 830.1 and 50.0MB - +`Top `__ -------------- -Skew-T/Log-P ------------- +4 Function: get_surface_data() +------------------------------ + +This function is used to get the initial forecast model data for surface +height. This is done separately from the rest of the heights to +determine the surface pressure. It uses the +`ModelSounding `__ +data object from python-awips to retrieve all the relevant information. + +This function takes the model name, location, and time as attributes, +and returns arrays for pressure, temperature, dewpoint, and the u and v +wind components. .. code:: ipython3 - plt.rcParams['figure.figsize'] = (12, 14) - - # Skew-T - skew = SkewT(rotation=45) - skew.plot(p, t, 'r', linewidth=2) - skew.plot(p, d, 'g', linewidth=2) - skew.plot_barbs(p, u, v) - skew.plot_dry_adiabats() - skew.plot_moist_adiabats() - skew.plot_mixing_lines(linestyle=':') - - skew.ax.set_ylim(1000, np.min(p)) - skew.ax.set_xlim(-50, 40) - - # Title - plt.title( model + " (" + str(point) + ") " + str(time.getRefTime())) - - # Hodograph - ax_hod = inset_axes(skew.ax, '40%', '40%', loc=2) - h = Hodograph(ax_hod, component_range=max(w.magnitude)) - h.add_grid(increment=20) - h.plot_colormapped(u, v, w) - - # Dotted line at 0C isotherm - l = skew.ax.axvline(0, color='c', linestyle='-', linewidth=1) - - plt.show() - - - -.. image:: Forecast_Model_Vertical_Sounding_files/Forecast_Model_Vertical_Sounding_5_0.png - - -Model Sounding Comparison -------------------------- - -.. code:: ipython3 - - models = ["RAP13", "GFS20", "NAM40"] - parms = ['T','DpT','uW','vW'] - - for modelName in models: - timeReq = DataAccessLayer.newDataRequest("grid") - timeReq.setLocationNames(modelName) - cycles = DataAccessLayer.getAvailableTimes(timeReq, True) - times = DataAccessLayer.getAvailableTimes(timeReq) - fcstRun = DataAccessLayer.getForecastRun(cycles[-1], times) - print("Using " + modelName + " forecast time " + str(fcstRun[0])) + def get_surface_data(modelName, location, time): + """ model name, location, and timeRange desire """ - p,t,d,u,v = [],[],[],[],[] + # request data and sort response + pressure,temp,dpt,ucomp,vcomp = [],[],[],[],[] use_parms = ['T','DpT','uW','vW','P'] use_level = "0.0FHAG" - sndObject = ModelSounding.getSounding(modelName, use_parms, - [use_level], point, timeRange=[fcstRun[0]]) + sndObject = ModelSounding.getSounding(modelName, use_parms, [use_level], location, time) if len(sndObject) > 0: for time in sndObject._dataDict: - p.append(float(sndObject._dataDict[time][use_level]['P'])) - t.append(float(sndObject._dataDict[time][use_level]['T'])) - d.append(float(sndObject._dataDict[time][use_level]['DpT'])) - u.append(float(sndObject._dataDict[time][use_level]['uW'])) - v.append(float(sndObject._dataDict[time][use_level]['vW'])) - print("Found surface record at " + "%.1f" % p[0] + "MB") + pressure.append(float(sndObject._dataDict[time][use_level]['P'])) + temp.append(float(sndObject._dataDict[time][use_level]['T'])) + dpt.append(float(sndObject._dataDict[time][use_level]['DpT'])) + ucomp.append(float(sndObject._dataDict[time][use_level]['uW'])) + vcomp.append(float(sndObject._dataDict[time][use_level]['vW'])) + print("Found surface record at " + "%.1f" % pressure[0] + "MB") else: raise ValueError("sndObject returned empty for query [" + ', '.join(str(x) for x in (modelName, use_parms, point, use_level)) +"]") - + + # return information for plotting + return pressure,temp,dpt,ucomp,vcomp + +Top + +-------------- + +5 Function: get_levels_data() +----------------------------- + +This function is similar to *get_surface_data()*, except it gets data +values for presure heights above the surface. It uses the +`ModelSounding `__ +data object from python-awips to retrieve all the relevant information. + +It takes the model name, location, and time (similar to the other +function), and also takes the instantiated pressure, temperature, +dewpoint, and wind vector arrays. + +It returns the fully populated pressure, temperature, dewpoint, +u-component, v-component, and computed wind arrays. + +.. code:: ipython3 + + def get_levels_data(modelName, location, time, pressure, temp, dpt, ucomp, vcomp): + # Get isobaric levels with our requested parameters + parms = ['T','DpT','uW','vW'] levelReq = DataAccessLayer.newDataRequest("grid", envelope=point) - levelReq.setLocationNames(modelName) - levelReq.setParameters('T','DpT','uW','vW') + levelReq.setLocationNames(model) + levelReq.setParameters(*(parms)) availableLevels = DataAccessLayer.getAvailableLevels(levelReq) + # Clean levels list of unit string (MB, FHAG, etc.) levels = [] for lvl in availableLevels: name=str(lvl) if 'MB' in name and '_' not in name: # If this level is above (less than in mb) our 0.0FHAG record - if float(name.replace('MB','')) < p[0]: + if float(name.replace('MB','')) < pressure[0]: levels.append(lvl) - + # Get Sounding - sndObject = ModelSounding.getSounding(modelName, parms, levels, point, - timeRange=[fcstRun[0]]) + sndObject = ModelSounding.getSounding(modelName, parms, levels, location, time) + if not len(sndObject) > 0: raise ValueError("sndObject returned empty for query [" - + ', '.join(str(x) for x in (modelName, parms, point, levels)) +"]") + + ', '.join(str(x) for x in (model, parms, point, levels)) +"]") + for time in sndObject._dataDict: for lvl in sndObject._dataDict[time].levels(): for parm in sndObject._dataDict[time][lvl].parameters(): if parm == "T": - t.append(float(sndObject._dataDict[time][lvl][parm])) + temp.append(float(sndObject._dataDict[time][lvl][parm])) elif parm == "DpT": - d.append(float(sndObject._dataDict[time][lvl][parm])) + dpt.append(float(sndObject._dataDict[time][lvl][parm])) elif parm == 'uW': - u.append(float(sndObject._dataDict[time][lvl][parm])) + ucomp.append(float(sndObject._dataDict[time][lvl][parm])) elif parm == 'vW': - v.append(float(sndObject._dataDict[time][lvl][parm])) + vcomp.append(float(sndObject._dataDict[time][lvl][parm])) else: print("WHAT IS THIS") print(sndObject._dataDict[time][lvl][parm]) # Pressure is our requested level rather than a returned parameter - p.append(float(lvl.replace('MB',''))) + pressure.append(float(lvl.replace('MB',''))) # convert to numpy.array() - p = np.array(p, dtype=float) - t = (np.array(t, dtype=float) - 273.15) * units.degC - d = (np.array(d, dtype=float) - 273.15) * units.degC - u = (np.array(u, dtype=float) * units('m/s')).to('knots') - v = (np.array(v, dtype=float) * units('m/s')).to('knots') - w = np.sqrt(u**2 + v**2) + pressure = np.array(pressure, dtype=float) + temp = (np.array(temp, dtype=float) - 273.15) * units.degC + dpt = (np.array(dpt, dtype=float) - 273.15) * units.degC + ucomp = (np.array(ucomp, dtype=float) * units('m/s')).to('knots') + vcomp = (np.array(vcomp, dtype=float) * units('m/s')).to('knots') + wind = np.sqrt(ucomp**2 + vcomp**2) print("Using " + str(len(levels)) + " levels between " + - str("%.1f" % max(p)) + " and " + str("%.1f" % min(p)) + "MB") + str("%.1f" % max(pressure)) + " and " + str("%.1f" % min(pressure)) + "MB") + return pressure,temp,dpt,ucomp,vcomp,wind + +`Top `__ + +-------------- + +6 Function: plot_skewT() +------------------------ + +Since we’re plotting many different models for comparison, all that code +was used to create this function. + +The function takes the model name, reference time, and the pressure, +temperature, dewpoint, u-component, v-component, and wind arrays. It +plots a skewT and hodograph using metpy. + +.. code:: ipython3 + + def plot_skewT(modelName, pressure, temp, dpt, ucomp, vcomp, wind, refTime): + plt.rcParams['figure.figsize'] = (12, 14) # Skew-T - plt.rcParams['figure.figsize'] = (12, 14) skew = SkewT(rotation=45) - skew.plot(p, t, 'r', linewidth=2) - skew.plot(p, d, 'g', linewidth=2) - skew.plot_barbs(p, u, v) + skew.plot(pressure, temp, 'r', linewidth=2) + skew.plot(pressure, dpt, 'g', linewidth=2) + skew.plot_barbs(pressure, ucomp, vcomp) skew.plot_dry_adiabats() skew.plot_moist_adiabats() skew.plot_mixing_lines(linestyle=':') - skew.ax.set_ylim(1000, 100) + + skew.ax.set_ylim(1000, np.min(pressure)) skew.ax.set_xlim(-50, 40) + # Title - plt.title( modelName + " (" + str(point) + ") " + str(time.getRefTime())) + plt.title(modelName + " (" + str(point) + ") " + str(refTime)) + # Hodograph ax_hod = inset_axes(skew.ax, '40%', '40%', loc=2) - h = Hodograph(ax_hod, component_range=max(w.magnitude)) + h = Hodograph(ax_hod, component_range=max(wind.magnitude)) h.add_grid(increment=20) - h.plot_colormapped(u, v, w) + h.plot_colormapped(ucomp, vcomp, wind) + # Dotted line at 0C isotherm l = skew.ax.axvline(0, color='c', linestyle='-', linewidth=1) + plt.show() +`Top `__ + +-------------- + +7 Retrieve Necessary Plotting Data +---------------------------------- + +First we get the initial data at surface level using the +get_surface_data function, and then pass those initial data arrays onto +the get_levels_data request to finish populating for additional heights +needed for Skew-T plots. We want to keep track of the pressure, +temeperature, dewpoint, u-component, v-component, and wind arrays so we +store them in variables to use later on. + +.. code:: ipython3 + + p,t,d,u,v = get_surface_data(model,point,timeRange) + + p,t,d,u,v,w = get_levels_data(model,point,timeRange,p,t,d,u,v) + .. parsed-literal:: - Using RAP13 forecast time 2023-05-17 20:00:00 + Found surface record at 833.2MB + Using 32 levels between 833.2 and 50.0MB + + +`Top `__ + +-------------- + +8 Skew-T/Log-P +-------------- + +Here we use our plot_skewT function to generate our skewT & hodograph +charts for the data we retreived so far. This is where the pressure, +temperature, dewpoint, and wind data is needed. + +.. code:: ipython3 + + plot_skewT(model, p, t, d, u, v, w, timeRange[0]) + + + +.. image:: Forecast_Model_Vertical_Sounding_files/Forecast_Model_Vertical_Sounding_24_0.png + + +`Top `__ + +-------------- + +9 Model Sounding Comparison +--------------------------- + +Now that we know how to retreive and plot the data for one model, we can +run a loop to retreive data for various models and plot them for +comparison. In this example we’ll also plot RAP13 and GFS20 data to +compare with NAM40. + +This is also where our functions become so important, because we can +easily recall all that logic and keep this for-loop fairly simple. + +.. code:: ipython3 + + models = ["RAP13", "GFS20", "NAM40"] + + for modelName in models: + timeReq = DataAccessLayer.newDataRequest("grid") + timeReq.setLocationNames(modelName) + cycles = DataAccessLayer.getAvailableTimes(timeReq, True) + times = DataAccessLayer.getAvailableTimes(timeReq) + fr = DataAccessLayer.getForecastRun(cycles[-1], times) + print("Using " + modelName + " forecast time " + str(fr[0])) + tr = [fr[0]] + + p,t,d,u,v = get_surface_data(modelName,point,tr) + p,t,d,u,v,w = get_levels_data(modelName,point,tr,p,t,d,u,v) + + # Skew-T + plot_skewT(modelName,p,t,d,u,v,w,tr[0]) + + +.. parsed-literal:: + + Using RAP13 forecast time 2023-07-25 19:00:00 + Found surface record at 839.4MB + Using 32 levels between 839.4 and 100.0MB + + + +.. image:: Forecast_Model_Vertical_Sounding_files/Forecast_Model_Vertical_Sounding_27_1.png + + +.. parsed-literal:: + + Using GFS20 forecast time 2023-07-25 12:00:00 + Found surface record at 842.5MB + Using 32 levels between 842.5 and 100.0MB + + + +.. image:: Forecast_Model_Vertical_Sounding_files/Forecast_Model_Vertical_Sounding_27_3.png + + +.. parsed-literal:: + + Using NAM40 forecast time 2023-07-25 18:00:00 Found surface record at 833.8MB - Using 30 levels between 833.8 and 100.0MB + Using 32 levels between 833.8 and 50.0MB -.. image:: Forecast_Model_Vertical_Sounding_files/Forecast_Model_Vertical_Sounding_7_1.png +.. image:: Forecast_Model_Vertical_Sounding_files/Forecast_Model_Vertical_Sounding_27_5.png -.. parsed-literal:: +`Top `__ - Using GFS20 forecast time 2023-05-17 12:00:00 - Found surface record at 839.9MB - Using 22 levels between 839.9 and 100.0MB +-------------- +10 See Also +----------- +10.1 Related Notebooks +~~~~~~~~~~~~~~~~~~~~~~ -.. image:: Forecast_Model_Vertical_Sounding_files/Forecast_Model_Vertical_Sounding_7_3.png +- `Grid Levels and + Parameters `__ +- `Upper Air BUFR + Soundings `__ +- `Model Sounding + Data `__ +10.2 Additional Documentation +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -.. parsed-literal:: +**python-awips:** - Using NAM40 forecast time 2023-05-17 18:00:00 - Found surface record at 829.4MB - Using 32 levels between 829.4 and 50.0MB +- `awips.DataAccessLayer `__ +- `awips.ModelSounding `__ +**matplotlib:** +- `matplotlib.pyplot `__ -.. image:: Forecast_Model_Vertical_Sounding_files/Forecast_Model_Vertical_Sounding_7_5.png +**MetPy** +- `metpy.wind_speed `__ +- `metpy.wind_direction `__ +- `metpy.vapor_pressure `__ +- `metpy.dewpoint `__ +- `metpy.skewt `__ +- `metpy.hodograph `__ +`Top `__ + +-------------- diff --git a/_static/css/theme.css b/_static/css/theme.css index c03c88f..19a446a 100644 --- a/_static/css/theme.css +++ b/_static/css/theme.css @@ -1,4 +1,4 @@ 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index 611f9bd..30ed7ba 100644 --- a/examples/generated/Forecast_Model_Vertical_Sounding.html +++ b/examples/generated/Forecast_Model_Vertical_Sounding.html @@ -53,8 +53,19 @@
  • Colored Surface Temperature Plot
  • Colorized Grid Data
  • Forecast Model Vertical Sounding
  • GOES CIRA Product Writer
    • @@ -103,45 +114,68 @@

    Forecast Model Vertical Sounding

    Notebook -The ModelSounding class allows us to create a vertical sounding through -any available AWIPS model with isobaric levels.

    +Python-AWIPS Tutorial Notebook

    +
    +
    +

    Objectives

      -

    • A Shapely Point geometry is used to select longitude and latitude: -from shapely.geometry import Point point = Point(-104.67,39.87)

      • -

    • Parameters ['T','DpT','uW','vW'] are requested for all isobaric -levels available for the selected model.

      • -

    • There is a single-record query performed for level = "0.0FHAG" to -determine the surface pressure level.

      • -

    • Pay attention to units when switching models. This notebook was -written for the NAM 40km AWIPS model where temperature and dewpoint -are returned as Kelvin and wind components as m/s.

      • +

    • Use python-awips to connect to an edex server

      • +

    • Request data using the ModelSounding +class +in addition to using the normal DataAccess +class

      • +

    • Create and compare vertical sounding from different AWIPS model data +with isobaric levels

      • +

    • Use Shapely Point +geometry +to define a point

      • +

    • Convert between units when necessary

      • +

    • Use MetPy to create +SkewT +and +Hodograph +plots

    -
    %matplotlib inline
-from awips.dataaccess import DataAccessLayer, ModelSounding
-from awips import ThriftClient
+
    
+
    
+
    1 Imports
    
+
    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.
    
+
    from awips.dataaccess import DataAccessLayer, ModelSounding
 import matplotlib.pyplot as plt
 import numpy as np
 from metpy.plots import SkewT, Hodograph
 from metpy.units import units
 from mpl_toolkits.axes_grid1.inset_locator import inset_axes
 from math import sqrt
-from datetime import datetime, timedelta
-from shapely.geometry import Point, Polygon
-import shapely.wkb
-import timeit
-model="NAM40"
-parms = ['T','DpT','uW','vW']
-server = 'edex-cloud.unidata.ucar.edu'
+from shapely.geometry import Point
+
    
+
    
+
    Top
    
+
    
+
    
+
    
+
    2 EDEX Connection
    
+
    First we establish a connection to Unidata’s public EDEX server. This
+sets the proper server on the DataAccessLayer, which we will use
+numerous times throughout the notebook.
    
+
    server = 'edex-cloud.unidata.ucar.edu'
 DataAccessLayer.changeEDEXHost(server)
-
-# note the order is LON,lat and not lat,LON
+
    
+
    
+
    Top
    
+
    
+
    
+
    
+
    3 Define Useful Variables
    
+
    The plotting in this notebook needs a model name, a location point
+(defined by latitude and longitude), and the most recent time range with
+the initial forecast run.
    
+
    # Note the order is Lon,Lat and not Lat,Lon
 point = Point(-104.67,39.87)
-
-inc = 0.005
-bbox=[point.y-inc, point.y+inc, point.x-inc, point.x+inc]
-polygon = Polygon([(bbox[0],bbox[2]),(bbox[0],bbox[3]),
-                   (bbox[1],bbox[3]),(bbox[1],bbox[2]),
-                   (bbox[0],bbox[2])])
+model="NAM40"
 
 # Get latest forecast cycle run
 timeReq = DataAccessLayer.newDataRequest("grid")
@@ -150,242 +184,280 @@ are returned as Kelvin and wind components as m/s.
    
 times = DataAccessLayer.getAvailableTimes(timeReq)
 fcstRun = DataAccessLayer.getForecastRun(cycles[-2], times)
 
-print("Using " + model + " forecast time " + str(fcstRun[0]))
+timeRange = [fcstRun[0]]
+
+print("Using " + model + " forecast time " + str(timeRange))
 
    
 
    
-
    Using NAM40 forecast time 2023-05-17 12:00:00
+
    Using NAM40 forecast time [<DataTime instance: 2023-07-25 12:00:00 >]
 
    
 
    
-
    p,t,d,u,v = [],[],[],[],[]
-use_parms = ['T','DpT','uW','vW','P']
-use_level = "0.0FHAG"
-sndObject = ModelSounding.getSounding(model, use_parms,
-                                      ["0.0FHAG"], point, timeRange=[fcstRun[0]])
-if len(sndObject) > 0:
-    for time in sndObject._dataDict:
-        p.append(float(sndObject._dataDict[time][use_level]['P']))
-        t.append(float(sndObject._dataDict[time][use_level]['T']))
-        d.append(float(sndObject._dataDict[time][use_level]['DpT']))
-        u.append(float(sndObject._dataDict[time][use_level]['uW']))
-        v.append(float(sndObject._dataDict[time][use_level]['vW']))
-    print("Found surface record at " + "%.1f" % p[0] + "MB")
-else:
-    raise ValueError("sndObject returned empty for query ["
-                    + ', '.join(str(x) for x in (model, use_parms, point, use_level)) +"]")
-
    
-
    
-
    Found surface record at 830.1MB
-
    
-
    
-
    # Get isobaric levels with our requested parameters
-levelReq = DataAccessLayer.newDataRequest("grid", envelope=point)
-levelReq.setLocationNames(model)
-levelReq.setParameters('T','DpT','uW','vW')
-availableLevels = DataAccessLayer.getAvailableLevels(levelReq)
-
-# Clean levels list of unit string (MB, FHAG, etc.)
-levels = []
-for lvl in availableLevels:
-    name=str(lvl)
-    if 'MB' in name and '_' not in name:
-        # If this level is above (less than in mb) our 0.0FHAG record
-        if float(name.replace('MB','')) < p[0]:
-            levels.append(lvl)
-
-# Get Sounding
-sndObject = ModelSounding.getSounding(model, parms, levels, point,
-                        timeRange=[fcstRun[0]])
-
-if not len(sndObject) > 0:
-    raise ValueError("sndObject returned empty for query ["
-                    + ', '.join(str(x) for x in (model, parms, point, levels)) +"]")
-
-for time in sndObject._dataDict:
-    for lvl in sndObject._dataDict[time].levels():
-        for parm in sndObject._dataDict[time][lvl].parameters():
-            if parm == "T":
-                t.append(float(sndObject._dataDict[time][lvl][parm]))
-            elif parm == "DpT":
-                d.append(float(sndObject._dataDict[time][lvl][parm]))
-            elif parm == 'uW':
-                u.append(float(sndObject._dataDict[time][lvl][parm]))
-            elif parm == 'vW':
-                v.append(float(sndObject._dataDict[time][lvl][parm]))
-            else:
-                print("WHAT IS THIS")
-                print(sndObject._dataDict[time][lvl][parm])
-        # Pressure is our requested level rather than a returned parameter
-        p.append(float(lvl.replace('MB','')))
-
-# convert to numpy.array()
-p = np.array(p, dtype=float)
-t = (np.array(t, dtype=float) - 273.15) * units.degC
-d = (np.array(d, dtype=float) - 273.15) * units.degC
-u = (np.array(u, dtype=float) * units('m/s')).to('knots')
-v = (np.array(v, dtype=float) * units('m/s')).to('knots')
-w = np.sqrt(u**2 + v**2)
-
-print("Using " + str(len(levels)) + " levels between " +
-      str("%.1f" % max(p)) + " and " + str("%.1f" % min(p)) + "MB")
-
    
-
    
-
    Using 32 levels between 830.1 and 50.0MB
-
    
-
    
-
    
-
    
-
    Skew-T/Log-P
    
-
    plt.rcParams['figure.figsize'] = (12, 14)
-
-# Skew-T
-skew = SkewT(rotation=45)
-skew.plot(p, t, 'r', linewidth=2)
-skew.plot(p, d, 'g', linewidth=2)
-skew.plot_barbs(p, u, v)
-skew.plot_dry_adiabats()
-skew.plot_moist_adiabats()
-skew.plot_mixing_lines(linestyle=':')
-
-skew.ax.set_ylim(1000, np.min(p))
-skew.ax.set_xlim(-50, 40)
-
-# Title
-plt.title( model + " (" + str(point) + ") " + str(time.getRefTime()))
-
-# Hodograph
-ax_hod = inset_axes(skew.ax, '40%', '40%', loc=2)
-h = Hodograph(ax_hod, component_range=max(w.magnitude))
-h.add_grid(increment=20)
-h.plot_colormapped(u, v, w)
-
-# Dotted line at 0C isotherm
-l = skew.ax.axvline(0, color='c', linestyle='-', linewidth=1)
-
-plt.show()
-
    
-
    
-../../_images/Forecast_Model_Vertical_Sounding_5_0.png
+
    Top
    
 
    
-
    
-
    Model Sounding Comparison
    
-
    models = ["RAP13", "GFS20", "NAM40"]
-parms = ['T','DpT','uW','vW']
+
    
+
    
+
    4 Function: get_surface_data()
    
+
    This function is used to get the initial forecast model data for surface
+height. This is done separately from the rest of the heights to
+determine the surface pressure. It uses the
+ModelSounding
+data object from python-awips to retrieve all the relevant information.
    
+
    This function takes the model name, location, and time as attributes,
+and returns arrays for pressure, temperature, dewpoint, and the u and v
+wind components.
    
+
    def get_surface_data(modelName, location, time):
+    """ model name, location, and timeRange desire """
 
-for modelName in models:
-    timeReq = DataAccessLayer.newDataRequest("grid")
-    timeReq.setLocationNames(modelName)
-    cycles = DataAccessLayer.getAvailableTimes(timeReq, True)
-    times = DataAccessLayer.getAvailableTimes(timeReq)
-    fcstRun = DataAccessLayer.getForecastRun(cycles[-1], times)
-    print("Using " + modelName + " forecast time " + str(fcstRun[0]))
-
-    p,t,d,u,v = [],[],[],[],[]
+    # request data and sort response
+    pressure,temp,dpt,ucomp,vcomp = [],[],[],[],[]
     use_parms = ['T','DpT','uW','vW','P']
     use_level = "0.0FHAG"
 
-    sndObject = ModelSounding.getSounding(modelName, use_parms,
-                                          [use_level], point, timeRange=[fcstRun[0]])
+    sndObject = ModelSounding.getSounding(modelName, use_parms, [use_level], location, time)
     if len(sndObject) > 0:
         for time in sndObject._dataDict:
-            p.append(float(sndObject._dataDict[time][use_level]['P']))
-            t.append(float(sndObject._dataDict[time][use_level]['T']))
-            d.append(float(sndObject._dataDict[time][use_level]['DpT']))
-            u.append(float(sndObject._dataDict[time][use_level]['uW']))
-            v.append(float(sndObject._dataDict[time][use_level]['vW']))
-        print("Found surface record at " + "%.1f" % p[0] + "MB")
+            pressure.append(float(sndObject._dataDict[time][use_level]['P']))
+            temp.append(float(sndObject._dataDict[time][use_level]['T']))
+            dpt.append(float(sndObject._dataDict[time][use_level]['DpT']))
+            ucomp.append(float(sndObject._dataDict[time][use_level]['uW']))
+            vcomp.append(float(sndObject._dataDict[time][use_level]['vW']))
+        print("Found surface record at " + "%.1f" % pressure[0] + "MB")
     else:
         raise ValueError("sndObject returned empty for query ["
                         + ', '.join(str(x) for x in (modelName, use_parms, point, use_level)) +"]")
 
+    # return information for plotting
+    return pressure,temp,dpt,ucomp,vcomp
+
    
+
    
+
    Top
    
+
    
+
    
+
    
+
    5 Function: get_levels_data()
    
+
    This function is similar to get_surface_data(), except it gets data
+values for presure heights above the surface. It uses the
+ModelSounding
+data object from python-awips to retrieve all the relevant information.
    
+
    It takes the model name, location, and time (similar to the other
+function), and also takes the instantiated pressure, temperature,
+dewpoint, and wind vector arrays.
    
+
    It returns the fully populated pressure, temperature, dewpoint,
+u-component, v-component, and computed wind arrays.
    
+
    def get_levels_data(modelName, location, time, pressure, temp, dpt, ucomp, vcomp):
+
     # Get isobaric levels with our requested parameters
+    parms = ['T','DpT','uW','vW']
     levelReq = DataAccessLayer.newDataRequest("grid", envelope=point)
-    levelReq.setLocationNames(modelName)
-    levelReq.setParameters('T','DpT','uW','vW')
+    levelReq.setLocationNames(model)
+    levelReq.setParameters(*(parms))
     availableLevels = DataAccessLayer.getAvailableLevels(levelReq)
+
     # Clean levels list of unit string (MB, FHAG, etc.)
     levels = []
     for lvl in availableLevels:
         name=str(lvl)
         if 'MB' in name and '_' not in name:
             # If this level is above (less than in mb) our 0.0FHAG record
-            if float(name.replace('MB','')) < p[0]:
+            if float(name.replace('MB','')) < pressure[0]:
                 levels.append(lvl)
 
     # Get Sounding
-    sndObject = ModelSounding.getSounding(modelName, parms, levels, point,
-                            timeRange=[fcstRun[0]])
+    sndObject = ModelSounding.getSounding(modelName, parms, levels, location, time)
+
     if not len(sndObject) > 0:
         raise ValueError("sndObject returned empty for query ["
-                        + ', '.join(str(x) for x in (modelName, parms, point, levels)) +"]")
+                        + ', '.join(str(x) for x in (model, parms, point, levels)) +"]")
+
     for time in sndObject._dataDict:
         for lvl in sndObject._dataDict[time].levels():
             for parm in sndObject._dataDict[time][lvl].parameters():
                 if parm == "T":
-                    t.append(float(sndObject._dataDict[time][lvl][parm]))
+                    temp.append(float(sndObject._dataDict[time][lvl][parm]))
                 elif parm == "DpT":
-                    d.append(float(sndObject._dataDict[time][lvl][parm]))
+                    dpt.append(float(sndObject._dataDict[time][lvl][parm]))
                 elif parm == 'uW':
-                    u.append(float(sndObject._dataDict[time][lvl][parm]))
+                    ucomp.append(float(sndObject._dataDict[time][lvl][parm]))
                 elif parm == 'vW':
-                    v.append(float(sndObject._dataDict[time][lvl][parm]))
+                    vcomp.append(float(sndObject._dataDict[time][lvl][parm]))
                 else:
                     print("WHAT IS THIS")
                     print(sndObject._dataDict[time][lvl][parm])
             # Pressure is our requested level rather than a returned parameter
-            p.append(float(lvl.replace('MB','')))
+            pressure.append(float(lvl.replace('MB','')))
 
     # convert to numpy.array()
-    p = np.array(p, dtype=float)
-    t = (np.array(t, dtype=float) - 273.15) * units.degC
-    d = (np.array(d, dtype=float) - 273.15) * units.degC
-    u = (np.array(u, dtype=float) * units('m/s')).to('knots')
-    v = (np.array(v, dtype=float) * units('m/s')).to('knots')
-    w = np.sqrt(u**2 + v**2)
+    pressure = np.array(pressure, dtype=float)
+    temp = (np.array(temp, dtype=float) - 273.15) * units.degC
+    dpt = (np.array(dpt, dtype=float) - 273.15) * units.degC
+    ucomp = (np.array(ucomp, dtype=float) * units('m/s')).to('knots')
+    vcomp = (np.array(vcomp, dtype=float) * units('m/s')).to('knots')
+    wind = np.sqrt(ucomp**2 + vcomp**2)
 
     print("Using " + str(len(levels)) + " levels between " +
-          str("%.1f" % max(p)) + " and " + str("%.1f" % min(p)) + "MB")
+          str("%.1f" % max(pressure)) + " and " + str("%.1f" % min(pressure)) + "MB")
+    return pressure,temp,dpt,ucomp,vcomp,wind
+
    
+
    
+
    Top
    
+
    
+
    
+
    
+
    6 Function: plot_skewT()
    
+
    Since we’re plotting many different models for comparison, all that code
+was used to create this function.
    
+
    The function takes the model name, reference time, and the pressure,
+temperature, dewpoint, u-component, v-component, and wind arrays. It
+plots a skewT and hodograph using metpy.
    
+
    def plot_skewT(modelName, pressure, temp, dpt, ucomp, vcomp, wind, refTime):
+    plt.rcParams['figure.figsize'] = (12, 14)
 
     # Skew-T
-    plt.rcParams['figure.figsize'] = (12, 14)
     skew = SkewT(rotation=45)
-    skew.plot(p, t, 'r', linewidth=2)
-    skew.plot(p, d, 'g', linewidth=2)
-    skew.plot_barbs(p, u, v)
+    skew.plot(pressure, temp, 'r', linewidth=2)
+    skew.plot(pressure, dpt, 'g', linewidth=2)
+    skew.plot_barbs(pressure, ucomp, vcomp)
     skew.plot_dry_adiabats()
     skew.plot_moist_adiabats()
     skew.plot_mixing_lines(linestyle=':')
-    skew.ax.set_ylim(1000, 100)
+
+    skew.ax.set_ylim(1000, np.min(pressure))
     skew.ax.set_xlim(-50, 40)
+
     # Title
-    plt.title( modelName + " (" + str(point) + ") " + str(time.getRefTime()))
+    plt.title(modelName + " (" + str(point) + ") " + str(refTime))
+
     # Hodograph
     ax_hod = inset_axes(skew.ax, '40%', '40%', loc=2)
-    h = Hodograph(ax_hod, component_range=max(w.magnitude))
+    h = Hodograph(ax_hod, component_range=max(wind.magnitude))
     h.add_grid(increment=20)
-    h.plot_colormapped(u, v, w)
+    h.plot_colormapped(ucomp, vcomp, wind)
+
     # Dotted line at 0C isotherm
     l = skew.ax.axvline(0, color='c', linestyle='-', linewidth=1)
+
     plt.show()
 
    
 
    
-
    Using RAP13 forecast time 2023-05-17 20:00:00
+
    Top
    
+
    
+
    
+
    
+
    7 Retrieve Necessary Plotting Data
    
+
    First we get the initial data at surface level using the
+get_surface_data function, and then pass those initial data arrays onto
+the get_levels_data request to finish populating for additional heights
+needed for Skew-T plots. We want to keep track of the pressure,
+temeperature, dewpoint, u-component, v-component, and wind arrays so we
+store them in variables to use later on.
    
+
    p,t,d,u,v = get_surface_data(model,point,timeRange)
+
+p,t,d,u,v,w = get_levels_data(model,point,timeRange,p,t,d,u,v)
+
    
+
    
+
    Found surface record at 833.2MB
+Using 32 levels between 833.2 and 50.0MB
+
    
+
    
+
    Top
    
+
    
+
    
+
    
+
    8 Skew-T/Log-P
    
+
    Here we use our plot_skewT function to generate our skewT & hodograph
+charts for the data we retreived so far. This is where the pressure,
+temperature, dewpoint, and wind data is needed.
    
+
    plot_skewT(model, p, t, d, u, v, w, timeRange[0])
+
    
+
    
+../../_images/Forecast_Model_Vertical_Sounding_24_0.png
+
    Top
    
+
    
+
    
+
    
+
    9 Model Sounding Comparison
    
+
    Now that we know how to retreive and plot the data for one model, we can
+run a loop to retreive data for various models and plot them for
+comparison. In this example we’ll also plot RAP13 and GFS20 data to
+compare with NAM40.
    
+
    This is also where our functions become so important, because we can
+easily recall all that logic and keep this for-loop fairly simple.
    
+
    models = ["RAP13", "GFS20", "NAM40"]
+
+for modelName in models:
+    timeReq = DataAccessLayer.newDataRequest("grid")
+    timeReq.setLocationNames(modelName)
+    cycles = DataAccessLayer.getAvailableTimes(timeReq, True)
+    times = DataAccessLayer.getAvailableTimes(timeReq)
+    fr = DataAccessLayer.getForecastRun(cycles[-1], times)
+    print("Using " + modelName + " forecast time " + str(fr[0]))
+    tr = [fr[0]]
+
+    p,t,d,u,v = get_surface_data(modelName,point,tr)
+    p,t,d,u,v,w = get_levels_data(modelName,point,tr,p,t,d,u,v)
+
+    # Skew-T
+    plot_skewT(modelName,p,t,d,u,v,w,tr[0])
+
    
+
    
+
    Using RAP13 forecast time 2023-07-25 19:00:00
+Found surface record at 839.4MB
+Using 32 levels between 839.4 and 100.0MB
+
    
+
    
+../../_images/Forecast_Model_Vertical_Sounding_27_1.png
+
    Using GFS20 forecast time 2023-07-25 12:00:00
+Found surface record at 842.5MB
+Using 32 levels between 842.5 and 100.0MB
+
    
+
    
+../../_images/Forecast_Model_Vertical_Sounding_27_3.png
+
    Using NAM40 forecast time 2023-07-25 18:00:00
 Found surface record at 833.8MB
-Using 30 levels between 833.8 and 100.0MB
+Using 32 levels between 833.8 and 50.0MB
 
    
 
    
-../../_images/Forecast_Model_Vertical_Sounding_7_1.png
-
    Using GFS20 forecast time 2023-05-17 12:00:00
-Found surface record at 839.9MB
-Using 22 levels between 839.9 and 100.0MB
-
    
-
    
-../../_images/Forecast_Model_Vertical_Sounding_7_3.png
-
    Using NAM40 forecast time 2023-05-17 18:00:00
-Found surface record at 829.4MB
-Using 32 levels between 829.4 and 50.0MB
-
    
-
    
-../../_images/Forecast_Model_Vertical_Sounding_7_5.png
+../../_images/Forecast_Model_Vertical_Sounding_27_5.png
+
    Top
    
+
    
+
    
+
    
+
    10 See Also
    
+
+
    
+
    10.2 Additional Documentation
    
+
    python-awips:
    
+
+
    matplotlib:
    
+
+
    MetPy
    
+
+
    Top
    
+
    
+
    
+
    
 
    
 
    
 
diff --git a/objects.inv b/objects.inv
index 8ab2183..807c358 100644
Binary files a/objects.inv and b/objects.inv differ
diff --git a/searchindex.js b/searchindex.js
index 72bdfe3..dee593d 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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"examples/generated/Precip_Accumulation-Region_Of_Interest.rst", "examples/generated/Regional_Surface_Obs_Plot.rst", "examples/generated/Satellite_Imagery.rst", "examples/generated/Upper_Air_BUFR_Soundings.rst", "examples/generated/Watch_Warning_and_Advisory_Plotting.rst", "examples/index.rst", "index.rst"], "titles": ["About Unidata AWIPS", "CombinedTimeQuery", "DataAccessLayer", "DateTimeConverter", "IDataRequest (newDataRequest())", "IFPClient", "ModelSounding", "PyData", "PyGeometryData", "PyGridData", "RadarCommon", "ThriftClient", "ThriftClientRouter", "TimeUtil", "API Documentation", "Available Data Types", "Development Guide", "Colored Surface Temperature Plot", "Colorized Grid Data", "Forecast Model Vertical Sounding", "GOES CIRA Product Writer", "Grid Levels and Parameters", "METAR Station Plot with MetPy", "Map Resources and Topography", "Model Sounding Data", "NEXRAD Level3 Radar", "Precip Accumulation-Region Of Interest", "Regional Surface Obs Plot", "Satellite Imagery", 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"Objectives": [[17, "objectives"], [18, "objectives"], [20, "objectives"], [21, "objectives"], [22, "objectives"], [23, "objectives"], [24, "objectives"], [27, "objectives"], [29, "objectives"], [30, "objectives"]], "Table of Contents": [[17, "table-of-contents"], [18, "table-of-contents"], [20, "table-of-contents"], [21, "table-of-contents"], [22, "table-of-contents"], [23, "table-of-contents"], [24, "table-of-contents"], [27, "table-of-contents"], [29, "table-of-contents"], [30, "table-of-contents"]], "1 Imports": [[17, "imports"], [18, "imports"], [20, "imports"], [21, "imports"], [22, "imports"], [23, "imports"], [24, "imports"], [29, "imports"], [30, "imports"]], "2 Initial Setup": [[17, "initial-setup"], [20, "initial-setup"]], "2.1 Geographic Filter": [[17, "geographic-filter"]], "2.2 EDEX Connection": [[17, "edex-connection"]], "3 Filter by Time": [[17, "filter-by-time"]], "4 Access and Convert Temp Data": [[17, "access-and-convert-temp-data"]], "5 Define Temperature 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the Data Dictionary": [[22, "populate-the-data-dictionary"]], "7.1 Related Notebooks": [[22, "related-notebooks"], [29, "related-notebooks"]], "7.2 Additional Documentation": [[22, "additional-documentation"], [29, "additional-documentation"]], "Map Resources and Topography": [[23, "map-resources-and-topography"]], "3 Function: make_map()": [[23, "function-make-map"]], "4 Create Initial Map From CWA": [[23, "create-initial-map-from-cwa"]], "5 Draw Merged CWA": [[23, "draw-merged-cwa"]], "6 Draw Interstates using Boundary Filter": [[23, "draw-interstates-using-boundary-filter"]], "7 Draw Nearby Cities": [[23, "draw-nearby-cities"]], "8 Draw Nearby Lakes": [[23, "draw-nearby-lakes"]], "9 Draw Major Rivers": [[23, "draw-major-rivers"]], "10 Draw Topography": [[23, "draw-topography"]], "11 See Also": [[23, "see-also"]], "11.1 Additional Documentation": [[23, "additional-documentation"]], "Model Sounding Data": [[24, "model-sounding-data"]], "2 EDEX Connection": [[24, "edex-connection"], [29, "edex-connection"]], "3 Setting Location": [[24, "setting-location"]], "3.1 Available Location Names": [[24, "available-location-names"]], "3.2 Setting the Location Name": [[24, "setting-the-location-name"]], "4 Filtering by Time": [[24, "filtering-by-time"]], "5 Get the Data!": [[24, "get-the-data"]], "6 Use the Data!": [[24, "use-the-data"]], "6.1 Prepare Data Objects": [[24, "prepare-data-objects"]], "6.2 Calculate Dewpoint from Specific Humidity": [[24, "calculate-dewpoint-from-specific-humidity"]], "6.2.1 Method 1": [[24, "method-1"]], "6.2.2 Method 2": [[24, "method-2"]], "6.2.3 Method 3": [[24, "method-3"]], "7 Plot the Data!": [[24, "plot-the-data"]], "8 See Also": [[24, "see-also"]], "8.1 Related Notebooks": [[24, "related-notebooks"]], "8.2 Additional Documentation": [[24, "additional-documentation"]], "NEXRAD Level3 Radar": [[25, "nexrad-level3-radar"]], "Precip Accumulation-Region Of Interest": [[26, "precip-accumulation-region-of-interest"]], "Regional Surface Obs Plot": [[27, "regional-surface-obs-plot"]], "Imports": [[27, "imports"]], "Function: get_cloud_cover()": [[27, "function-get-cloud-cover"]], "Function: make_map()": [[27, "function-make-map"]], "Function: extract_plotting_data()": [[27, "function-extract-plotting-data"]], "Function: plot_data()": [[27, "function-plot-data"]], "Initial Setup": [[27, "initial-setup"]], "Initial EDEX Connection": [[27, "initial-edex-connection"]], "Maps Request and Response": [[27, "maps-request-and-response"]], "Define Geographic Filter": [[27, "define-geographic-filter"]], "Define Time Filter": [[27, "define-time-filter"]], "Define Common Parameters for Data Requests": [[27, "define-common-parameters-for-data-requests"]], "Define METAR Request": [[27, "define-metar-request"]], "Define Synoptic Request": [[27, "define-synoptic-request"]], "Get the Data!": [[27, "get-the-data"]], "Get the EDEX Responses": [[27, "get-the-edex-responses"]], "Extract Plotting Data": [[27, "extract-plotting-data"]], "Plot the Data": [[27, "plot-the-data"]], "Draw the Region": [[27, "draw-the-region"]], "Plot METAR Data": [[27, "plot-metar-data"]], "Plot Synoptic Data": [[27, "plot-synoptic-data"]], "Plot both METAR and Synoptic Data": [[27, "plot-both-metar-and-synoptic-data"]], "See Also": [[27, "see-also"]], "Related Notebooks": [[27, "related-notebooks"]], "Additional Documentation": [[27, "additional-documentation"]], "Satellite Imagery": [[28, "satellite-imagery"]], "Available Sources, Creating Entities, Sectors, and Products": [[28, "available-sources-creating-entities-sectors-and-products"]], "GOES 16 Mesoscale Sectors": [[28, "goes-16-mesoscale-sectors"]], "Upper Air BUFR Soundings": [[29, "upper-air-bufr-soundings"]], "2.1 Initial EDEX Connection": [[29, "initial-edex-connection"]], "2.2 Setting Additional Request Parameters": [[29, "setting-additional-request-parameters"]], "2.3 Available Location Names": [[29, "available-location-names"]], "2.4 Setting the Location Name": [[29, "setting-the-location-name"]], "3 Filtering by Time": [[29, "filtering-by-time"]], "4 Get the Data!": [[29, "get-the-data"]], "5.1 Prepare Data Objects": [[29, "prepare-data-objects"]], "5.2 Convert Units": [[29, "convert-units"]], "Watch Warning and Advisory Plotting": [[30, "watch-warning-and-advisory-plotting"]], "2 Function: make_map()": [[30, "function-make-map"]], "3 Function: get_color()": [[30, "function-get-color"]], "4 Function get_title()": [[30, "function-get-title"]], "5 Initial Setup": [[30, "initial-setup"]], "5.1 EDEX Connection": [[30, "edex-connection"]], "5.2 Significance (Sig) Constants": [[30, "significance-sig-constants"]], "6 Filter by Time": [[30, "filter-by-time"]], "7 Use the Data!": [[30, "use-the-data"]], "7.1 Get the Data": [[30, "get-the-data"]], "7.2 Extract Phensigs, Geometries, and Times": [[30, "extract-phensigs-geometries-and-times"]], "8 Plot the Data!": [[30, "plot-the-data"]], "8.1 Create State and Political Boundaries": [[30, "create-state-and-political-boundaries"]], "8.2 Draw the Plot and Legend for WWAs": [[30, "draw-the-plot-and-legend-for-wwas"]], "9 See Also": [[30, "see-also"]], "9.1 Related Notebooks": [[30, "related-notebooks"]], "9.2 Additional Documentation": [[30, "additional-documentation"]], "Data Plotting Examples": [[31, "data-plotting-examples"]], "Python AWIPS Data Access Framework": [[32, "python-awips-data-access-framework"]], "Pre-requisite Software": [[32, "pre-requisite-software"]], "Package-Only Install": [[32, "package-only-install"]], "Pip Install": [[32, "pip-install"]], "Conda Install": [[32, "conda-install"]], "Source Code with Examples Install": [[32, "source-code-with-examples-install"]], "Questions \u2013 Contact Us!": [[32, "questions-contact-us"]]}, "indexentries": {"awips.dataaccess.combinedtimequery": [[1, "module-awips.dataaccess.CombinedTimeQuery"]], "getavailabletimes() (in module awips.dataaccess.combinedtimequery)": [[1, "awips.dataaccess.CombinedTimeQuery.getAvailableTimes"]], "module": [[1, "module-awips.dataaccess.CombinedTimeQuery"], [2, "module-awips.dataaccess.DataAccessLayer"], [3, "module-awips.DateTimeConverter"], [5, "module-awips.gfe.IFPClient"], [6, "module-awips.dataaccess.ModelSounding"], [7, "module-awips.dataaccess.PyData"], [8, "module-awips.dataaccess.PyGeometryData"], [9, "module-awips.dataaccess.PyGridData"], [10, "module-awips.RadarCommon"], [11, "module-awips.ThriftClient"], [12, "module-awips.dataaccess.ThriftClientRouter"], [13, "module-awips.TimeUtil"]], "awips.dataaccess.dataaccesslayer": [[2, "module-awips.dataaccess.DataAccessLayer"]], "changeedexhost() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.changeEDEXHost"]], "getavailablelevels() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getAvailableLevels"]], "getavailablelocationnames() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getAvailableLocationNames"]], "getavailableparameters() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getAvailableParameters"]], "getavailabletimes() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getAvailableTimes"]], "getforecastrun() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getForecastRun"]], "getgeometrydata() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getGeometryData"]], "getgriddata() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getGridData"]], "getidentifiervalues() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getIdentifierValues"]], "getmetarobs() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getMetarObs"]], "getoptionalidentifiers() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getOptionalIdentifiers"]], "getradarproductids() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getRadarProductIDs"]], "getradarproductnames() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getRadarProductNames"]], "getrequiredidentifiers() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getRequiredIdentifiers"]], "getsupporteddatatypes() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getSupportedDatatypes"]], "getsynopticobs() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getSynopticObs"]], "newdatarequest() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.newDataRequest"]], "setlazyloadgridlatlon() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.setLazyLoadGridLatLon"]], "awips.datetimeconverter": [[3, "module-awips.DateTimeConverter"]], "constructtimerange() (in module awips.datetimeconverter)": [[3, "awips.DateTimeConverter.constructTimeRange"]], "converttodatetime() (in module awips.datetimeconverter)": [[3, "awips.DateTimeConverter.convertToDateTime"]], "idatarequest (class in awips.dataaccess)": [[4, "awips.dataaccess.IDataRequest"]], "__weakref__ (awips.dataaccess.idatarequest attribute)": [[4, "awips.dataaccess.IDataRequest.__weakref__"]], "addidentifier() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.addIdentifier"]], "getdatatype() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.getDatatype"]], "getenvelope() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.getEnvelope"]], "getidentifiers() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.getIdentifiers"]], "getlevels() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.getLevels"]], "getlocationnames() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.getLocationNames"]], "setdatatype() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.setDatatype"]], "setenvelope() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.setEnvelope"]], "setlevels() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.setLevels"]], "setlocationnames() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.setLocationNames"]], "setparameters() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.setParameters"]], "ifpclient (class in awips.gfe.ifpclient)": [[5, "awips.gfe.IFPClient.IFPClient"]], "awips.gfe.ifpclient": [[5, "module-awips.gfe.IFPClient"]], "commitgrid() (awips.gfe.ifpclient.ifpclient method)": [[5, "awips.gfe.IFPClient.IFPClient.commitGrid"]], "getgridinventory() (awips.gfe.ifpclient.ifpclient method)": [[5, "awips.gfe.IFPClient.IFPClient.getGridInventory"]], "getparmlist() (awips.gfe.ifpclient.ifpclient method)": [[5, "awips.gfe.IFPClient.IFPClient.getParmList"]], "getselecttr() (awips.gfe.ifpclient.ifpclient method)": [[5, "awips.gfe.IFPClient.IFPClient.getSelectTR"]], "getsiteid() (awips.gfe.ifpclient.ifpclient method)": [[5, "awips.gfe.IFPClient.IFPClient.getSiteID"]], "awips.dataaccess.modelsounding": [[6, "module-awips.dataaccess.ModelSounding"]], "changeedexhost() (in module awips.dataaccess.modelsounding)": [[6, "awips.dataaccess.ModelSounding.changeEDEXHost"]], "getsounding() (in module awips.dataaccess.modelsounding)": [[6, "awips.dataaccess.ModelSounding.getSounding"]], "pydata (class in awips.dataaccess.pydata)": [[7, "awips.dataaccess.PyData.PyData"]], "awips.dataaccess.pydata": [[7, "module-awips.dataaccess.PyData"]], "getattribute() (awips.dataaccess.pydata.pydata method)": [[7, "awips.dataaccess.PyData.PyData.getAttribute"]], "getattributes() (awips.dataaccess.pydata.pydata method)": [[7, "awips.dataaccess.PyData.PyData.getAttributes"]], "getdatatime() (awips.dataaccess.pydata.pydata method)": [[7, "awips.dataaccess.PyData.PyData.getDataTime"]], "getlevel() (awips.dataaccess.pydata.pydata method)": [[7, "awips.dataaccess.PyData.PyData.getLevel"]], "getlocationname() (awips.dataaccess.pydata.pydata method)": [[7, "awips.dataaccess.PyData.PyData.getLocationName"]], "pygeometrydata (class in awips.dataaccess.pygeometrydata)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData"]], "awips.dataaccess.pygeometrydata": [[8, "module-awips.dataaccess.PyGeometryData"]], "getgeometry() (awips.dataaccess.pygeometrydata.pygeometrydata method)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData.getGeometry"]], "getnumber() (awips.dataaccess.pygeometrydata.pygeometrydata method)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData.getNumber"]], "getparameters() (awips.dataaccess.pygeometrydata.pygeometrydata method)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData.getParameters"]], "getstring() (awips.dataaccess.pygeometrydata.pygeometrydata method)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData.getString"]], "gettype() (awips.dataaccess.pygeometrydata.pygeometrydata method)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData.getType"]], "getunit() (awips.dataaccess.pygeometrydata.pygeometrydata method)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData.getUnit"]], "pygriddata (class in awips.dataaccess.pygriddata)": [[9, "awips.dataaccess.PyGridData.PyGridData"]], "awips.dataaccess.pygriddata": [[9, "module-awips.dataaccess.PyGridData"]], "getlatloncoords() (awips.dataaccess.pygriddata.pygriddata method)": [[9, "awips.dataaccess.PyGridData.PyGridData.getLatLonCoords"]], "getparameter() (awips.dataaccess.pygriddata.pygriddata method)": [[9, "awips.dataaccess.PyGridData.PyGridData.getParameter"]], "getrawdata() (awips.dataaccess.pygriddata.pygriddata method)": [[9, "awips.dataaccess.PyGridData.PyGridData.getRawData"]], "getunit() (awips.dataaccess.pygriddata.pygriddata method)": [[9, "awips.dataaccess.PyGridData.PyGridData.getUnit"]], "awips.radarcommon": [[10, "module-awips.RadarCommon"]], "encode_dep_vals() (in module awips.radarcommon)": [[10, "awips.RadarCommon.encode_dep_vals"]], "encode_radial() (in module awips.radarcommon)": [[10, "awips.RadarCommon.encode_radial"]], "encode_thresh_vals() (in module awips.radarcommon)": [[10, "awips.RadarCommon.encode_thresh_vals"]], "get_data_type() (in module awips.radarcommon)": [[10, "awips.RadarCommon.get_data_type"]], "get_datetime_str() (in module awips.radarcommon)": [[10, "awips.RadarCommon.get_datetime_str"]], "get_hdf5_data() (in module awips.radarcommon)": [[10, "awips.RadarCommon.get_hdf5_data"]], "get_header() (in module awips.radarcommon)": [[10, "awips.RadarCommon.get_header"]], "thriftclient (class in awips.thriftclient)": [[11, "awips.ThriftClient.ThriftClient"]], "thriftrequestexception": [[11, "awips.ThriftClient.ThriftRequestException"]], "awips.thriftclient": [[11, "module-awips.ThriftClient"]], "sendrequest() (awips.thriftclient.thriftclient method)": [[11, "awips.ThriftClient.ThriftClient.sendRequest"]], "lazygridlatlon (class in awips.dataaccess.thriftclientrouter)": [[12, "awips.dataaccess.ThriftClientRouter.LazyGridLatLon"]], "thriftclientrouter (class in awips.dataaccess.thriftclientrouter)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter"]], "awips.dataaccess.thriftclientrouter": [[12, "module-awips.dataaccess.ThriftClientRouter"]], "getavailablelevels() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getAvailableLevels"]], "getavailablelocationnames() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getAvailableLocationNames"]], "getavailableparameters() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getAvailableParameters"]], "getavailabletimes() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getAvailableTimes"]], "getgeometrydata() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getGeometryData"]], "getgriddata() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getGridData"]], "getidentifiervalues() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getIdentifierValues"]], "getnotificationfilter() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getNotificationFilter"]], "getoptionalidentifiers() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getOptionalIdentifiers"]], "getrequiredidentifiers() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getRequiredIdentifiers"]], "getsupporteddatatypes() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getSupportedDatatypes"]], "newdatarequest() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.newDataRequest"]], "setlazyloadgridlatlon() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.setLazyLoadGridLatLon"]], "awips.timeutil": [[13, "module-awips.TimeUtil"]], "determinedrtoffset() (in module awips.timeutil)": [[13, "awips.TimeUtil.determineDrtOffset"]], "maketime() (in module awips.timeutil)": [[13, "awips.TimeUtil.makeTime"]]}})
\ No newline at end of file
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"module-awips.dataaccess.DataAccessLayer"], [3, "module-awips.DateTimeConverter"], [5, "module-awips.gfe.IFPClient"], [6, "module-awips.dataaccess.ModelSounding"], [7, "module-awips.dataaccess.PyData"], [8, "module-awips.dataaccess.PyGeometryData"], [9, "module-awips.dataaccess.PyGridData"], [10, "module-awips.RadarCommon"], [11, "module-awips.ThriftClient"], [12, "module-awips.dataaccess.ThriftClientRouter"], [13, "module-awips.TimeUtil"]], "awips.dataaccess.dataaccesslayer": [[2, "module-awips.dataaccess.DataAccessLayer"]], "changeedexhost() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.changeEDEXHost"]], "getavailablelevels() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getAvailableLevels"]], "getavailablelocationnames() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getAvailableLocationNames"]], "getavailableparameters() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getAvailableParameters"]], "getavailabletimes() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getAvailableTimes"]], "getforecastrun() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getForecastRun"]], "getgeometrydata() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getGeometryData"]], "getgriddata() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getGridData"]], "getidentifiervalues() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getIdentifierValues"]], "getmetarobs() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getMetarObs"]], "getoptionalidentifiers() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getOptionalIdentifiers"]], "getradarproductids() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getRadarProductIDs"]], "getradarproductnames() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getRadarProductNames"]], "getrequiredidentifiers() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getRequiredIdentifiers"]], "getsupporteddatatypes() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getSupportedDatatypes"]], "getsynopticobs() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.getSynopticObs"]], "newdatarequest() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.newDataRequest"]], "setlazyloadgridlatlon() (in module awips.dataaccess.dataaccesslayer)": [[2, "awips.dataaccess.DataAccessLayer.setLazyLoadGridLatLon"]], "awips.datetimeconverter": [[3, "module-awips.DateTimeConverter"]], "constructtimerange() (in module awips.datetimeconverter)": [[3, "awips.DateTimeConverter.constructTimeRange"]], "converttodatetime() (in module awips.datetimeconverter)": [[3, "awips.DateTimeConverter.convertToDateTime"]], "idatarequest (class in awips.dataaccess)": [[4, "awips.dataaccess.IDataRequest"]], "__weakref__ (awips.dataaccess.idatarequest attribute)": [[4, "awips.dataaccess.IDataRequest.__weakref__"]], "addidentifier() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.addIdentifier"]], "getdatatype() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.getDatatype"]], "getenvelope() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.getEnvelope"]], "getidentifiers() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.getIdentifiers"]], "getlevels() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.getLevels"]], "getlocationnames() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.getLocationNames"]], "setdatatype() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.setDatatype"]], "setenvelope() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.setEnvelope"]], "setlevels() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.setLevels"]], "setlocationnames() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.setLocationNames"]], "setparameters() (awips.dataaccess.idatarequest method)": [[4, "awips.dataaccess.IDataRequest.setParameters"]], "ifpclient (class in awips.gfe.ifpclient)": [[5, "awips.gfe.IFPClient.IFPClient"]], "awips.gfe.ifpclient": [[5, "module-awips.gfe.IFPClient"]], "commitgrid() (awips.gfe.ifpclient.ifpclient method)": [[5, "awips.gfe.IFPClient.IFPClient.commitGrid"]], "getgridinventory() (awips.gfe.ifpclient.ifpclient method)": [[5, "awips.gfe.IFPClient.IFPClient.getGridInventory"]], "getparmlist() (awips.gfe.ifpclient.ifpclient method)": [[5, "awips.gfe.IFPClient.IFPClient.getParmList"]], "getselecttr() (awips.gfe.ifpclient.ifpclient method)": [[5, "awips.gfe.IFPClient.IFPClient.getSelectTR"]], "getsiteid() (awips.gfe.ifpclient.ifpclient method)": [[5, "awips.gfe.IFPClient.IFPClient.getSiteID"]], "awips.dataaccess.modelsounding": [[6, "module-awips.dataaccess.ModelSounding"]], "changeedexhost() (in module awips.dataaccess.modelsounding)": [[6, "awips.dataaccess.ModelSounding.changeEDEXHost"]], "getsounding() (in module awips.dataaccess.modelsounding)": [[6, "awips.dataaccess.ModelSounding.getSounding"]], "pydata (class in awips.dataaccess.pydata)": [[7, "awips.dataaccess.PyData.PyData"]], "awips.dataaccess.pydata": [[7, "module-awips.dataaccess.PyData"]], "getattribute() (awips.dataaccess.pydata.pydata method)": [[7, "awips.dataaccess.PyData.PyData.getAttribute"]], "getattributes() (awips.dataaccess.pydata.pydata method)": [[7, "awips.dataaccess.PyData.PyData.getAttributes"]], "getdatatime() (awips.dataaccess.pydata.pydata method)": [[7, "awips.dataaccess.PyData.PyData.getDataTime"]], "getlevel() (awips.dataaccess.pydata.pydata method)": [[7, "awips.dataaccess.PyData.PyData.getLevel"]], "getlocationname() (awips.dataaccess.pydata.pydata method)": [[7, "awips.dataaccess.PyData.PyData.getLocationName"]], "pygeometrydata (class in awips.dataaccess.pygeometrydata)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData"]], "awips.dataaccess.pygeometrydata": [[8, "module-awips.dataaccess.PyGeometryData"]], "getgeometry() (awips.dataaccess.pygeometrydata.pygeometrydata method)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData.getGeometry"]], "getnumber() (awips.dataaccess.pygeometrydata.pygeometrydata method)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData.getNumber"]], "getparameters() (awips.dataaccess.pygeometrydata.pygeometrydata method)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData.getParameters"]], "getstring() (awips.dataaccess.pygeometrydata.pygeometrydata method)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData.getString"]], "gettype() (awips.dataaccess.pygeometrydata.pygeometrydata method)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData.getType"]], "getunit() (awips.dataaccess.pygeometrydata.pygeometrydata method)": [[8, "awips.dataaccess.PyGeometryData.PyGeometryData.getUnit"]], "pygriddata (class in awips.dataaccess.pygriddata)": [[9, "awips.dataaccess.PyGridData.PyGridData"]], "awips.dataaccess.pygriddata": [[9, "module-awips.dataaccess.PyGridData"]], "getlatloncoords() (awips.dataaccess.pygriddata.pygriddata method)": [[9, "awips.dataaccess.PyGridData.PyGridData.getLatLonCoords"]], "getparameter() (awips.dataaccess.pygriddata.pygriddata method)": [[9, "awips.dataaccess.PyGridData.PyGridData.getParameter"]], "getrawdata() (awips.dataaccess.pygriddata.pygriddata method)": [[9, "awips.dataaccess.PyGridData.PyGridData.getRawData"]], "getunit() (awips.dataaccess.pygriddata.pygriddata method)": [[9, "awips.dataaccess.PyGridData.PyGridData.getUnit"]], "awips.radarcommon": [[10, "module-awips.RadarCommon"]], "encode_dep_vals() (in module awips.radarcommon)": [[10, "awips.RadarCommon.encode_dep_vals"]], "encode_radial() (in module awips.radarcommon)": [[10, "awips.RadarCommon.encode_radial"]], "encode_thresh_vals() (in module awips.radarcommon)": [[10, "awips.RadarCommon.encode_thresh_vals"]], "get_data_type() (in module awips.radarcommon)": [[10, "awips.RadarCommon.get_data_type"]], "get_datetime_str() (in module awips.radarcommon)": [[10, "awips.RadarCommon.get_datetime_str"]], "get_hdf5_data() (in module awips.radarcommon)": [[10, "awips.RadarCommon.get_hdf5_data"]], "get_header() (in module awips.radarcommon)": [[10, "awips.RadarCommon.get_header"]], "thriftclient (class in awips.thriftclient)": [[11, "awips.ThriftClient.ThriftClient"]], "thriftrequestexception": [[11, "awips.ThriftClient.ThriftRequestException"]], "awips.thriftclient": [[11, "module-awips.ThriftClient"]], "sendrequest() (awips.thriftclient.thriftclient method)": [[11, "awips.ThriftClient.ThriftClient.sendRequest"]], "lazygridlatlon (class in awips.dataaccess.thriftclientrouter)": [[12, "awips.dataaccess.ThriftClientRouter.LazyGridLatLon"]], "thriftclientrouter (class in awips.dataaccess.thriftclientrouter)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter"]], "awips.dataaccess.thriftclientrouter": [[12, "module-awips.dataaccess.ThriftClientRouter"]], "getavailablelevels() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getAvailableLevels"]], "getavailablelocationnames() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getAvailableLocationNames"]], "getavailableparameters() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getAvailableParameters"]], "getavailabletimes() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getAvailableTimes"]], "getgeometrydata() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getGeometryData"]], "getgriddata() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getGridData"]], "getidentifiervalues() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getIdentifierValues"]], "getnotificationfilter() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getNotificationFilter"]], "getoptionalidentifiers() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getOptionalIdentifiers"]], "getrequiredidentifiers() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getRequiredIdentifiers"]], "getsupporteddatatypes() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.getSupportedDatatypes"]], "newdatarequest() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.newDataRequest"]], "setlazyloadgridlatlon() (awips.dataaccess.thriftclientrouter.thriftclientrouter method)": [[12, "awips.dataaccess.ThriftClientRouter.ThriftClientRouter.setLazyLoadGridLatLon"]], "awips.timeutil": [[13, "module-awips.TimeUtil"]], "determinedrtoffset() (in module awips.timeutil)": [[13, "awips.TimeUtil.determineDrtOffset"]], "maketime() (in module awips.timeutil)": [[13, "awips.TimeUtil.makeTime"]]}})
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