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2
_sources/examples/generated/Forecast_Model_Vertical_Sounding.rst.txt
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@ -7,11 +7,13 @@ any available AWIPS model with isobaric levels.
- A Shapely Point geometry is used to select longitude and latitude: - A Shapely Point geometry is used to select longitude and latitude:
from shapely.geometry import Point point = Point(-104.67,39.87) from shapely.geometry import Point point = Point(-104.67,39.87)
- Parameters ``['T','DpT','uW','vW']`` are requested for all isobaric - Parameters ``['T','DpT','uW','vW']`` are requested for all isobaric
levels available for the selected model. levels available for the selected model.
- There is a single-record query performed for ``level = "0.0FHAG"`` to - There is a single-record query performed for ``level = "0.0FHAG"`` to
determine the surface pressure level. determine the surface pressure level.
- Pay attention to units when switching models. This notebook was - Pay attention to units when switching models. This notebook was
written for the NAM 40km AWIPS model where temperature and dewpoint written for the NAM 40km AWIPS model where temperature and dewpoint
are returned as Kelvin and wind components as m/s. are returned as Kelvin and wind components as m/s.

2
_sources/examples/generated/Map_Resources_and_Topography.rst.txt
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@ -486,11 +486,13 @@ to download and render for large (CONUS) maps.
- This notebook requires: **python-awips, numpy, matplotplib, cartopy, - This notebook requires: **python-awips, numpy, matplotplib, cartopy,
shapely** shapely**
- Use datatype **maps** and **addIdentifier(‘table’, <postgres maps - Use datatype **maps** and **addIdentifier(‘table’, <postgres maps
schema>)** to define the map table: schema>)** to define the map table:
DataAccessLayer.changeEDEXHost(“edex-cloud.unidata.ucar.edu”) request DataAccessLayer.changeEDEXHost(“edex-cloud.unidata.ucar.edu”) request
= DataAccessLayer.newDataRequest(‘maps’) = DataAccessLayer.newDataRequest(‘maps’)
request.addIdentifier(‘table’, ‘mapdata.county’) request.addIdentifier(‘table’, ‘mapdata.county’)
- Use **request.setLocationNames()** and **request.addIdentifier()** to - Use **request.setLocationNames()** and **request.addIdentifier()** to
spatially filter a map resource. In the example below, WFO ID **BOU** spatially filter a map resource. In the example below, WFO ID **BOU**
(Boulder, Colorado) is used to query counties within the BOU county (Boulder, Colorado) is used to query counties within the BOU county

2
_sources/examples/generated/Regional_Surface_Obs_Plot.rst.txt
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@ -213,7 +213,7 @@ plotting function later:
Function: plot_data() Function: plot_data()
--------------------- ---------------------
This function makse use of Metpy.StationPlotLayout and Metpy.StationPlot This function makes use of Metpy.StationPlotLayout and Metpy.StationPlot
to add all surface observation data to our plot. The logic is very to add all surface observation data to our plot. The logic is very
similar for both METAR and Synoptic data, so a ``datatype`` argument is similar for both METAR and Synoptic data, so a ``datatype`` argument is
used to distinguish between which data is being drawn, and then draws used to distinguish between which data is being drawn, and then draws

2
examples/generated/Regional_Surface_Obs_Plot.html
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@ -305,7 +305,7 @@ units</p></li>
<hr class="docutils" /> <hr class="docutils" />
<section id="function-plot-data"> <section id="function-plot-data">
<h3>Function: plot_data()<a class="headerlink" href="#function-plot-data" title="Permalink to this heading"></a></h3> <h3>Function: plot_data()<a class="headerlink" href="#function-plot-data" title="Permalink to this heading"></a></h3>
<p>This function makse use of Metpy.StationPlotLayout and Metpy.StationPlot <p>This function makes use of Metpy.StationPlotLayout and Metpy.StationPlot
to add all surface observation data to our plot. The logic is very to add all surface observation data to our plot. The logic is very
similar for both METAR and Synoptic data, so a <code class="docutils literal notranslate"><span class="pre">datatype</span></code> argument is similar for both METAR and Synoptic data, so a <code class="docutils literal notranslate"><span class="pre">datatype</span></code> argument is
used to distinguish between which data is being drawn, and then draws used to distinguish between which data is being drawn, and then draws

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searchindex.js
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