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<section id="regional-surface-obs-plot">
<h1>Regional Surface Obs Plot<a class="headerlink" href="#regional-surface-obs-plot" 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/Regional_Surface_Obs_Plot.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>Use python-awips to connect to an edex server</p></li>
<li><p>Create a plot for a regional area of the United States (Florida)</p></li>
<li><p>Define and filter data request for METAR and Synoptic surface obs</p></li>
<li><p>Use the maps database to request and draw state boundaries (no use of
Cartopy.Feature in this example)</p></li>
<li><p>Stylize and plot surface data using Metpy</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/Regional_Surface_Obs_Plot.html#imports">1
Imports</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#function-get-cloud-cover">2 Function:
get_cloud_cover()</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#function-make-map">3 Function:
make_map()</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#function-extract-plotting-data">4 Function:
extract_plotting_data()</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#function-plot-data">5 Function:
plot_data()</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#initial-setup">6 Initial
Setup</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#initial-edex-connection">6.1 Initial EDEX
Connection</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#maps-request-and-response">6.2 Maps Request and
Response</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#define-geographic-filter">6.3 Define Geographic
Filter</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#define-time-filter">6.4 Define Time
Filter</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#define-common-parameters-for-data-requests">6.5 Define Common Parameters for Data
Requests</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#define-metar-request">6.6 Define METAR
Request</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#define-synoptic-request">6.7 Define Synoptic
Request</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#get-the-data">7 Get the
Data!</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#get-the-edex-responses">7.1 Get the EDEX
Responses</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#extract-plotting-data">7.2 Extract Plotting
Data</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#plot-the-data">8 Plot the
Data</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#draw-the-region">8.1 Draw the
Region</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#plot-metar-data">8.2 Plot METAR
Data</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#plot-synoptic-data">8.3 Plot Synoptic
Data</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#plot-both-metar-and-synoptic-data">8.4 Plot both METAR and Synoptic
Data</a></div>
<div class="line"><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#see-also">9 See
Also</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#related-notebooks">9.1 Related
Notebooks</a></div>
<div class="line">    <a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html#additional-documentation">9.2 Additional
Documentation</a></div>
</div>
</section>
<section id="imports">
<h3>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 two
imports are coming directly from python-awips and allow us to connect to
an EDEX server, and define a timrange used for filtering the data. 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">from</span> <span class="nn">dynamicserialize.dstypes.com.raytheon.uf.common.time</span> <span class="kn">import</span> <span class="n">TimeRange</span>
<span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">datetime</span><span class="p">,</span> <span class="n">timedelta</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</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">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">cartopy.feature</span> <span class="kn">import</span> <span class="n">ShapelyFeature</span>
<span class="kn">from</span> <span class="nn">shapely.geometry</span> <span class="kn">import</span> <span class="n">Polygon</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">from</span> <span class="nn">metpy.calc</span> <span class="kn">import</span> <span class="n">wind_components</span>
<span class="kn">from</span> <span class="nn">metpy.plots</span> <span class="kn">import</span> <span class="n">simple_layout</span><span class="p">,</span> <span class="n">StationPlot</span><span class="p">,</span> <span class="n">StationPlotLayout</span><span class="p">,</span> <span class="n">sky_cover</span>
<span class="kn">import</span> <span class="nn">warnings</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="function-get-cloud-cover">
<h3>Function: get_cloud_cover()<a class="headerlink" href="#function-get-cloud-cover" title="Permalink to this heading"></a></h3>
<p>Returns the cloud coverage values as integer codes (0 through 8).</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">get_cloud_cover</span><span class="p">(</span><span class="n">code</span><span class="p">):</span>
<span class="k">if</span> <span class="s1">&#39;OVC&#39;</span> <span class="ow">in</span> <span class="n">code</span><span class="p">:</span>
<span class="k">return</span> <span class="mi">8</span>
<span class="k">elif</span> <span class="s1">&#39;BKN&#39;</span> <span class="ow">in</span> <span class="n">code</span><span class="p">:</span>
<span class="k">return</span> <span class="mi">6</span>
<span class="k">elif</span> <span class="s1">&#39;SCT&#39;</span> <span class="ow">in</span> <span class="n">code</span><span class="p">:</span>
<span class="k">return</span> <span class="mi">4</span>
<span class="k">elif</span> <span class="s1">&#39;FEW&#39;</span> <span class="ow">in</span> <span class="n">code</span><span class="p">:</span>
<span class="k">return</span> <span class="mi">2</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">return</span> <span class="mi">0</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="function-make-map">
<h3>Function: make_map()<a class="headerlink" href="#function-make-map" title="Permalink to this heading"></a></h3>
<p>In order to plot more than one image, it’s easiest to define common
logic in a function. Here, a new function called <strong>make_map</strong> is
defined. This function uses the <a class="reference external" href="https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.html">matplotlib.pyplot package
(plt)</a>
to create a figure and axis. The geographic extent is set and lat/lon
gridlines are added for context.</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">proj</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">16</span><span class="p">,</span><span class="mi">12</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">proj</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">gl</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">draw_labels</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;#e7e7e7&#39;</span><span class="p">)</span>
<span class="n">gl</span><span class="o">.</span><span class="n">top_labels</span> <span class="o">=</span> <span class="n">gl</span><span class="o">.</span><span class="n">right_labels</span> <span class="o">=</span> <span class="kc">False</span>
<span class="n">gl</span><span class="o">.</span><span class="n">xformatter</span> <span class="o">=</span> <span class="n">LONGITUDE_FORMATTER</span>
<span class="n">gl</span><span class="o">.</span><span class="n">yformatter</span> <span class="o">=</span> <span class="n">LATITUDE_FORMATTER</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/Regional_Surface_Obs_Plot.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="function-extract-plotting-data">
<h3>Function: extract_plotting_data()<a class="headerlink" href="#function-extract-plotting-data" title="Permalink to this heading"></a></h3>
<p>Grab the simple variables out of the response data we have (attaching
correct units), and put them into a dictionary that we will hand the
plotting function later:</p>
<ul class="simple">
<li><p>Get wind components from speed and direction</p></li>
<li><p>Convert cloud coverage values to integer codes [0 - 8]</p></li>
<li><p>Assign temperature, dewpoint, and sea level pressure the the correct
units</p></li>
<li><p>Account for missing values (by using <code class="docutils literal notranslate"><span class="pre">nan</span></code>)</p></li>
</ul>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">extract_plotting_data</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="n">datatype</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Extract all necessary data for plotting for either</span>
<span class="sd"> datatype: &#39;obs&#39; or &#39;sfcobs&#39;</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">data</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">()</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;latitude&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">arr</span><span class="p">[</span><span class="s1">&#39;latitude&#39;</span><span class="p">])</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;longitude&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">arr</span><span class="p">[</span><span class="s1">&#39;longitude&#39;</span><span class="p">])</span>
<span class="n">tmp</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">arr</span><span class="p">[</span><span class="s1">&#39;temperature&#39;</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">float</span><span class="p">)</span>
<span class="n">dpt</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">arr</span><span class="p">[</span><span class="s1">&#39;dewpoint&#39;</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">float</span><span class="p">)</span>
<span class="n">direction</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">arr</span><span class="p">[</span><span class="s1">&#39;windDir&#39;</span><span class="p">])</span>
<span class="c1"># Suppress nan masking warnings</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">filterwarnings</span><span class="p">(</span><span class="s2">&quot;ignore&quot;</span><span class="p">,</span><span class="n">category</span> <span class="o">=</span><span class="ne">RuntimeWarning</span><span class="p">)</span>
<span class="c1"># Account for missing values</span>
<span class="n">tmp</span><span class="p">[</span><span class="n">tmp</span> <span class="o">==</span> <span class="o">-</span><span class="mf">9999.0</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;nan&#39;</span>
<span class="n">dpt</span><span class="p">[</span><span class="n">dpt</span> <span class="o">==</span> <span class="o">-</span><span class="mf">9999.</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;nan&#39;</span>
<span class="n">direction</span><span class="p">[</span><span class="n">direction</span> <span class="o">==</span> <span class="o">-</span><span class="mf">9999.0</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;nan&#39;</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;air_pressure_at_sea_level&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">arr</span><span class="p">[</span><span class="s1">&#39;seaLevelPress&#39;</span><span class="p">])</span><span class="o">*</span> <span class="n">units</span><span class="p">(</span><span class="s1">&#39;mbar&#39;</span><span class="p">)</span>
<span class="n">u</span><span class="p">,</span> <span class="n">v</span> <span class="o">=</span> <span class="n">wind_components</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">arr</span><span class="p">[</span><span class="s1">&#39;windSpeed&#39;</span><span class="p">])</span> <span class="o">*</span> <span class="n">units</span><span class="p">(</span><span class="s1">&#39;knots&#39;</span><span class="p">),</span>
<span class="n">direction</span> <span class="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">degree</span><span class="p">)</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;eastward_wind&#39;</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;northward_wind&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">u</span><span class="p">,</span> <span class="n">v</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;present_weather&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">arr</span><span class="p">[</span><span class="s1">&#39;presWeather&#39;</span><span class="p">]</span>
<span class="c1"># metars uses &#39;stationName&#39; for its identifier and temps are in deg C</span>
<span class="c1"># metars also has sky coverage</span>
<span class="k">if</span> <span class="n">datatype</span> <span class="o">==</span> <span class="s2">&quot;obs&quot;</span><span class="p">:</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;stid&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">arr</span><span class="p">[</span><span class="s1">&#39;stationName&#39;</span><span class="p">])</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;air_temperature&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tmp</span> <span class="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">degC</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;dew_point_temperature&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">dpt</span> <span class="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">degC</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;cloud_coverage&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">get_cloud_cover</span><span class="p">(</span><span class="n">x</span><span class="p">))</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">arr</span><span class="p">[</span><span class="s1">&#39;skyCover&#39;</span><span class="p">]]</span>
<span class="c1"># synoptic obs uses &#39;stationId&#39;, and temps are in Kelvin</span>
<span class="k">elif</span> <span class="n">datatype</span> <span class="o">==</span> <span class="s2">&quot;sfcobs&quot;</span><span class="p">:</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;stid&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">arr</span><span class="p">[</span><span class="s1">&#39;stationId&#39;</span><span class="p">])</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;air_temperature&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tmp</span> <span class="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">kelvin</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;dew_point_temperature&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">dpt</span> <span class="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">kelvin</span>
<span class="k">return</span> <span class="n">data</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="function-plot-data">
<h3>Function: plot_data()<a class="headerlink" href="#function-plot-data" title="Permalink to this heading"></a></h3>
<p>This function makes use of Metpy.StationPlotLayout and Metpy.StationPlot
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
used to distinguish between which data is being drawn, and then draws
the appropriate features.</p>
<p>This function plots: - Wind barbs - Air temperature - Dew point
temperature - Precipitation - Cloud coverage (for METARS)</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">plot_data</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">title</span><span class="p">,</span> <span class="n">axes</span><span class="p">,</span> <span class="n">datatype</span><span class="p">):</span>
<span class="n">custom_layout</span> <span class="o">=</span> <span class="n">StationPlotLayout</span><span class="p">()</span>
<span class="n">custom_layout</span><span class="o">.</span><span class="n">add_barb</span><span class="p">(</span><span class="s1">&#39;eastward_wind&#39;</span><span class="p">,</span> <span class="s1">&#39;northward_wind&#39;</span><span class="p">,</span> <span class="n">units</span><span class="o">=</span><span class="s1">&#39;knots&#39;</span><span class="p">)</span>
<span class="n">custom_layout</span><span class="o">.</span><span class="n">add_value</span><span class="p">(</span><span class="s1">&#39;NW&#39;</span><span class="p">,</span> <span class="s1">&#39;air_temperature&#39;</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s1">&#39;.0f&#39;</span><span class="p">,</span> <span class="n">units</span><span class="o">=</span><span class="s1">&#39;degF&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;darkred&#39;</span><span class="p">)</span>
<span class="n">custom_layout</span><span class="o">.</span><span class="n">add_value</span><span class="p">(</span><span class="s1">&#39;SW&#39;</span><span class="p">,</span> <span class="s1">&#39;dew_point_temperature&#39;</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s1">&#39;.0f&#39;</span><span class="p">,</span> <span class="n">units</span><span class="o">=</span><span class="s1">&#39;degF&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;darkgreen&#39;</span><span class="p">)</span>
<span class="n">custom_layout</span><span class="o">.</span><span class="n">add_value</span><span class="p">(</span><span class="s1">&#39;E&#39;</span><span class="p">,</span> <span class="s1">&#39;precipitation&#39;</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s1">&#39;0.1f&#39;</span><span class="p">,</span> <span class="n">units</span><span class="o">=</span><span class="s1">&#39;inch&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">)</span>
<span class="c1"># metars has sky coverage</span>
<span class="k">if</span> <span class="n">datatype</span> <span class="o">==</span> <span class="s1">&#39;obs&#39;</span><span class="p">:</span>
<span class="n">custom_layout</span><span class="o">.</span><span class="n">add_symbol</span><span class="p">(</span><span class="s1">&#39;C&#39;</span><span class="p">,</span> <span class="s1">&#39;cloud_coverage&#39;</span><span class="p">,</span> <span class="n">sky_cover</span><span class="p">)</span>
<span class="n">axes</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">title</span><span class="p">)</span>
<span class="n">stationplot</span> <span class="o">=</span> <span class="n">StationPlot</span><span class="p">(</span><span class="n">axes</span><span class="p">,</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;longitude&#39;</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;latitude&#39;</span><span class="p">],</span> <span class="n">clip_on</span><span class="o">=</span><span class="kc">True</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">fontsize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
<span class="n">custom_layout</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">stationplot</span><span class="p">,</span> <span class="n">data</span><span class="p">)</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html">Top</a></p>
</section>
<hr class="docutils" />
<section id="initial-setup">
<h3>Initial Setup<a class="headerlink" href="#initial-setup" title="Permalink to this heading"></a></h3>
<p>Connect to an EDEX server and define several <a class="reference external" href="http://unidata.github.io/python-awips/api/IDataRequest.html">new data request
objects</a>.</p>
<p>In this example we’re using multiple different datatypes from EDEX, so
we’ll create a request object for each of the following: - <a class="reference external" href="#Define-Maps-Request">The states
outlines (datatype maps)</a> - <a class="reference external" href="#Define-METAR-Request">The METAR data
(datatype obs)</a> - <a class="reference external" href="#Define-Synoptic-Request">The Synoptic data (datatype
sfc)</a></p>
<p>Some of the request use filters, so we’ll also create several filters
than can be used for the various data requests as well.</p>
<section id="initial-edex-connection">
<h4>Initial EDEX Connection<a class="headerlink" href="#initial-edex-connection" title="Permalink to this heading"></a></h4>
<p>First we establish a connection to Unidata’s public EDEX server.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># EDEX connection</span>
<span class="n">edexServer</span> <span class="o">=</span> <span class="s2">&quot;edex-cloud.unidata.ucar.edu&quot;</span>
<span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">changeEDEXHost</span><span class="p">(</span><span class="n">edexServer</span><span class="p">)</span>
</pre></div>
</div>
</section>
<section id="maps-request-and-response">
<h4>Maps Request and Response<a class="headerlink" href="#maps-request-and-response" title="Permalink to this heading"></a></h4>
<p>The maps data request will give us data to draw our state outlines of
interest (Florida and its neighboring states). We will retrieve the data
response object here so we can create a geographic filter for the METAR
and Synoptic data requests.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Define the maps request</span>
<span class="n">maps_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="s1">&#39;maps&#39;</span><span class="p">)</span>
<span class="c1"># filter for multiple states</span>
<span class="n">maps_request</span><span class="o">.</span><span class="n">addIdentifier</span><span class="p">(</span><span class="s1">&#39;table&#39;</span><span class="p">,</span> <span class="s1">&#39;mapdata.states&#39;</span><span class="p">)</span>
<span class="n">maps_request</span><span class="o">.</span><span class="n">addIdentifier</span><span class="p">(</span><span class="s1">&#39;geomField&#39;</span><span class="p">,</span> <span class="s1">&#39;the_geom&#39;</span><span class="p">)</span>
<span class="n">maps_request</span><span class="o">.</span><span class="n">addIdentifier</span><span class="p">(</span><span class="s1">&#39;inLocation&#39;</span><span class="p">,</span> <span class="s1">&#39;true&#39;</span><span class="p">)</span>
<span class="n">maps_request</span><span class="o">.</span><span class="n">addIdentifier</span><span class="p">(</span><span class="s1">&#39;locationField&#39;</span><span class="p">,</span> <span class="s1">&#39;state&#39;</span><span class="p">)</span>
<span class="n">maps_request</span><span class="o">.</span><span class="n">setParameters</span><span class="p">(</span><span class="s1">&#39;state&#39;</span><span class="p">,</span><span class="s1">&#39;name&#39;</span><span class="p">,</span><span class="s1">&#39;lat&#39;</span><span class="p">,</span><span class="s1">&#39;lon&#39;</span><span class="p">)</span>
<span class="n">maps_request</span><span class="o">.</span><span class="n">setLocationNames</span><span class="p">(</span><span class="s1">&#39;FL&#39;</span><span class="p">,</span><span class="s1">&#39;GA&#39;</span><span class="p">,</span><span class="s1">&#39;MS&#39;</span><span class="p">,</span><span class="s1">&#39;AL&#39;</span><span class="p">,</span><span class="s1">&#39;SC&#39;</span><span class="p">,</span><span class="s1">&#39;LA&#39;</span><span class="p">)</span>
<span class="n">maps_response</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getGeometryData</span><span class="p">(</span><span class="n">maps_request</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Found &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">maps_response</span><span class="p">))</span> <span class="o">+</span> <span class="s2">&quot; MultiPolygons&quot;</span><span class="p">)</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">Found</span> <span class="mi">6</span> <span class="n">MultiPolygons</span>
</pre></div>
</div>
</section>
<section id="define-geographic-filter">
<h4>Define Geographic Filter<a class="headerlink" href="#define-geographic-filter" title="Permalink to this heading"></a></h4>
<p>The previous EDEX request limited the data by using a <strong>parameter</strong> for
the maps database called <strong>state</strong>. We can take the results from that
filter and get a geographic <strong>envelope</strong> based on the Florida polygon
that was returned from the previous cell.</p>
<blockquote>
<div><p><strong>Warning</strong>: Without such a filter you may be requesting many tens of
thousands of records.</p>
</div></blockquote>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Append each geometry to a numpy array</span>
<span class="n">states</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([])</span>
<span class="k">for</span> <span class="n">ob</span> <span class="ow">in</span> <span class="n">maps_response</span><span class="p">:</span>
<span class="nb">print</span><span class="p">(</span><span class="n">ob</span><span class="o">.</span><span class="n">getString</span><span class="p">(</span><span class="s1">&#39;name&#39;</span><span class="p">),</span> <span class="n">ob</span><span class="o">.</span><span class="n">getString</span><span class="p">(</span><span class="s1">&#39;state&#39;</span><span class="p">),</span> <span class="n">ob</span><span class="o">.</span><span class="n">getNumber</span><span class="p">(</span><span class="s1">&#39;lat&#39;</span><span class="p">),</span> <span class="n">ob</span><span class="o">.</span><span class="n">getNumber</span><span class="p">(</span><span class="s1">&#39;lon&#39;</span><span class="p">))</span>
<span class="n">states</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">states</span><span class="p">,</span><span class="n">ob</span><span class="o">.</span><span class="n">getGeometry</span><span class="p">())</span>
<span class="c1"># if this is Florida grab geographic info</span>
<span class="k">if</span> <span class="n">ob</span><span class="o">.</span><span class="n">getString</span><span class="p">(</span><span class="s1">&#39;name&#39;</span><span class="p">)</span> <span class="o">==</span> <span class="s2">&quot;Florida&quot;</span><span class="p">:</span>
<span class="n">bounds</span> <span class="o">=</span> <span class="n">ob</span><span class="o">.</span><span class="n">getGeometry</span><span class="p">()</span><span class="o">.</span><span class="n">bounds</span>
<span class="n">fl_lat</span> <span class="o">=</span> <span class="n">ob</span><span class="o">.</span><span class="n">getNumber</span><span class="p">(</span><span class="s1">&#39;lat&#39;</span><span class="p">)</span>
<span class="n">fl_lon</span> <span class="o">=</span> <span class="n">ob</span><span class="o">.</span><span class="n">getNumber</span><span class="p">(</span><span class="s1">&#39;lon&#39;</span><span class="p">)</span>
<span class="k">if</span> <span class="n">bounds</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Error, no record found for Florida!&quot;</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="c1"># buffer our bounds by +/i degrees lat/lon</span>
<span class="n">bbox</span><span class="o">=</span><span class="p">[</span><span class="n">bounds</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">-</span><span class="mi">3</span><span class="p">,</span><span class="n">bounds</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">+</span><span class="mi">3</span><span class="p">,</span><span class="n">bounds</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">-</span><span class="mf">1.5</span><span class="p">,</span><span class="n">bounds</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="o">+</span><span class="mf">1.5</span><span class="p">]</span>
<span class="c1"># Create envelope geometry</span>
<span class="n">envelope</span> <span class="o">=</span> <span class="n">Polygon</span><span class="p">([(</span><span class="n">bbox</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">bbox</span><span class="p">[</span><span class="mi">2</span><span class="p">]),(</span><span class="n">bbox</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">bbox</span><span class="p">[</span><span class="mi">3</span><span class="p">]),</span>
<span class="p">(</span><span class="n">bbox</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">bbox</span><span class="p">[</span><span class="mi">3</span><span class="p">]),(</span><span class="n">bbox</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">bbox</span><span class="p">[</span><span class="mi">2</span><span class="p">]),</span>
<span class="p">(</span><span class="n">bbox</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">bbox</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">envelope</span><span class="p">)</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">Florida</span> <span class="n">FL</span> <span class="mf">28.67402</span> <span class="o">-</span><span class="mf">82.50934</span>
<span class="n">Georgia</span> <span class="n">GA</span> <span class="mf">32.65155</span> <span class="o">-</span><span class="mf">83.44848</span>
<span class="n">Louisiana</span> <span class="n">LA</span> <span class="mf">31.0891</span> <span class="o">-</span><span class="mf">92.02905</span>
<span class="n">Alabama</span> <span class="n">AL</span> <span class="mf">32.79354</span> <span class="o">-</span><span class="mf">86.82676</span>
<span class="n">Mississippi</span> <span class="n">MS</span> <span class="mf">32.75201</span> <span class="o">-</span><span class="mf">89.66553</span>
<span class="n">South</span> <span class="n">Carolina</span> <span class="n">SC</span> <span class="mf">33.93574</span> <span class="o">-</span><span class="mf">80.89899</span>
<span class="n">POLYGON</span> <span class="p">((</span><span class="o">-</span><span class="mf">90.63429260299995</span> <span class="mf">23.02105161600002</span><span class="p">,</span> <span class="o">-</span><span class="mf">90.63429260299995</span> <span class="mf">32.50101280200016</span><span class="p">,</span> <span class="o">-</span><span class="mf">77.03199876199994</span> <span class="mf">32.50101280200016</span><span class="p">,</span> <span class="o">-</span><span class="mf">77.03199876199994</span> <span class="mf">23.02105161600002</span><span class="p">,</span> <span class="o">-</span><span class="mf">90.63429260299995</span> <span class="mf">23.02105161600002</span><span class="p">))</span>
</pre></div>
</div>
</section>
<section id="define-time-filter">
<h4>Define Time Filter<a class="headerlink" href="#define-time-filter" title="Permalink to this heading"></a></h4>
<p>Both the METAR and Synoptic datasets should be filtered by time to avoid
requesting an unreasonable amount of data. By defining one filter now,
we can use it in both of their data requests to EDEX.</p>
<blockquote>
<div><p><strong>Note</strong>: Here we will use the most recent hour as our default
filter. Try adjusting the timerange and see the difference in the
final plots.</p>
</div></blockquote>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Filter for the last hour</span>
<span class="n">lastHourDateTime</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">utcnow</span><span class="p">()</span> <span class="o">-</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">minutes</span> <span class="o">=</span> <span class="mi">60</span><span class="p">)</span>
<span class="n">start</span> <span class="o">=</span> <span class="n">lastHourDateTime</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;%Y-%m-</span><span class="si">%d</span><span class="s1"> %H:%M:%S&#39;</span><span class="p">)</span>
<span class="n">end</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">utcnow</span><span class="p">()</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;%Y-%m-</span><span class="si">%d</span><span class="s1"> %H:%M:%S&#39;</span><span class="p">)</span>
<span class="n">beginRange</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">strptime</span><span class="p">(</span> <span class="n">start</span> <span class="p">,</span> <span class="s2">&quot;%Y-%m-</span><span class="si">%d</span><span class="s2"> %H:%M:%S&quot;</span><span class="p">)</span>
<span class="n">endRange</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">strptime</span><span class="p">(</span> <span class="n">end</span> <span class="p">,</span> <span class="s2">&quot;%Y-%m-</span><span class="si">%d</span><span class="s2"> %H:%M:%S&quot;</span><span class="p">)</span>
<span class="n">timerange</span> <span class="o">=</span> <span class="n">TimeRange</span><span class="p">(</span><span class="n">beginRange</span><span class="p">,</span> <span class="n">endRange</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">timerange</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="n">Nov</span> <span class="mi">11</span> <span class="mi">22</span> <span class="mi">19</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">54</span> <span class="p">,</span> <span class="n">Nov</span> <span class="mi">11</span> <span class="mi">22</span> <span class="mi">20</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">54</span> <span class="p">)</span>
</pre></div>
</div>
</section>
<section id="define-common-parameters-for-data-requests">
<h4>Define Common Parameters for Data Requests<a class="headerlink" href="#define-common-parameters-for-data-requests" title="Permalink to this heading"></a></h4>
<p>METAR obs and Synoptic obs share several of the same parameters. By
defining them here, they can be reused for both of the requests and this
makes our code more efficient.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">shared_params</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;timeObs&quot;</span><span class="p">,</span> <span class="s2">&quot;longitude&quot;</span><span class="p">,</span> <span class="s2">&quot;latitude&quot;</span><span class="p">,</span> <span class="s2">&quot;temperature&quot;</span><span class="p">,</span>
<span class="s2">&quot;dewpoint&quot;</span><span class="p">,</span> <span class="s2">&quot;windDir&quot;</span><span class="p">,</span> <span class="s2">&quot;windSpeed&quot;</span><span class="p">,</span> <span class="s2">&quot;seaLevelPress&quot;</span><span class="p">,</span>
<span class="s2">&quot;presWeather&quot;</span><span class="p">,</span> <span class="s2">&quot;skyLayerBase&quot;</span><span class="p">]</span>
<span class="nb">print</span><span class="p">(</span><span class="n">shared_params</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="s1">&#39;timeObs&#39;</span><span class="p">,</span> <span class="s1">&#39;longitude&#39;</span><span class="p">,</span> <span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="s1">&#39;temperature&#39;</span><span class="p">,</span> <span class="s1">&#39;dewpoint&#39;</span><span class="p">,</span> <span class="s1">&#39;windDir&#39;</span><span class="p">,</span> <span class="s1">&#39;windSpeed&#39;</span><span class="p">,</span> <span class="s1">&#39;seaLevelPress&#39;</span><span class="p">,</span> <span class="s1">&#39;presWeather&#39;</span><span class="p">,</span> <span class="s1">&#39;skyLayerBase&#39;</span><span class="p">]</span>
</pre></div>
</div>
</section>
<section id="define-metar-request">
<h4>Define METAR Request<a class="headerlink" href="#define-metar-request" title="Permalink to this heading"></a></h4>
<p>To get METAR data we must use the <strong>obs</strong> datatype. To help limit the
amount of data returned, we will narrow the request by using a
geographic <strong>envelope</strong>, setting the request <strong>parameters</strong>, and using
<strong>timerange</strong> as a time filter.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># New metar request</span>
<span class="n">metar_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">&quot;obs&quot;</span><span class="p">,</span> <span class="n">envelope</span><span class="o">=</span><span class="n">envelope</span><span class="p">)</span>
<span class="c1"># metar specifc parameters</span>
<span class="n">metar_params</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;stationName&quot;</span><span class="p">,</span> <span class="s2">&quot;skyCover&quot;</span><span class="p">]</span>
<span class="c1"># combine all parameters</span>
<span class="n">all_metar_params</span> <span class="o">=</span> <span class="n">shared_params</span> <span class="o">+</span> <span class="n">metar_params</span>
<span class="c1"># set the parameters on the metar request</span>
<span class="n">metar_request</span><span class="o">.</span><span class="n">setParameters</span><span class="p">(</span><span class="o">*</span><span class="p">(</span><span class="n">all_metar_params</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="n">metar_request</span><span class="p">)</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">DefaultDataRequest</span><span class="p">(</span><span class="n">datatype</span><span class="o">=</span><span class="n">obs</span><span class="p">,</span> <span class="n">identifiers</span><span class="o">=</span><span class="p">{},</span> <span class="n">parameters</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;timeObs&#39;</span><span class="p">,</span> <span class="s1">&#39;longitude&#39;</span><span class="p">,</span> <span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="s1">&#39;temperature&#39;</span><span class="p">,</span> <span class="s1">&#39;dewpoint&#39;</span><span class="p">,</span> <span class="s1">&#39;windDir&#39;</span><span class="p">,</span> <span class="s1">&#39;windSpeed&#39;</span><span class="p">,</span> <span class="s1">&#39;seaLevelPress&#39;</span><span class="p">,</span> <span class="s1">&#39;presWeather&#39;</span><span class="p">,</span> <span class="s1">&#39;skyLayerBase&#39;</span><span class="p">,</span> <span class="s1">&#39;stationName&#39;</span><span class="p">,</span> <span class="s1">&#39;skyCover&#39;</span><span class="p">],</span> <span class="n">levels</span><span class="o">=</span><span class="p">[],</span> <span class="n">locationNames</span><span class="o">=</span><span class="p">[],</span> <span class="n">envelope</span><span class="o">=&lt;</span><span class="n">dynamicserialize</span><span class="o">.</span><span class="n">dstypes</span><span class="o">.</span><span class="n">com</span><span class="o">.</span><span class="n">vividsolutions</span><span class="o">.</span><span class="n">jts</span><span class="o">.</span><span class="n">geom</span><span class="o">.</span><span class="n">Envelope</span><span class="o">.</span><span class="n">Envelope</span> <span class="nb">object</span> <span class="n">at</span> <span class="mh">0x13abe40a0</span><span class="o">&gt;</span><span class="p">)</span>
</pre></div>
</div>
</section>
<section id="define-synoptic-request">
<h4>Define Synoptic Request<a class="headerlink" href="#define-synoptic-request" title="Permalink to this heading"></a></h4>
<p>Similar to the request above, we will limit the amount of data returned
by using a geographic <strong>envelope</strong>, setting the request <strong>parameters</strong>,
and using <strong>timerange</strong> as a time filter.</p>
<p>However, in order to access synoptic observations we will use the
<strong>sfcobs</strong> datatype.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># New sfcobs/SYNOP request</span>
<span class="n">syn_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">&quot;sfcobs&quot;</span><span class="p">,</span> <span class="n">envelope</span><span class="o">=</span><span class="n">envelope</span><span class="p">)</span>
<span class="c1"># (sfcobs) uses stationId, while (obs) uses stationName</span>
<span class="n">syn_params</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;stationId&quot;</span><span class="p">]</span>
<span class="c1"># combine all parameters</span>
<span class="n">all_syn_params</span> <span class="o">=</span> <span class="n">shared_params</span> <span class="o">+</span> <span class="n">syn_params</span>
<span class="c1"># set the parameters on the synoptic request</span>
<span class="n">syn_request</span><span class="o">.</span><span class="n">setParameters</span><span class="p">(</span><span class="o">*</span><span class="p">(</span><span class="n">all_syn_params</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="n">syn_request</span><span class="p">)</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">DefaultDataRequest</span><span class="p">(</span><span class="n">datatype</span><span class="o">=</span><span class="n">sfcobs</span><span class="p">,</span> <span class="n">identifiers</span><span class="o">=</span><span class="p">{},</span> <span class="n">parameters</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;timeObs&#39;</span><span class="p">,</span> <span class="s1">&#39;longitude&#39;</span><span class="p">,</span> <span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="s1">&#39;temperature&#39;</span><span class="p">,</span> <span class="s1">&#39;dewpoint&#39;</span><span class="p">,</span> <span class="s1">&#39;windDir&#39;</span><span class="p">,</span> <span class="s1">&#39;windSpeed&#39;</span><span class="p">,</span> <span class="s1">&#39;seaLevelPress&#39;</span><span class="p">,</span> <span class="s1">&#39;presWeather&#39;</span><span class="p">,</span> <span class="s1">&#39;skyLayerBase&#39;</span><span class="p">,</span> <span class="s1">&#39;stationId&#39;</span><span class="p">],</span> <span class="n">levels</span><span class="o">=</span><span class="p">[],</span> <span class="n">locationNames</span><span class="o">=</span><span class="p">[],</span> <span class="n">envelope</span><span class="o">=&lt;</span><span class="n">dynamicserialize</span><span class="o">.</span><span class="n">dstypes</span><span class="o">.</span><span class="n">com</span><span class="o">.</span><span class="n">vividsolutions</span><span class="o">.</span><span class="n">jts</span><span class="o">.</span><span class="n">geom</span><span class="o">.</span><span class="n">Envelope</span><span class="o">.</span><span class="n">Envelope</span> <span class="nb">object</span> <span class="n">at</span> <span class="mh">0x105048bb0</span><span class="o">&gt;</span><span class="p">)</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html">Top</a></p>
</section>
</section>
<hr class="docutils" />
<section id="get-the-data">
<h3>Get the Data!<a class="headerlink" href="#get-the-data" title="Permalink to this heading"></a></h3>
<p>We have already obtained our maps data, but we still have to collect our
observation data.</p>
<section id="get-the-edex-responses">
<h4>Get the EDEX Responses<a class="headerlink" href="#get-the-edex-responses" title="Permalink to this heading"></a></h4>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># METARs data</span>
<span class="n">metar_response</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getGeometryData</span><span class="p">(</span><span class="n">metar_request</span><span class="p">,</span><span class="n">timerange</span><span class="p">)</span>
<span class="c1"># function getMetarObs was added in python-awips 18.1.4</span>
<span class="n">metars</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getMetarObs</span><span class="p">(</span><span class="n">metar_response</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Found &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">metar_response</span><span class="p">))</span> <span class="o">+</span> <span class="s2">&quot; METAR records&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\t</span><span class="s2">Using &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">metars</span><span class="p">[</span><span class="s1">&#39;temperature&#39;</span><span class="p">]))</span> <span class="o">+</span> <span class="s2">&quot; temperature records&quot;</span><span class="p">)</span>
<span class="c1"># Synoptic data</span>
<span class="n">syn_response</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getGeometryData</span><span class="p">(</span><span class="n">syn_request</span><span class="p">,</span><span class="n">timerange</span><span class="p">)</span>
<span class="c1"># function getSynopticObs was added in python-awips 18.1.4</span>
<span class="n">synoptic</span> <span class="o">=</span> <span class="n">DataAccessLayer</span><span class="o">.</span><span class="n">getSynopticObs</span><span class="p">(</span><span class="n">syn_response</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Found &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">syn_response</span><span class="p">))</span> <span class="o">+</span> <span class="s2">&quot; Synoptic records&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\t</span><span class="s2">Using &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">synoptic</span><span class="p">[</span><span class="s1">&#39;temperature&#39;</span><span class="p">]))</span> <span class="o">+</span> <span class="s2">&quot; temperature records&quot;</span><span class="p">)</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">Found</span> <span class="mi">4116</span> <span class="n">METAR</span> <span class="n">records</span>
<span class="n">Using</span> <span class="mi">179</span> <span class="n">temperature</span> <span class="n">records</span>
<span class="n">Found</span> <span class="mi">259</span> <span class="n">Synoptic</span> <span class="n">records</span>
<span class="n">Using</span> <span class="mi">63</span> <span class="n">temperature</span> <span class="n">records</span>
</pre></div>
</div>
</section>
<section id="extract-plotting-data">
<h4>Extract Plotting Data<a class="headerlink" href="#extract-plotting-data" title="Permalink to this heading"></a></h4>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Pull all necessary plotting information for the metar data</span>
<span class="n">metars_data</span> <span class="o">=</span> <span class="n">extract_plotting_data</span><span class="p">(</span><span class="n">metars</span><span class="p">,</span> <span class="s1">&#39;obs&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">metars_data</span><span class="p">[</span><span class="s1">&#39;stid&#39;</span><span class="p">]))</span> <span class="o">+</span> <span class="s2">&quot; METARs stations&quot;</span><span class="p">)</span>
<span class="c1"># Pull all necessary plotting information for the synoptic data</span>
<span class="n">synoptic_data</span> <span class="o">=</span> <span class="n">extract_plotting_data</span><span class="p">(</span><span class="n">synoptic</span><span class="p">,</span> <span class="s1">&#39;sfcobs&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">synoptic_data</span><span class="p">[</span><span class="s1">&#39;stid&#39;</span><span class="p">]))</span> <span class="o">+</span> <span class="s2">&quot; Synoptic stations&quot;</span><span class="p">)</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="mi">179</span> <span class="n">METARs</span> <span class="n">stations</span>
<span class="mi">63</span> <span class="n">Synoptic</span> <span class="n">stations</span>
</pre></div>
</div>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html">Top</a></p>
</section>
</section>
<hr class="docutils" />
<section id="plot-the-data">
<h3>Plot the Data<a class="headerlink" href="#plot-the-data" title="Permalink to this heading"></a></h3>
<section id="draw-the-region">
<h4>Draw the Region<a class="headerlink" href="#draw-the-region" title="Permalink to this heading"></a></h4>
<p>Here we will draw our region by using the <strong>states</strong> polygons we
retreived from EDEX <a class="reference external" href="#Maps-Request-and-Response">earlier in this
example</a>. To create this plot we use the
<a class="reference external" href="#Function:-make_map()">make_map()</a> function which also adds lines of
latitude and longitude for additional context.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create the figure and axes used for the plot</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="c1"># Create a feature based off our states polygons</span>
<span class="n">shape_feature</span> <span class="o">=</span> <span class="n">ShapelyFeature</span><span class="p">(</span><span class="n">states</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">&#39;none&#39;</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s2">&quot;-&quot;</span><span class="p">,</span><span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;#000000&#39;</span><span class="p">,</span><span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">shape_feature</span><span class="p">)</span>
</pre></div>
</div>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">&lt;</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">0x13b2ae5e0</span><span class="o">&gt;</span>
</pre></div>
</div>
<img alt="../../_images/Regional_Surface_Obs_Plot_42_1.png" src="../../_images/Regional_Surface_Obs_Plot_42_1.png" />
</section>
<section id="plot-metar-data">
<h4>Plot METAR Data<a class="headerlink" href="#plot-metar-data" title="Permalink to this heading"></a></h4>
<p>On the same axes (<strong>ax</strong>) and figure (<strong>fig</strong>) plot the METAR data.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create a title for the plot</span>
<span class="n">title</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">metar_response</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">())</span> <span class="o">+</span> <span class="s2">&quot; | METAR Surface Obs | &quot;</span> <span class="o">+</span> <span class="n">edexServer</span>
<span class="c1"># Plot the station information for METARs data</span>
<span class="n">plot_data</span><span class="p">(</span><span class="n">metars_data</span><span class="p">,</span> <span class="n">title</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="s1">&#39;obs&#39;</span><span class="p">)</span>
<span class="c1"># Display the figure</span>
<span class="n">fig</span>
</pre></div>
</div>
<img alt="../../_images/Regional_Surface_Obs_Plot_44_0.png" src="../../_images/Regional_Surface_Obs_Plot_44_0.png" />
</section>
<section id="plot-synoptic-data">
<h4>Plot Synoptic Data<a class="headerlink" href="#plot-synoptic-data" title="Permalink to this heading"></a></h4>
<p>On a new axes and figure (<strong>ax_syn</strong>, <strong>fig_syn</strong>) plot the map and
synoptic data.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create a new figure and axes for the synoptic data</span>
<span class="n">fig_syn</span><span class="p">,</span> <span class="n">ax_syn</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="c1"># Create the states feature from the polygons</span>
<span class="n">shape_feature</span> <span class="o">=</span> <span class="n">ShapelyFeature</span><span class="p">(</span><span class="n">states</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">&#39;none&#39;</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s2">&quot;-&quot;</span><span class="p">,</span><span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;#000000&#39;</span><span class="p">,</span><span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">ax_syn</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">shape_feature</span><span class="p">)</span>
<span class="c1"># Create a title for the figure</span>
<span class="n">title</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">syn_response</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">())</span> <span class="o">+</span> <span class="s2">&quot; | SYNOP Surface Obs | &quot;</span> <span class="o">+</span> <span class="n">edexServer</span>
<span class="c1"># Draw the synoptic data</span>
<span class="n">plot_data</span><span class="p">(</span><span class="n">synoptic_data</span><span class="p">,</span> <span class="n">title</span><span class="p">,</span> <span class="n">ax_syn</span><span class="p">,</span> <span class="s1">&#39;sfcobs&#39;</span><span class="p">)</span>
</pre></div>
</div>
<img alt="../../_images/Regional_Surface_Obs_Plot_46_0.png" src="../../_images/Regional_Surface_Obs_Plot_46_0.png" />
</section>
<section id="plot-both-metar-and-synoptic-data">
<h4>Plot both METAR and Synoptic Data<a class="headerlink" href="#plot-both-metar-and-synoptic-data" title="Permalink to this heading"></a></h4>
<p>Add the synoptic data to our first axes and figure (<strong>ax</strong>, <strong>fig</strong>)
that already contains our map and METARs data.</p>
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create a title for both the METAR and Synopotic data</span>
<span class="n">title</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">syn_response</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">getDataTime</span><span class="p">())</span> <span class="o">+</span> <span class="s2">&quot; | METAR &amp; Synoptic Surface Obs | &quot;</span> <span class="o">+</span> <span class="n">edexServer</span>
<span class="c1"># Draw the synoptic on the first axes that already has the metar data</span>
<span class="n">plot_data</span><span class="p">(</span><span class="n">synoptic_data</span><span class="p">,</span> <span class="n">title</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="s1">&#39;sfcobs&#39;</span><span class="p">)</span>
<span class="c1"># Display the figure</span>
<span class="n">fig</span>
</pre></div>
</div>
<img alt="../../_images/Regional_Surface_Obs_Plot_48_0.png" src="../../_images/Regional_Surface_Obs_Plot_48_0.png" />
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html">Top</a></p>
</section>
</section>
<hr class="docutils" />
<section id="see-also">
<h3>See Also<a class="headerlink" href="#see-also" title="Permalink to this heading"></a></h3>
<ul class="simple">
<li><p><a class="reference external" href="https://www.aviationweather.gov/metar/help?page=plot">Aviation Weather Center Static METAR Plots
Information</a></p></li>
</ul>
<section id="related-notebooks">
<h4>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="http://unidata.github.io/python-awips/examples/generated/METAR_Station_Plot_with_MetPy.html">Metar Station Plot with
MetPy</a></p></li>
<li><p><a class="reference external" href="http://unidata.github.io/python-awips/examples/generated/Map_Resources_and_Topography.html">Map Resources and
Topography</a></p></li>
</ul>
</section>
<section id="additional-documentation">
<h4>Additional Documentation<a class="headerlink" href="#additional-documentation" title="Permalink to this heading"></a></h4>
<p><strong>python-awips:</strong></p>
<ul class="simple">
<li><p><a class="reference external" href="http://unidata.github.io/python-awips/api/DataAccessLayer.html#awips.dataaccess.DataAccessLayer.changeEDEXHost">DataAccessLayer.changeEDEXHost()</a></p></li>
<li><p><a class="reference external" href="http://unidata.github.io/python-awips/api/DataAccessLayer.html#awips.dataaccess.DataAccessLayer.newDataRequest">DataAccessLayer.newDataRequest()</a></p></li>
<li><p><a class="reference external" href="http://unidata.github.io/python-awips/api/IDataRequest.html">IDataRequest</a></p></li>
<li><p><a class="reference external" href="http://unidata.github.io/python-awips/api/PyGeometryData.html">DataAccessLayer.getGeometryData</a></p></li>
</ul>
<p><strong>datetime:</strong></p>
<ul class="simple">
<li><p><a class="reference external" href="https://docs.python.org/3/library/datetime.html#datetime-objects">datetime.datetime</a></p></li>
<li><p><a class="reference external" href="https://docs.python.org/3/library/datetime.html?#datetime.datetime.utcnow">datetime.utcnow()</a></p></li>
<li><p><a class="reference external" href="https://docs.python.org/3/library/datetime.html#timedelta-objects">datetime.timedelta</a></p></li>
<li><p><a class="reference external" href="https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior">datetime.strftime() and
datetime.strptime()</a></p></li>
</ul>
<p><strong>numpy:</strong></p>
<ul class="simple">
<li><p><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.array.html">np.array</a></p></li>
</ul>
<p><strong>cartopy:</strong></p>
<ul class="simple">
<li><p><a class="reference external" href="https://scitools.org.uk/cartopy/docs/v0.14/crs/projections.html?#cartopy-projection-list">cartopy projection
list</a></p></li>
</ul>
<p><strong>matplotlib:</strong></p>
<ul class="simple">
<li><p><a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.html">matplotlib.pyplot()</a></p></li>
<li><p><a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html">matplotlib.pyplot.figure()</a></p></li>
<li><p><a class="reference external" href="https://matplotlib.org/stable/api/image_api.html?highlight=set_extent#matplotlib.image.AxesImage.set_extent">ax.set_extent</a></p></li>
<li><p><a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.set_title.html">ax.set_title</a></p></li>
</ul>
<p><strong>metpy:</strong></p>
<ul class="simple">
<li><p><a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.calc.wind_components.html">metpy.calc.wind_components</a></p></li>
<li><p><a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.StationPlot.html">metpy.plots.StationPlot()</a></p></li>
<li><p><a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.StationPlotLayout.html">metpy.plots.StationPlotLayout()</a></p></li>
<li><p><a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.units.html">metpy.units</a></p></li>
</ul>
<p><a class="reference external" href="https://unidata.github.io/python-awips/examples/generated/Regional_Surface_Obs_Plot.html">Top</a></p>
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