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<feed xmlns="http://www.w3.org/2005/Atom"><title>PyVideo.org - Aaron Hill</title><link href="https://pyvideo.org/" rel="alternate"></link><link href="https://pyvideo.org/feeds/speaker_aaron-hill.atom.xml" rel="self"></link><id>https://pyvideo.org/</id><updated>2017-07-12T00:00:00+00:00</updated><subtitle></subtitle><entry><title>Time Atmospheric Data During VORTEX SE</title><link href="https://pyvideo.org/scipy-2017/time-atmospheric-data-during-vortex-se.html" rel="alternate"></link><published>2017-07-12T00:00:00+00:00</published><updated>2017-07-12T00:00:00+00:00</updated><author><name>Abby Kenyon</name></author><id>tag:pyvideo.org,2017-07-12:/scipy-2017/time-atmospheric-data-during-vortex-se.html</id><summary type="html">&lt;h3&gt;Description&lt;/h3&gt;&lt;p&gt;The Verification of the Origins of Rotation in Tornadoes Experiment Southeast (VORTEX-SE) is a field collaboration between several different institutions to gain a comprehensive look at atmospheric conditions conducive for tornadic activity in the Southeastern United States. In 2016 and 2017, Texas Tech University Atmospheric Science researchers deployed semi-permanent …&lt;/p&gt;</summary><content type="html">&lt;h3&gt;Description&lt;/h3&gt;&lt;p&gt;The Verification of the Origins of Rotation in Tornadoes Experiment Southeast (VORTEX-SE) is a field collaboration between several different institutions to gain a comprehensive look at atmospheric conditions conducive for tornadic activity in the Southeastern United States. In 2016 and 2017, Texas Tech University Atmospheric Science researchers deployed semi-permanent StickNet weather stations to record fine-scale atmospheric data. Python tools were utilized and developed to visualize the weather conditions occurring at each individual station as well as provide a comprehensive look over the entire StickNet domain. Examples of how Python is used to create real-time meteograms and display NWS radar data from the NEXRAD Amazon Web Services archive will be presented.&lt;/p&gt;
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