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PyDDA: A Python package for multi-Doppler wind retrievals

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PyDDA: A Python package for multi-Doppler wind retrievals

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Wind observations in thunderstorms are critical for improving our capability to predict severe weather. The United States has a wide radar network that is capable of obtaining winds from thunderstorms. However, obtaining 3D wind observations from such radars is a nontrivial task since the radars only measure the component of the wind in the direction of the radar beam. This therefore requires the use of variational techniques to retrieve winds from multiple Doppler radars to provide a full three dimensional view of the winds inside thunderstorms. In this presentation, I will provide an overview of an open source package PyDDA which implements the variational technique that enables users to create multiple Doppler wind retrievals from radar networks with just a few lines of code. Examples of such wind retrievals for Hurricane Florence and a tornado in Sydney, Australia will first be shown. The talk will then conclude with a Jupyter Book tutorial that shows an example on how to use PyDDA to retrieve 3D winds from an example case of severe thunderstorms sampled near the Bankhead National Forest U.S. Department of Energy Atmospheric Radiation Measurement Mobile Facility Deployment site. This is joint work with Scott Collis, Max Grover, Joseph O'Brien, Zach Sherman, Paul Hovland, Sri Hari Krishna Naraynan, Rebecca Gjini, Matt Menickelly, Todd Munson, Timothy Lang, and Jan Huckelheim.

This is a hybrid event. To attend online, join us on Zoom here at 6pm:
https://numfocus-org.zoom.us/j/82526680045?pwd=NE5HRXBIdUNmK0ROWGZXWDFnTW5adz09

Sponsor: Discovery Partners Institute (DPI) and PyData Chicago co-host this event. DPI will provide the meeting site. PyData Chicago and NumFocus will sponsor pizza and soft drinks for the onsite participants.

  • DPI Address: 200 S. Wacker Drive, Chicago IL 60606
  • Logistics: To access the meeting room Discovery on the 4th floor at DPI, we require first and last names of those who RSVP'd by Aug 22. Attendees will then present their IDs when they arrive at the front desk (right when they enter the building).
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