Is there any product or package available to identify a thunderstorm as supercell, using radar data? For instance, a defining feature of a supercell is a rotating updraft, or a mesocyclone. So, a product using doppler velocity could be used for identification. I am dealing with several hailstorms, and need to categorize them as supercell and non-supercell. I couldn’t find any such product in PyART. If anybody could guide me regarding this, it would be very helpful for my project. Thanks in advance !
You would want to use some variation of a mesocyclone detection algorithm! There is an open-source one shared on Github
And here are some training materials from the US-based NEXRAD network AWIPS program (used by the National Weather Service)
Sessa et al. 2020 digs into the methdology of doing this by hand.
https://journals.ametsoc.org/view/journals/wefo/35/4/wafD190099.xml
We do not have anything in Py-ART that you could right out of the box as this is non-trivial task to execute!
Thanks for your reply. That was very helpful!