#32SLS - Twitter Hashtag

about 16 hours ago

Excited to present some of my Ph.D work at #32SLS. Some great and talented researchers presenting talks and posters, looking forward to a great rest of the week!

CIWRO @CIWRO_

about 17 hours ago

In 109 supercells, tornadic storms tended to have stronger, more organized rear-flank winds directed toward the low-level mesocyclone. Buoyancy differences were small, suggesting that outflow organization mattered more than whether it was warmer or colder. #AMSMadisonSummit

CIWRO_'s tweet photo. In 109 supercells, tornadic storms tended to have stronger, more organized rear-flank winds directed toward the low-level mesocyclone. Buoyancy differences were small, suggesting that outflow organization mattered more than whether it was warmer or colder. #AMSMadisonSummit https://t.co/ySu0oaIIJe

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PREVOTS

@prevots_svr

about 18 hours ago

Apresentação do nosso trabalho da 32nd Conference on Severe Local Storms na cidade de Madison, WI. #32SLS #AMSMadisonSummit

prevots_svr's tweet photo. Apresentação do nosso trabalho da 32nd Conference on Severe Local Storms na cidade de Madison, WI. #32SLS #AMSMadisonSummit https://t.co/vTNbL69pLs

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CIWRO @CIWRO_

3 days ago

Polarimetric radar signatures of mesoscale features offer critical insights into severe storm microphysics and dynamics. Traditional methods with AI can automatically identify and classify such signatures in phased-array radar data. #32SLS #AMSMadisonSummit

CIWRO_'s tweet photo. Polarimetric radar signatures of mesoscale features offer critical insights into severe storm microphysics and dynamics. Traditional methods with AI can automatically identify and classify such signatures in phased-array radar data. #32SLS #AMSMadisonSummit https://t.co/4HrWZTG48k

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