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A Deep-Learning Model for Automated Detection of Intense Midlatitude Convection Using Geostationary Satellite Images

John L. Cintineo, Michael J. Pavolonis, Justin M. Sieglaff, Anthony Wimmers, Jason Brunner, and Willard Bellon

supercell thunderstorms ( Apke et al. 2016 ). Textural patterns at cloud top have also been used to infer updraft strength ( Bedka and Khlopenkov 2016 ). In the presence of strong upper-level flow, some overshoots generate above-anvil cirrus plumes (AACP) downstream from the overshooting top as a result of internal gravity wave breaking and are apparent in visible satellite imagery ( Wang 2003 ; Wang et al. 2016 ; Homeyer et al. 2017 ; Bedka et al. 2018 ). AACPs in visible imagery are responsible for

Journal:
Weather and Forecasting
Volume/Issue:
Volume 35: Issue 6
DOI:
https://doi.org/10.1175/WAF-D-20-0028.1
Published Online:
08 Dec 2020
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