LightningCast

The LightningCast AI model was developed by John Cintineo at the University of Wisconsin/Cooperative Institute for Meteorological Satellite Studies (CIMSS), and tested in 2021 to advance fire weather forecasts by providing information that's user-friendly and continuously accurate.

"AI is the automation of intellectual tasks normally performed by humans. While human experts excel at extracting information from satellite imagery, they can only analyze a small fraction of the firehose of environmental data so automation that approaches human expert skill is absolutely necessary for fully exploiting environmental data sources, such as satellites," Mike Pavolonis, physical scientist with the NOAA/NESDIS Center for Satellite Applications and Research  said. "LightningCast has continued to evolve and is now routinely used by NWS forecasters for decision support, aviation forecasting, and most recently, forecasting thunderstorms at wildland fire incidents as thunderstorms are a major hazard for fire crews and such storms can be challenging to predict."

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