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  • Presentation | A13A: Advances in Cloud and Precipitation Processes: Integrating Observations, Modeling, and Theory I Oral
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  • A13A-01: Same As It Ever Was: Integrating observations and theory to simulate clouds and precipitation in the age of Artificial Intelligence (invited)
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  • Location Icon275-277
    NOLA CC
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Author(s):
Andrew Gettelman, Pacific Northwest National Laboratory (First Author, Presenting Author)
Po-Lun Ma, Pacific Northwest National Laboratory
Hugh Morrison, NSF NCAR, MMM Laboratory
Marcus van Lier Walqui, Columbia University


Artificial Intelligence (AI) data driven methods provide a new set of tools for all science. Cloud and precipitation physics is no exception. This presentation will argue that we have been integrating cloud observations with modeling for a long time. . This talk will provide some examples of how AI methods are accelerating progress in using observations and detailed models to understand clouds and their role in weather extremes from minutes to decadal timescales.



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