Perspectives on Systematic Cloud Microphysics Scheme Development With Machine Learning

Abstract Cloud microphysics—the collection of processes that govern the small‐scale formation, evolution, and interactions of liquid droplets and ice crystals in clouds and precipitation—remains a major source of uncertainty in weather and climate models. Although too small in scale to be explicitly...

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Hlavní autoři:	Kara D. Lamb, Clare E. Singer, Kaitlyn Loftus, Hugh Morrison, Margaret Powell, Joseph Ko, Jatan Buch, Arthur Z. Hu, Marcus vanLier Walqui, Pierre Gentine
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	American Geophysical Union (AGU) 2026-01-01
Edice:	Journal of Advances in Modeling Earth Systems
Témata:	cloud microphysics cloud parameterizations bulk microphysics schemes machine learning
On-line přístup:	https://doi.org/10.1029/2025MS005341
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