Parameterizing Cloud Microphysics with ML Enabled Bayesian Parameter Inference with Kaitlyn Loftus

Описание к видео Parameterizing Cloud Microphysics with ML Enabled Bayesian Parameter Inference with Kaitlyn Loftus

https://doi.org/10.1029/2019MS001689

Kaitlyn Loftus (she/her): Kait is a LEAP postdoc at Columbia working on liquid cloud microphysics parameterizations. Kait is broadly interested in how hydrological cycles work on different planetary bodies (e.g., modern Earth, ancient Mars, Titan, exoplanets).

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