Evaluation of Autoconversion Representation in E3SMv2 Using an Ensemble of Large‐Eddy Simulations of Low‐Level Warm Clouds

Evaluation of Autoconversion Representation in E3SMv2 Using an Ensemble of Large‐Eddy Simulations of Low‐Level Warm Clouds

Abstract In numerical atmospheric models that treat cloud and rain droplet populations as separate condensate categories, precipitation initiation in warm clouds is often represented by an autoconversion rate (Au), which is the rate of formation of new rain droplets through the collisions of cloud d...

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Bibliographic Details
Main Authors: Mikhail Ovchinnikov, Po‐Lun Ma, Colleen M. Kaul, Kyle G. Pressel, Meng Huang, Jacob Shpund, Shuaiqi Tang
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2024-10-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
autoconversion parameterization
large‐eddy simulation
subgrid variability
climate modeling
precipitation
cloud
Online Access:https://doi.org/10.1029/2024MS004280
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https://doi.org/10.1029/2024MS004280

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