Improving Convection Trigger Functions in Deep Convective Parameterization Schemes Using Machine Learning

Abstract Deficiencies in convection trigger functions, used in deep convection parameterizations in General Circulation Models (GCMs), have critical impacts on climate simulations. A novel convection trigger function is developed using the machine learning (ML) classification model XGBoost. The larg...

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Bibliographic Details
Main Authors: Tao Zhang, Wuyin Lin, Andrew M. Vogelmann, Minghua Zhang, Shaocheng Xie, Yi Qin, Jean‐Christophe Golaz
Format: article
Language:EN
Published: American Geophysical Union (AGU) 2021
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Online Access:https://doaj.org/article/514db131478641698f3c9b4e958b6a6f
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