Development of CAS-ESM_MMF: improving East Asian summer precipitation simulation with a Multiscale Modeling Framework

Abstract. Traditional global climate models (GCMs) exhibit substantial biases in simulating precipitation over East Asia, largely due to uncertainties in convection parameterizations. To address this issue, we implement a Multiscale Modeling Framework (MMF), which explicitly resolves convection in a cloud resolving model, into the atmospheric component of the Chinese Academy of Sciences Earth System Model (CAS-ESM). Simulations using CAS-ESM with and without MMF reveal that the MMF implementation significantly reduces the wet bias around the Tibetan Plateau and the dry bias over South China and Southeast Asia. The intensity–frequency characteristics of precipitation are more realistically represented in the MMF version. In addition, the CAS-ESM with MMF better captures the monthly evolution of precipitation and simulates a more realistic seasonal migration of the East Asian rainband, albeit with a somewhat step-wise progression. Further enhancement is achieved by incorporating a convective momentum transport (CMT) parameterization, typically neglected in previous MMF implementations. This inclusion leads to a smoother northward migration of the rainband, more consistent with observations. Comparison with ERA5 reanalysis suggests that this improvement is associated with a more accurate simulation of the western Pacific subtropical high. These results demonstrate that MMF, especially when combined with CMT, substantially improves the simulation of East Asian precipitation. This modeling advancement offers a promising approach for evaluating regional precipitation responses to future climate change.

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Publication Details

Journal
Geoscientific model development
Published
2026-01-09
DOI
https://doi.org/10.5194/gmd-19-327-2026
Primary Topic
Climate variability and models
Type
article
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article

Development of CAS-ESM_MMF: improving East Asian summer precipitation simulation with a Multiscale Modeling Framework

Wenbin Kou, Guangxing Lin, Wei Ming Liao, Xiaojie Guo et al.
Geoscientific model development
Climate variability and models
article

Development of CAS-ESM_MMF: improving East Asian summer precipitation simulation with a Multiscale Modeling Framework

Wenbin Kou, Guangxing Lin, Wei Ming Liao, Xiaojie Guo, Qiu Yang, Chenglai Wu, He Zhang, Zhenghui Xie, Minghua Zhang
article en

Abstract

Abstract. Traditional global climate models (GCMs) exhibit substantial biases in simulating precipitation over East Asia, largely due to uncertainties in convection parameterizations. To address this issue, we implement a Multiscale Modeling Framework (MMF), which explicitly resolves convection in a cloud resolving model, into the atmospheric component of the Chinese Academy of Sciences Earth System Model (CAS-ESM). Simulations using CAS-ESM with and without MMF reveal that the MMF implementation significantly reduces the wet bias around the Tibetan Plateau and the dry bias over South China and Southeast Asia. The intensity–frequency characteristics of precipitation are more realistically represented in the MMF version. In addition, the CAS-ESM with MMF better captures the monthly evolution of precipitation and simulates a more realistic seasonal migration of the East Asian rainband, albeit with a somewhat step-wise progression. Further enhancement is achieved by incorporating a convective momentum transport (CMT) parameterization, typically neglected in previous MMF implementations. This inclusion leads to a smoother northward migration of the rainband, more consistent with observations. Comparison with ERA5 reanalysis suggests that this improvement is associated with a more accurate simulation of the western Pacific subtropical high. These results demonstrate that MMF, especially when combined with CMT, substantially improves the simulation of East Asian precipitation. This modeling advancement offers a promising approach for evaluating regional precipitation responses to future climate change.

Geoscientific model developmentVol. 19(1)
Xiamen University (CN), Peking University (CN), Institute of Atmospheric Physics (CN), University of Chinese Academy of Sciences (CN), Ocean University of China (CN), Stony Brook University (US)
Climate action
Openalex Percentile: Top 96%
Climate variability and models
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