Reduced Spring Precipitation Bias and Associated Physical Causes over South China in FGOALS-f3 Climate Models:Experiments with the Horizontal Resolutions

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外文摘要：Considerable spring precipitation occurs over South China(SC),a region that is adjacent to large-scale Asian topo-graphy and oceans.Its reasonable simulation is crucial for improving regional climate predictability.This study in-vestigates spring precipitation biases over SC and their possible causes in atmosphere-only and coupled Flexi-ble Global Ocean-Atmosphere-Land System finite-volume version 3(FGOALS-f3)models with different horizon-tal resolutions.The performance of spring precipitation simulation over SC varies across different FGOALS-f3 mo-del versions,with the best reproducibility in the high-resolution coupled model(25 km).In the low-resolution atmo-sphere-only model(100-125 km),the precipitation dry bias over SC is closely linked to overestimated surface sens-ible forcing over the eastern Tibetan Plateau(TP),which weakens the subtropical anticyclone over the western Pa-cific(SAWP)through regional circulation responses.By contrast,the high-resolution atmosphere-only model further amplifies surface thermal forcing in the Asian continents,causing intensified land-sea thermal contrast between the Southeast Asian continents and western Pacific,enhanced southerly winds and SAWP,and increased water vapor transport into SC.Meanwhile,the reduced middle-high level cold bias over 10°-30°N in the high-resolution atmo-sphere-only model intensifies the East Asian westerly jet and ascent over SC,leading to enhanced spring precipita-tion there.The high-resolution coupled model simulation not only reduces sea surface cold bias over the Bay of Bengal,thus intensifying the Indian-Burma trough and strengthening low-level water vapor transport into SC,but also enhances ascent over SC.As a result,the high-resolution coupled model better reproduces the magnitude and pattern of spring precipitation over SC than its atmosphere-only model.Compared with low-resolution models,the domain-mean spring precipitation dry bias decreases by 11.2％over SC in the high-resolution atmosphere-only mo-del and by 35.9％in the coupled model.These results demonstrate that the high-resolution FGOALS-f3 models can improve simulations of the influencing atmospheric circulations and spring precipitation over SC.

外文关键词：

South Chinaspring precipitationhigh resolutionFlexible Global Ocean-Atmosphere-Land System fi-nite-volume version 3(FGOALS-f3)modelssimulation

作者：

Peng ZI、Yimin LIU、Jiandong LI、Ruowen YANG、Bian HE、Qing BAO

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作者单位：

Department of Atmospheric Science,Yunnan University,Kunming 650504

State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029

基金：

National Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNatural Science Foundation of Yunnan ProvinceYunnan University Graduate Research and Innovation FundNational Key Scientific and Technological Infrastructure Project of China"Earth System Science Numerical Simulator Facility"(Ear

项目编号：

2022YFF0802003422881014227502641975109202301AV070001KC-22221894

出版年：

2024

DOI：

10.1007/s13351-024-3200-4

气象学报(英文版)

中国气象学会

气象学报(英文版)

CSTPCD

影响因子：0.57

ISSN：0894-0525

年,卷(期)：2024.38(4)