Impacts of Local and Remote Sub‐Grid Terrain Solar Radiative Effect on the Meiyu Rainfall Forecast in the Yangtze‐Huaihe River Basin, China

Abstract Including the sub‐grid terrain solar radiative effect (STSRE) of East Asia in the convection‐permitting Weather Research and Forecasting model can clearly improve the forecast skill of Meiyu rainfall in the Yangtze‐Huaihe River Basin (YHRB). However, the STSRE of which region mainly leads to the improvement of Meiyu rainfall forecast remains unclear. This study systematically explores the impacts of local and remote STSRE on the Meiyu rainfall forecast, their relative importance, and underlying physical mechanisms. Results show that relative to the remote STSRE of Tibetan Plateau (TP), the local STSRE of YHRB leads to relatively larger improvement of Meiyu rainfall forecast with the root mean square error decreased by 6.24% and Taylor score increased by 2.76%. Further mechanism analysis indicates that the STSRE of the TP weakens the TP heat source, leading to weakening and westward shifting of the South Asian High, which in turn suppresses the divergence in the upper troposphere and the ascending motion over the YHRB and thereafter improves Meiyu rainfall forecast. In contrast, the STSRE of the YHRB decreases surface incident solar radiation and surface thermal conditions, producing a cold anomaly and anticyclonic circulation difference in the lower troposphere over the YHRB. This anticyclonic difference directly weakens southwesterly water vapor transport, thereby reducing the overestimation of Meiyu rainfall. This study highlights the importance of local terrain (rather than the TP) in enhancing Meiyu rainfall forecast accuracy for 3–4 days weather forecasts.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-11-20
DOI
https://doi.org/10.1029/2025jd044324
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00

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article

Impacts of Local and Remote Sub‐Grid Terrain Solar Radiative Effect on the Meiyu Rainfall Forecast in the Yangtze‐Huaihe River Basin, China

Anning Huang, Shuxin Cai, Chunlei Gu, Kefeng Zhu et al.
Journal of Geophysical Research Atmospheres
Meteorological Phenomena and Simulations
article

Impacts of Local and Remote Sub‐Grid Terrain Solar Radiative Effect on the Meiyu Rainfall Forecast in the Yangtze‐Huaihe River Basin, China

Anning Huang, Shuxin Cai, Chunlei Gu, Kefeng Zhu, Yang Wu, Xinsheng Zhu, Wei Zhao
article en

Abstract

Abstract Including the sub‐grid terrain solar radiative effect (STSRE) of East Asia in the convection‐permitting Weather Research and Forecasting model can clearly improve the forecast skill of Meiyu rainfall in the Yangtze‐Huaihe River Basin (YHRB). However, the STSRE of which region mainly leads to the improvement of Meiyu rainfall forecast remains unclear. This study systematically explores the impacts of local and remote STSRE on the Meiyu rainfall forecast, their relative importance, and underlying physical mechanisms. Results show that relative to the remote STSRE of Tibetan Plateau (TP), the local STSRE of YHRB leads to relatively larger improvement of Meiyu rainfall forecast with the root mean square error decreased by 6.24% and Taylor score increased by 2.76%. Further mechanism analysis indicates that the STSRE of the TP weakens the TP heat source, leading to weakening and westward shifting of the South Asian High, which in turn suppresses the divergence in the upper troposphere and the ascending motion over the YHRB and thereafter improves Meiyu rainfall forecast. In contrast, the STSRE of the YHRB decreases surface incident solar radiation and surface thermal conditions, producing a cold anomaly and anticyclonic circulation difference in the lower troposphere over the YHRB. This anticyclonic difference directly weakens southwesterly water vapor transport, thereby reducing the overestimation of Meiyu rainfall. This study highlights the importance of local terrain (rather than the TP) in enhancing Meiyu rainfall forecast accuracy for 3–4 days weather forecasts.

Journal of Geophysical Research AtmospheresVol. 130(22)
Ministry of Ecology and Environment (CN), State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (CN), Jiangsu Institute of Meteorological Sciences (CN), Chinese Academy of Meteorological Sciences (CN), Zhejiang Meteorological Bureau (CN), Nanjing Institute of Environmental Sciences (CN), Nanjing University (CN)
National Natural Science Foundation of China, Jiangsu University, Nanjing University, Jiangsu Collaborative Innovation Center for Climate Change
Openalex Percentile: Top 60%
Meteorological Phenomena and Simulations
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