文献类型：期刊文献

中文题名：Comparison of Adaptive Simulation Observation Experiments of the Heavy Rainfall in South China and Sichuan Basin

作者：Linbin HE[1,2,3];Weiyi PENG[1,2];Yu ZHANG[1];Shiguang MIAO[3];Siqi CHEN[4];Jiajing LI[1,5];Duanzhou SHAO[1];Xutao ZHANG[2]

机构：[1]College of Ocean and Meteorology,Guangdong Ocean University,Zhanjiang 524088,China;[2]Chinese Academy of Meteorology Sciences,Beijing 100081,China;[3]Institute of Urban Meteorology,China Meteorological Administration,Beijing 100089,China;[4]School of Marine Sciences,Nanjing University of Information Science and Technology,Nanjing 210044,China;[5]Dalian Marine Center,Ministry of Nature Resources of the People's Republic of China,Dalian 116001,China

年份：2024

卷号：41

期号：11

起止页码：2173

中文期刊名：Advances in Atmospheric Sciences

外文期刊名：大气科学进展（英文版）

收录：CSTPCD、、CSCD2023_2024、Scopus、CSCD、PubMed

基金：jointly supported by the Guangdong Province University Student Innovation and Entrepreneurship Project (580520049);the Guangdong Ocean University Scientific Research Startup Fund (R20021);the Key Laboratory of Plateau and Basin Rainstorm and Drought Disasters in Sichuan Province Open Research Fund (SZKT201902)。

语种：英文

中文关键词：adaptive observation;ensemble transform sensitivity;data assimilation;rainfall

中文摘要：This study examines the effectiveness of adaptive observation experiments using the ensemble transformation sensitivity(ETS) method to improve precipitation forecasts during heavy rainfall events in South China and the Sichuan Basin. High-resolution numerical models are employed to simulate adaptive observations. By identifying the sensitive areas of key weather system positions 42 hours before heavy rainfall events, the adaptive observations improve the prediction of jet streams, strong winds, and shear lines, which are essential for accurate heavy rainfall forecasting. This improvement is reflected in both the precipitation structure and location accuracy within the verification region. In South China, targeted observations enhance rainfall predictions by improving water vapor transport. In the Sichuan Basin, adaptive observations refine water vapor transport and adjust vortex dynamics. This research highlights the importance of accurately predicting shear lines and jet streams for forecasting heavy rainfall in these areas. Overall, this study found that adaptive observation enhances the precipitation forecast skills of the structure and location for heavy rainfall in South China and the Sichuan Basin, emphasizing their potential utility in operational numerical weather prediction.