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- Qilin Wan
- Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Guangzhou, China
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- Bin Wang
- Institute of Heavy Rainfall, Wuhan, China
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- Wai Kin Wong
- Hong Kong Observatory, Hong Kong, China
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- Zhiqun Hu
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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- Ben Jong-Dao Jou
- Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan
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- Yanluan Lin
- Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, and Joint Center for Global Change Studies, Tsinghua University, Beijing, China
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- Richard H. Johnson
- Colorado State University, Fort Collins, Colorado
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- Chih-Pei Chang
- Naval Postgraduate School, Monterey, California
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- Yuejian Zhu
- NOAA/NCEP, College Park, Maryland
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- Xubin Zhang
- Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Guangzhou, China
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- Hui Wang
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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- Rudi Xia
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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- Juhui Ma
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China
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- Da-Lin Zhang
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China, and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland
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- Mei Gao
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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- Yijun Zhang
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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- Xi Liu
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, and State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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- Yangruixue Chen
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, and University of Chinese Academy of Sciences, Beijing, China
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- Huijun Huang
- Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Guangzhou, China
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- Xinghua Bao
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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- Zheng Ruan
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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- Zhehu Cui
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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- Zhiyong Meng
- Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
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- Jiaxiang Sun
- CAAC East China Regional Air Traffic Administration, Shanghai, China
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- Mengwen Wu
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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- Hongyan Wang
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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- Xindong Peng
- State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
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- Weimiao Qian
- Shijiazhuang Meteorological Bureau, Shijiazhuang, China
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- Kun Zhao
- Nanjing University, Nanjing, China
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- Yanjiao Xiao
- Institute of Heavy Rainfall, Wuhan, China
書誌事項
- 公開日
- 2017-05
- DOI
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- 10.1175/bams-d-15-00235.1
- 公開者
- American Meteorological Society
この論文をさがす
説明
<jats:title>Abstract</jats:title><jats:p>During the presummer rainy season (April–June), southern China often experiences frequent occurrences of extreme rainfall, leading to severe flooding and inundations. To expedite the efforts in improving the quantitative precipitation forecast (QPF) of the presummer rainy season rainfall, the China Meteorological Administration (CMA) initiated a nationally coordinated research project, namely, the Southern China Monsoon Rainfall Experiment (SCMREX) that was endorsed by the World Meteorological Organization (WMO) as a research and development project (RDP) of the World Weather Research Programme (WWRP). The SCMREX RDP (2013–18) consists of four major components: field campaign, database management, studies on physical mechanisms of heavy rainfall events, and convection-permitting numerical experiments including impact of data assimilation, evaluation/improvement of model physics, and ensemble prediction. The pilot field campaigns were carried out from early May to mid-June of 2013–15. This paper: i) describes the scientific objectives, pilot field campaigns, and data sharing of SCMREX; ii) provides an overview of heavy rainfall events during the SCMREX-2014 intensive observing period; and iii) presents examples of preliminary research results and explains future research opportunities.</jats:p>
収録刊行物
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- Bulletin of the American Meteorological Society
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Bulletin of the American Meteorological Society 98 (5), 999-1013, 2017-05
American Meteorological Society

