An extreme rainfall event that occurred in Beijing city during 19-21 July 2016 was investigated. The analysis indicated that the main pattern at 500 hPa was a "two-ridges-one-trough" pattern; meanwhile, the cyclonic circulation at 850 hPa controlled the Beijing area and the southerly wind brought wet air to Beijing, causing abundant water vapor during this event. Hindcast experiments were carried out using the NCAR's Weather Research and Forecasting model with the NCEP's Global Forecast System datasets as the initial and boundary conditions. We found that the model ensemble could reproduce the spatial distribution of the rainfall, and different model physical parameterization scheme combinations led to differing simulation skill. Furthermore, the analysis indicated that the model performed differently in different periods of the rainfall event. The water vapor supply, divergence, rain mixing ratio, and cloud mixing ratio were the main factors that influenced the model's performance.
机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Wang, Yizhi
Liu, Jia
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China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Liu, Jia
Xu, Lin
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Beijing Water Conservat & Utilizat Management Affa, Beijing 100142, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Xu, Lin
Yu, Fuliang
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China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
Yu, Fuliang
Zhang, Shanjun
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China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China