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EXPERIMENTS ON ASSIMILATION OF INITIAL VALUES IN NUMERICAL PREDICTION OF A WARM-SECTOR PRECIPITATION IN SOUTH CHINA
作者姓名:张诚忠  万齐林  黄燕燕  陈子通  丁伟钰
作者单位:Guangzhou Institute of Tropical and Marine Meteorology, CMA
基金项目:Public Welfare Project (GYHX(QX)2007-6-14); Basic operational fees for highest-level public welfare research institutes
摘    要:In order to understand the impact of initial conditions upon prediction accuracy of short-term forecast and nowcast of precipitation in South China, four experiments i.e. a control, an assimilation of conventional sounding and surface data, testing with nudging rainwater data and the assimilation of radar-derived radial wind, are respectively conducted to simulate a case of warm-sector heavy rainfall that occurred over South China, by using the GRAPES_MESO model. The results show that (1) assimilating conventional surface and sounding observations helps improve the 24-h rainfall forecast in both the area and order of magnitude; (2) nudging rainwater contributes to a significant improvement of nowcast, and (3) the assimilation of radar-derived radial winds distinctly improves the 24-h rainfall forecast in both the area and order of magnitude. These results serve as significant technical reference for the study on short-term forecast and nowcast of precipitation over South China in the future.

关 键 词:降水量  中国  数值预报  同化  实验  初始值  温暖  短期预报

EXPERIMENTS ON ASSIMILATION OF INITIAL VALUES IN NUMERICAL PREDICTION OF A WARM-SECTOR PRECIPITATION IN SOUTH CHINA
ZHANG Cheng-zhong,WAN Qi-lin,HUANG Yan-yan,CHEN Zi-tong and DING Wei-yu.EXPERIMENTS ON ASSIMILATION OF INITIAL VALUES IN NUMERICAL PREDICTION OF A WARM-SECTOR PRECIPITATION IN SOUTH CHINA[J].Journal of Tropical Meteorology,2009,15(1):73-77.
Authors:ZHANG Cheng-zhong  WAN Qi-lin  HUANG Yan-yan  CHEN Zi-tong and DING Wei-yu
Institution:Guangzhou Institute of Tropical and Marine Meteorology,CMA,Guangzhou 510080 China
Abstract:In order to understand the impact of initial conditions upon prediction accuracy of short-term forecast and nowcast of precipitation in South China, four experiments i.e. a control, an assimilation of conventional sounding and surface data, testing with nudging rainwater data and the assimilation of radar-derived radial wind, are respectively conducted to simulate a case of warm-sector heavy rainfall that occurred over South China, by using the GRAPES_MESO model. The results show that (1) assimilating conventional surface and sounding observations helps improve the 24-h rainfall forecast in both the area and order of magnitude; (2) nudging rainwater contributes to a significant improvement of nowcast, and (3) the assimilation of radar-derived radial winds distinctly improves the 24-h rainfall forecast in both the area and order of magnitude. These results serve as significant technical reference for the study on short-term forecast and nowcast of precipitation over South China in the future.
Keywords:South China  initial conditions  warm-sector precipitation  numerical simulation experiment
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