APPLICATION EXPERIMENT OF ASSIMILATING RADAR-RETRIEVED WATER VAPOR IN SHORT-RANGE FORECAST OF RAINFALL IN THE ANNUALLY FIRST RAINY SEASON OVER SOUTH CHINA

被引:0
|
作者
Zhang Cheng-zhong [1 ]
Chen Zi-tong [1 ]
Wan Qi-lin [1 ]
Lin Zhen-min [2 ]
Huang Yan-yan [1 ]
Dai Guang-feng [1 ]
Ding Wei-yu [1 ]
机构
[1] CMA, Guangzhou Inst Trop & Marine Meteorol, Guangdong Prov Key Lab Reg Numer Weather Predict, Guangzhou 510080, Guangdong, Peoples R China
[2] Guangxi Reg Meteorol Observ, Nanning 530002, Peoples R China
基金
中国国家自然科学基金;
关键词
radar-retrieved water vapor; rainfall in annually first rainy season; short-range forecast; data assimilation; PRECIPITATION DATA; MODEL; INITIALIZATION;
D O I
10.16555/j.1006-8775.2016.04.012
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A scheme of assimilating radar-retrieved water vapor is adopted to improve the quality of NWP initial field for improvement of the accuracy of short-range precipitation prediction. To reveal the impact of the assimilation of radar-retrieved water vapor on short-term precipitation forecast, three parallel experiments, cold start, hot start and hot start plus the assimilation of radar-retrieved water vapor, are designed to simulate the 31 days of May, 2013 with a fine numerical model for South China. Furthermore, a case of heavy rain that occurred from 8-9 May 2013 over the region from the southwest of Guangdong province to Pearl River Delta is analyzed in detail. Results show that the cold start experiment is not conducive to precipitation 12 hours ahead; the hot start experiment is able to reproduce well the first 6 hours of precipitation, but badly for subsequent prediction; the experiment of assimilating radar-retrieved water vapor is not only able to simulate well the precipitation 6 hours ahead, but also able to correctly predict the evolution of rain bands from 6 to 12 hours in advance.
引用
收藏
页码:578 / 588
页数:11
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  • [1] APPLICATION EXPERIMENT OF ASSIMILATING RADAR-RETRIEVED WATER VAPOR IN SHORT-RANGE FORECAST OF RAINFALL IN THE ANNUALLY FIRST RAINY SEASON OVER SOUTH CHINA
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    Journal of Tropical Meteorology, 2016, 22 (04) : 578 - 588