A Case Study of Radar-derived Quantitative precipitation Estimation

被引:2
|
作者
Yang, Lili [1 ]
Yang, Yi [1 ]
Qi, Youcun [2 ]
Qiu, Xuexing [3 ]
Gong, Zhongqiang [3 ]
机构
[1] Lanzhou Univ, Coll Atmospher Sci, Key Lab Arid Climat Changing & Reducing Disaster, Key Lab Semiarid Climate Change,Minist Educ, Lanzhou 730000, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Coll Atmosphere Sci, Nanjing, Peoples R China
[3] Weather Serv Forecast Office Anhui Province, Hefei, Peoples R China
基金
美国国家科学基金会;
关键词
Radar; QPE; cloud classification; PHYSICAL INITIALIZATION; ASSIMILATION; SYSTEM;
D O I
10.4028/www.scientific.net/AMR.726-731.4541
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The convective and stratiform precipitations have different precipitation mechanisms. Different reflectivity-rainfall rate (Z-R) relations should be used for them. A heavy precipitation process on 22nd July, 2009(UTC) in Anhui Province is analyzed with Hefei Doppler radar and 269 rain gauges. First, the type of precipitation is obtained by a fuzzy logic algorithm with radar data. Then the reflectivity values are converted to rainfall rates using an adaptive Z-R relation according to different rain types. It is tested with the case and showed significant improvements over the current operational Z-R QPE when compared with gauges. Results also show that the precipitation process is caused by stratiform and convective precipitation; the rain estimated from radar corresponds well with cloud classification.
引用
收藏
页码:4541 / +
页数:2
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