COMPARISON OF EXTREME PRECIPITATION ESTIMATION FROM GPM DUAL-FREQUENCY RADAR AND GROUND-BASED RADAR NETWORK IN SOUTHERN CHINA

被引：0

作者：

Zhang, Asi ^{[1
,2
]}

Chen, Sheng ^{[1
,2
,3
]}

Fan, Shaojia ^{[1
]}

机构：

[1] Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou 510275, Guangdong, Peoples R China

[2] Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou, Guangdong, Peoples R China

[3] Colorado State Univ, Ft Collins, CO 80523 USA

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

关键词：

DPR; ground-based radar; extreme precipitation estimation;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This paper focuses on the inter-comparison of dual-frequency Precipitation radar(DPR) on board GPM core satellite and ground-based radar observations during the extreme precipitation estimation in southern China. Time and location matching technology is used to match DPR data and radar data. A Gauss function is applied compute sample weights to obtain a more accurate result. By distinguishing convective rainfall and stratiform rainfall, different Z-R relationships are adopted to estimate precipitation. The results are as follows: 1) DPR_HS, DPR_MS and DPR_NS show low correlation coefficient so that they are poorly correlated with radar for instantaneous precipitation rates; 2) DPR_HS, DPR_MS and DPR_NS show much more occurrences of light rainfall rates than radar; 3) DPR_MS occurrences of rainfall rates are similar with DPR_NS.

引用

页码：4534 / 4537

页数：4