1． College of Hydrology and Water Ｒesources，Hohai University，Nanjing 210098，China;
2．State Key Laboratory of Hydrology－water Ｒesources and Hydraulic Engineering，Hohai University，Nanjing 210098，China
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稿件信息+
收稿日期
修订日期
出版日期
2019-04-10
2019-04-02
2019-11-15
发布日期
2019-12-30
摘要
基于地面格网降水产品CGDPA(China Gauge-based Precipitation Daily Analysis dataset)，利用4个统计指标、分类度量等方法评估和比较CHIRPS(Climate Hazards group InfraRed Precipitation with Station data)、CMORPH-BLD (Climate Prediction Center Morphing technique satellite–gauge merged)、PERSIANN-CDR (Remotely Sensed Information Using Artificial Neural Networks–Climate Data Record)、TRMM (Tropical Rainfall Measuring Mission) 3B42V7卫星数据源在不同省份不同尺度的降水监测能力。结果表明：1）江西月降水量最大值在6月份，其余在7月份达年内最大值；TRMM 3B42V7在不同省份捕捉月降水的性能最好。2）从降水量及相关系数分析，TRMM 3B42V7在5省均较好的估计四季降水。3）卫星降水产品与CGDPA的相关性在低降水估值地区较弱，在高降水地区相关性较强；根据相关系数空间分布和箱线图，PERSIANN-CDR相对适用于新疆、吉林，TRMM 3B42V7较适用于陕西、江西以及云南。
Abstract
Based on the China Gauge － based Precipitation Daily Analysis dataset ( CGDPA) of ground grid precipitation product，four
statistical indicators and classification measures are used to evaluate and compare the rainfall monitoring capabilities of Climate Hazards group
Infrared Precipitation with Station Data ( CHIＲPS) ，Climate Prediction Center Morphing technique satellite－gauge merged ( CMOＲPH－
BLD) ，Ｒemotely Sensed Information Using Artificial Neural Networks － Climate Data Ｒecord ( PEＲSIANN － CDＲ) ，Tropical Ｒainfall
Measuring Mission ( TＲMM) 3B42V7 satellite data sources at different scales in different provinces． The results show that: ① The maximum
monthly precipitation in Jiangxi is in June，and the rest reaches the maximum in July． TＲMM 3B42V7 has the best performance in capturing
monthly precipitation in different provinces． ② Based on an analysis of precipitation and correlation coefficients，TＲMM 3B42V7 can better
estimate the four seasons precipitation in 5 provinces． ③ The correlation between satellite precipitation products and CGDPA is weak in low
precipitation estimation area，but strong in high precipitation area． According to the spatial distribution of the correlation coefficient and box
chart，PEＲSIANN－CDＲ is suitable for Xinjiang and Jilin，while TＲMM 3B42V7 is more suitable for Shanxi，Jiangxi and Yunnan．
WEI Lin-yong, JIANG Shan-hu, ＲEN Li-liang, ZHANG Lin-qi, ZHOU Meng-yao.
Evaluation and Comparison of Multi－Source Satellite Precipitation
Products in Different Climate Ｒegions over Mainland China[J].China Rural Water and Hydropower, 2019(11): 38-44
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