Evaluation of latest TMPA and CMORPH satellite precipitation products over Yellow River Basin

被引:59
|
作者
Jiang, Shan-hu [1 ,2 ]
Zhou, Meng [1 ,2 ]
Ren, Li-liang [1 ]
Cheng, Xue-rong [1 ,2 ]
Zhang, Peng-ju [2 ]
机构
[1] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China
[2] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Satellite precipitation; TMPA; CMORPH; Yellow River Basin;
D O I
10.1016/j.wse.2016.06.002
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The main objective of this study was to evaluate four latest global high-resolution satellite precipitation products (TMPA 3B42RT, CMORPH, TMPA 3B42V7, and CMORPH_adj) against gauge observations of the Yellow River Basin from March 2000 to December 2012. The assessment was conducted with several commonly used statistical indices at daily and monthly scales. Results indicate that 3B42V7 and CMORPH_adj perform better than the near real-time products (3B42RT and CMORPH), particularly the 3B42V7 product. The adjustment by gauge data significantly reduces the systematic biases in the research products. Regarding the near real-time datasets, 3B42RT overestimates rainfall over the whole basin, while CMORPH presents a mixed pattern with negative and positive values of relative bias in low-and high-latitude regions, respectively, and CMORPH performs better than 3B42RT on the whole. According to the spatial distribution of statistical indices, these values are optimized in the southeast and decrease toward the northwest, and the trend is similar for the spatial distribution of the mean annual precipitation during the period from 2000 to 2012. This study also reveals that all the four products can effectively detect rainfall events. This study provides useful information about four mainstream satellite products in the Yellow River Basin, and the findings can facilitate the use of global precipitation measurement (GPM) data in the future. (C) 2016 Hohai University. Production and hosting by Elsevier B.V.
引用
收藏
页码:87 / 96
页数:10
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