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Evaluation of Five Satellite-Based Precipitation Products in Two Gauge-Scarce Basins on the Tibetan Plateau
Bai, Peng; Liu, Xiaomang
2018-08-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume10Issue:8Pages:21
Corresponding AuthorBai, Peng(baip@igsnrr.ac.cn) ; Liu, Xiaomang(liuxm@igsnrr.ac.cn)
AbstractThe sparse rain gauge networks over the Tibetan Plateau (TP) cause challenges for hydrological studies and applications. Satellite-based precipitation datasets have the potential to overcome the issues of data scarcity caused by sparse rain gauges. However, large uncertainties usually exist in these precipitation datasets, particularly in complex orographic areas, such as the TP. The accuracy of these precipitation products needs to be evaluated before being practically applied. In this study, five (quasi-)global satellite precipitation products were evaluated in two gauge-sparse river basins on the TP during the period 1998-2012; the evaluated products are CHIRPS, CMORPH, PERSIANN-CDR, TMPA 3B42, and MSWEP. The five precipitation products were first intercompared with each other to identify their consistency in depicting the spatial-temporal distribution of precipitation. Then, the accuracy of these products was validated against precipitation observations from 21 rain gauges using a point-to-pixel method. We also investigated the streamflow simulation capacity of these products via a distributed hydrological model. The results indicated that these precipitation products have similar spatial patterns but significantly different precipitation estimates. A point-to-pixel validation indicated that all products cannot efficiently reproduce the daily precipitation observations, with the median Kling-Gupta efficiency (KGE) in the range of 0.10-0.26. Among the five products, MSWEP has the best consistency with the gauge observations (with a median KGE = 0.26), which is thus recommended as the preferred choice for applications among the five satellite precipitation products. However, as model forcing data, all the precipitation products showed a comparable capacity of streamflow simulations and were all able to accurately reproduce the observed streamflow records. The values of the KGE obtained from these precipitation products exceed 0.83 in the upper Yangtze River (UYA) basin and 0.84 in the upper Yellow River (UYE) basin. Thus, evaluation of precipitation products only focusing on the accuracy of streamflow simulations is less meaningful, which will mask the differences between these products. A further attribution analysis indicated that the influences of the different precipitation inputs on the streamflow simulations were largely offset by the parameter calibration, leading to significantly different evaporation and water storage estimates. Therefore, an efficient hydrological evaluation for precipitation products should focus on both streamflow simulations and the simulations of other hydrological variables, such as evaporation and soil moisture.
Keywordprecipitation datasets satellite precipitation Tibetan Plateau hydrological models remote sensing
DOI10.3390/rs10081316
WOS KeywordDISTRIBUTED HYDROLOGICAL MODEL ; ERROR PROPAGATION ; STREAMFLOW SIMULATIONS ; SENSITIVITY-ANALYSIS ; MOUNTAINOUS BASINS ; PASSIVE MICROWAVE ; WEATHER RADAR ; YANGTZE-RIVER ; ANALYSIS TMPA ; RAINFALL
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFC0401402] ; Natural Science Foundation of China[41601034] ; Natural Science Foundation of China[41330529] ; Natural Science Foundation of China[41571024]
Funding OrganizationNational Key Research and Development Program of China ; Natural Science Foundation of China
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000443618100152
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54268
Collection中国科学院地理科学与资源研究所
Corresponding AuthorBai, Peng; Liu, Xiaomang
AffiliationChinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Bai, Peng,Liu, Xiaomang. Evaluation of Five Satellite-Based Precipitation Products in Two Gauge-Scarce Basins on the Tibetan Plateau[J]. REMOTE SENSING,2018,10(8):21.
APA Bai, Peng,&Liu, Xiaomang.(2018).Evaluation of Five Satellite-Based Precipitation Products in Two Gauge-Scarce Basins on the Tibetan Plateau.REMOTE SENSING,10(8),21.
MLA Bai, Peng,et al."Evaluation of Five Satellite-Based Precipitation Products in Two Gauge-Scarce Basins on the Tibetan Plateau".REMOTE SENSING 10.8(2018):21.
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