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Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau
Liu, Xiaomang1,2; Yang, Tiantian2; Hsu, Koulin2; Liu, Changming1; Sorooshian, Soroosh2
2017-01-10
Source PublicationHYDROLOGY AND EARTH SYSTEM SCIENCES
ISSN1027-5606
Volume21Issue:1Pages:169-181
Corresponding AuthorYang, Tiantian(tiantiay@uci.edu)
AbstractOn the Tibetan Plateau, the limited ground-based rainfall information owing to a harsh environment has brought great challenges to hydrological studies. Satellite-based rainfall products, which allow for a better coverage than both radar network and rain gauges on the Tibetan Plateau, can be suitable alternatives for studies on investigating the hydrological processes and climate change. In this study, a newly developed daily satellite-based precipitation product, termed Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks - Climate Data Record (PERSIANN-CDR), is used as input for a hydrologic model to simulate streamflow in the upper Yellow and Yangtze River basins on the Tibetan Plateau. The results show that the simulated streamflows using PERSIANN-CDR precipitation and the Global Land Data Assimilation System (GLDAS) precipitation are closer to observation than that using limited gauge-based precipitation interpolation in the upper Yangtze River basin. The simulated streamflow using gauge-based precipitation are higher than the streamflow observation during the wet season. In the upper Yellow River basin, gauge-based precipitation, GLDAS precipitation, and PERSIANN-CDR precipitation have similar good performance in simulating streamflow. The evaluation of streamflow simulation capability in this study partly indicates that the PERSIANN-CDR rainfall product has good potential to be a reliable dataset and an alternative information source of a limited gauge network for conducting long-term hydrological and climate studies on the Tibetan Plateau.
DOI10.5194/hess-21-169-2017
WOS KeywordSATELLITE PRECIPITATION RETRIEVALS ; DATA ASSIMILATION SYSTEM ; GLOBAL PRECIPITATION ; CHINA ; RESOLUTION ; MODELS ; INTERPOLATION ; OPTIMIZATION ; DISCHARGE ; GAUGE
Indexed BySCI
Language英语
Funding ProjectNatural Science Foundation of China[41330529] ; Natural Science Foundation of China[41571024] ; Natural Science Foundation of China[41201034] ; program for Bingwei Excellent Talents in Institute of Geographic Sciences and Natural Resources Research, CAS[2013RC202] ; NOAA NCDC/Climate Data Record program[NA09NES440006] ; DOE[DE-IA0000018]
Funding OrganizationNatural Science Foundation of China ; program for Bingwei Excellent Talents in Institute of Geographic Sciences and Natural Resources Research, CAS ; NOAA NCDC/Climate Data Record program ; DOE
WOS Research AreaGeology ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Water Resources
WOS IDWOS:000393757400001
PublisherCOPERNICUS GESELLSCHAFT MBH
Citation statistics
Cited Times:45[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64890
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYang, Tiantian
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA USA
Recommended Citation
GB/T 7714
Liu, Xiaomang,Yang, Tiantian,Hsu, Koulin,et al. Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau[J]. HYDROLOGY AND EARTH SYSTEM SCIENCES,2017,21(1):169-181.
APA Liu, Xiaomang,Yang, Tiantian,Hsu, Koulin,Liu, Changming,&Sorooshian, Soroosh.(2017).Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau.HYDROLOGY AND EARTH SYSTEM SCIENCES,21(1),169-181.
MLA Liu, Xiaomang,et al."Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau".HYDROLOGY AND EARTH SYSTEM SCIENCES 21.1(2017):169-181.
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