中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Evaluation of Remotely Sensed Precipitation and Its Performance for Streamflow Simulations in Basins of the Southeast Tibetan Plateau

文献类型:期刊论文

作者Wang, Sheng1; Liu, Suxia1; Mo, Xingguo1; Peng, Bin1; Qiu, Jianxiu1; Li, Mingxin1; Liu, Changming1; Wang, Zhonggen1; Bauer-Gottwein, Peter1
刊名JOURNAL OF HYDROMETEOROLOGY
出版日期2015
卷号16期号:6页码:794-803
关键词Physical Meteorology and Climatology Hydrology Observational techniques and algorithms Remote sensing
通讯作者Liu, SX (reprint author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, 11A Datun Rd, Beijing 100101, Peoples R China.
英文摘要Four satellite-based precipitation products [TMPA real time (T-rt), its gauge-adjusted version (T-adj), Climate Prediction Center (CPC) morphing technique (CMORPH) real time (C-rt), and its gauge-adjusted version (C-adj)] were evaluated by a gauge-based synthesis dataset. Further, these products along with the CMORPH gauge-satellite blended version (C-ga), which is virtually C-adj in precipitation ungauged regions and is controlled by gauge analysis over regions of a dense station network, were intercompared with daily streamflow predicted by the distributed vegetation interface processes (VIP) model in the Lhasa and Gongbo basins of the southeast Tibetan Plateau. Results show these satellite-based products perform better in summer than in other seasons. Relative to the gauge-based synthesis dataset, for areal precipitation of the Lhasa basin from 2007 to 2010, biases of C-rt and T-rt are -10.49% and 157.88%, respectively. Biases of C-adj and T-adj are 3.42% and 24.12%, respectively. The C-rt bias is underestimation of the volume of observed rainfall correctly detected and overestimation of the volume of falsely alarmed rainfall, while T-rt bias comes from overestimation of the volume of observed rainfall correctly detected. Simulation efficiencies of stream discharges driven by T-adj and C-adj are better than those by T-rt and C-rt, which are consistent with the accuracies of these products. With benchmarked model parameters using the gauge-based dataset, C-adj presents well for simulation, while T-adj needs parameter recalibration to achieve good skills. Compared to T-adj and C-adj, better simulation could be obtained by C-ga in precipitation-gauged regions.
研究领域[WOS]Meteorology & Atmospheric Sciences
收录类别SCI
语种英语
WOS记录号WOS:000364976300002
源URL[http://ir.ceode.ac.cn/handle/183411/38357]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Wang, Sheng
2.Liu, Suxia
3.Mo, Xingguo
4.Qiu, Jianxiu
5.Liu, Changming
6.Wang, Zhonggen] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
7.[Wang, Sheng
8.Liu, Suxia
9.Bauer-Gottwein, Peter] Sino Danish Ctr Educ & Res, Beijing, Peoples R China
10.[Wang, Sheng
推荐引用方式
GB/T 7714
Wang, Sheng,Liu, Suxia,Mo, Xingguo,et al. Evaluation of Remotely Sensed Precipitation and Its Performance for Streamflow Simulations in Basins of the Southeast Tibetan Plateau[J]. JOURNAL OF HYDROMETEOROLOGY,2015,16(6):794-803.
APA Wang, Sheng.,Liu, Suxia.,Mo, Xingguo.,Peng, Bin.,Qiu, Jianxiu.,...&Bauer-Gottwein, Peter.(2015).Evaluation of Remotely Sensed Precipitation and Its Performance for Streamflow Simulations in Basins of the Southeast Tibetan Plateau.JOURNAL OF HYDROMETEOROLOGY,16(6),794-803.
MLA Wang, Sheng,et al."Evaluation of Remotely Sensed Precipitation and Its Performance for Streamflow Simulations in Basins of the Southeast Tibetan Plateau".JOURNAL OF HYDROMETEOROLOGY 16.6(2015):794-803.

入库方式: OAI收割

来源:遥感与数字地球研究所

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