Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau
- Chinese Academy of Sciences (CAS), Beijing (China). Key Lab. of Water Cycle & Related Land Surface Process, Inst. of Geographic Sciences and Natural Resources Research; Univ. of California, Irvine, CA (United States). Dept. of Civil and Environmental Engineering
- Univ. of California, Irvine, CA (United States). Dept. of Civil and Environmental Engineering
- Chinese Academy of Sciences (CAS), Beijing (China). Key Lab. of Water Cycle & Related Land Surface Process, Inst. of Geographic Sciences and Natural Resources Research
On 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. Finally, 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.
- Research Organization:
- Univ. of California, Irvine, CA (United States)
- Sponsoring Organization:
- USDOE; National Natural Science Foundation of China (NSFC)
- Grant/Contract Number:
- IA0000018
- OSTI ID:
- 1366534
- Journal Information:
- Hydrology and Earth System Sciences (Online), Vol. 21, Issue 1; ISSN 1607-7938
- Publisher:
- European Geosciences Union (EGU)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
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