Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-169-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-21-169-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau
Xiaomang Liu
Key Laboratory of Water Cycle & Related Land Surface Process, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101 Beijing, China
Department of Civil and Environmental Engineering, University of California, Irvine, California, USA
Tiantian Yang
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, University of California, Irvine, California, USA
Koulin Hsu
Department of Civil and Environmental Engineering, University of California, Irvine, California, USA
Changming Liu
Key Laboratory of Water Cycle & Related Land Surface Process, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101 Beijing, China
Soroosh Sorooshian
Department of Civil and Environmental Engineering, University of California, Irvine, California, USA
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4 citations as recorded by crossref.
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Latest update: 14 Dec 2024
Short summary
A long-term, global, high-resolution, satellite-based precipitation estimation database (PERSIANN-CDR) was recently released. We evaluate the streamflow simulation capability of PERSIANN-CDR over two major river basins on the Tibetan Plateau. Results show that PERSIANN-CDR is a good alternative for a sparse gauge network and has the potentials for future hydrological and climate studies. The streamflow uncertainties are due to the hydrological model parameters and the length of calibration data.
A long-term, global, high-resolution, satellite-based precipitation estimation database...
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