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Preprints
https://doi.org/10.5194/essd-2020-16
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-16
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 23 Mar 2020

Submitted as: data description paper | 23 Mar 2020

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A revised version of this preprint is currently under review for the journal ESSD.

An integration of gauge, satellite and reanalysis precipitation datasets for the largest river basin of the Tibetan Plateau

Yuanwei Wang1,3, Lei Wang1,2,3, Xiuping Li1,2, Jing Zhou1, and Zhidan Hu4 Yuanwei Wang et al.
  • 1Key Laboratory of Tibetan Environmental Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
  • 2CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, China
  • 3University of Chinese Academy of Sciences, Beijing, China
  • 4Information Center, Ministry of Water Resources, Beijing, China

Abstract. As the largest river basin of the Tibetan Plateau, the Upper Brahmaputra River Basin (also called “Yarlung Zangbo” in Chinese) has profound impacts on the water security of local and downstream inhabitants. Precipitation in the basin is mainly controlled by the Indian Summer Monsoon and Westerly, and is the key to understand the water resources available in the basin; however, due to sparse observational data constrained by a harsh environment and complex topography, there remains a lack of reliable information on basin-wide precipitation (there are only nine national meteorological stations with continuous observations). To improve the accuracy of basin-wide precipitation data, we integrate various gauge, satellite and reanalysis precipitation datasets, including GLDAS, ITP-Forcing, MERRA2, TRMM and CMA datasets, to develop a new precipitation product for the 1981–2016 period over the Upper Brahmaputra River Basin, at 3-hour and 5-km resolution. The new product has been rigorously validated at different temporal scales (e.g. extreme events, daily to monthly variability, and long-term trends) and spatial scales (point- and basin-scale) with gauge precipitation observations, showing much improved accuracies compared to previous products. An improved hydrological simulation has been achieved (low relative bias: −5.94 %; highest NSE: 0.643) with the new precipitation inputs, showing reliability and potential for multi-disciplinary studies. This new precipitation product is openly accessible at https://doi.org/10.5281/zenodo.3711155 (Wang et al., 2020) and, additionally at the National Tibetan Plateau Data Center (https://data.tpdc.ac.cn, login required).

Yuanwei Wang et al.

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Yuanwei Wang et al.

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High temporal and spatial resolution precipitation data of Upper Brahmaputra River Basin (1981-2016) Y. Wang, L. Wang, X. Li, and J. Zhou https://doi.org/10.5281/zenodo.3711155

Yuanwei Wang et al.

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Latest update: 06 Jul 2020
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Short summary
This article is to provide a better precipitation product for the largest river basin of Tibetan Plateau, the Upper Brahmaputra River Basin, suitable for use in hydrological simulations and other climate change studies. We integrate gauge, satellite and reanalysis precipitation datasets to generate a new dataset. The new product has been rigorously validated at various temporal and spatial scales with gauge precipitation observations as well as in cryosphere hydrological simulations.
This article is to provide a better precipitation product for the largest river basin of Tibetan...
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