Articles | Volume 26, issue 24
https://doi.org/10.5194/hess-26-6427-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-6427-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Dec 2022
Research article |
| 21 Dec 2022
| 21 Dec 2022
Long-term reconstruction of satellite-based precipitation, soil moisture, and snow water equivalent in China
Wencong Yang
Department of Hydraulic Engineering, Tsinghua University, Beijing
100084, China
State Key Laboratory of Hydroscience and Engineering, Tsinghua
University, Beijing 100084, China
Department of Hydraulic Engineering, Tsinghua University, Beijing
100084, China
State Key Laboratory of Hydroscience and Engineering, Tsinghua
University, Beijing 100084, China
Changming Li
Department of Hydraulic Engineering, Tsinghua University, Beijing
100084, China
State Key Laboratory of Hydroscience and Engineering, Tsinghua
University, Beijing 100084, China
Taihua Wang
Department of Hydraulic Engineering, Tsinghua University, Beijing
100084, China
State Key Laboratory of Hydroscience and Engineering, Tsinghua
University, Beijing 100084, China
Ziwei Liu
Department of Hydraulic Engineering, Tsinghua University, Beijing
100084, China
State Key Laboratory of Hydroscience and Engineering, Tsinghua
University, Beijing 100084, China
Qingfang Hu
State Key Laboratory of Hydrology-Water Resources and Hydraulic
Engineering & Science, Nanjing Hydraulic Research Institute, Nanjing
210029, China
Dawen Yang
Department of Hydraulic Engineering, Tsinghua University, Beijing
100084, China
State Key Laboratory of Hydroscience and Engineering, Tsinghua
University, Beijing 100084, China
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Short summary
We produced a daily 0.1° dataset of precipitation, soil moisture, and snow water equivalent in 1981–2017 across China via reconstructions. The dataset used global background data and local on-site data as forcing input and satellite-based data as reconstruction benchmarks. This long-term high-resolution national hydrological dataset is valuable for national investigations of hydrological processes.
We produced a daily 0.1° dataset of precipitation, soil moisture, and snow water equivalent in...
