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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Cited
17 citations as recorded by crossref.
- Assessing spatiotemporal dynamics of water and land resources matching under dynamic environmental conditions in the Yellow River basin, China C. Li et al. https://doi.org/10.1016/j.jclepro.2025.146498
- Response of runoff and its components to climate change in the Manas River of the Tian Shan Mountains Z. Yang & P. Bai https://doi.org/10.1016/j.accre.2024.01.005
- Impacts of spatial-temporal rainfall structures and antecedent wetness on flood variability at the catchment scale W. Yang et al. https://doi.org/10.1016/j.jhydrol.2026.135019
- Constructing a high-precision precipitation dataset on the data-limited Qinghai-Tibet Plateau J. Zhu et al. https://doi.org/10.1016/j.agrformet.2023.109794
- Classification, heterogeneity, and evolution of snow drought in Xinjiang under climate warming H. Zhu et al. https://doi.org/10.1007/s11430-025-1964-6
- Reduced soil moisture caused by human disturbance mediates the biodiversity effects on ecosystem multifunctionality across stand ages in the temperate forests of North-Eastern China F. Zhao et al. https://doi.org/10.1016/j.gecco.2025.e03789
- Improving high-resolution soil moisture mapping in China via dense ground-based observations and multi-source data fusion Z. Yao et al. https://doi.org/10.1016/j.agwat.2026.110570
- Deep learning model for drought prediction based on large-scale spatial causal network in the Yangtze River Basin H. Dai et al. https://doi.org/10.1016/j.jhydrol.2025.132808
- Compound Spring Flood Hazards in Kazakhstan and Comparable Cold-Continental Regions: Mechanisms, Indicators, and Recovery Assessment S. Nurakynov et al. https://doi.org/10.3390/w18141717
- Dynamic Changes of Terrestrial Water Cycle Components over Central Asia in the Last Two Decades from 2003 to 2020 M. Odinaev et al. https://doi.org/10.3390/rs15133318
- Duration of the influence of snowmelt on land surface temperature and humidity after snowmelt on the Mongolian Plateau S. Zhen et al. https://doi.org/10.1016/j.scitotenv.2023.166433
- Assessments of eight ET products based on long-term multi-source water balance elements in 133 catchments across China X. Fu et al. https://doi.org/10.1016/j.jhydrol.2026.135928
- Reconstruction of global long-term daily streamflow dataset using machine learning models for revealing streamflow changes Y. Gao et al. https://doi.org/10.1016/j.ejrh.2026.103148
- ERA5-Land overestimates runoff coefficient but underestimates runoff recession rate in the central Tibetan permafrost region L. Liu et al. https://doi.org/10.1016/j.ejrh.2024.101792
- Uncertainties of three high-resolution actual evapotranspiration products across China: Comparisons and applications T. Yao et al. https://doi.org/10.1016/j.atmosres.2023.106682
- Daily station-level records of air temperature, snow depth, and ground temperature in the Northern Hemisphere V. Tran et al. https://doi.org/10.1038/s41597-024-03483-x
- 气候变暖背景下新疆雪旱的分类、异质性和演变 宏. 朱 et al. https://doi.org/10.1360/N072025-0363
17 citations as recorded by crossref.
- Assessing spatiotemporal dynamics of water and land resources matching under dynamic environmental conditions in the Yellow River basin, China C. Li et al. https://doi.org/10.1016/j.jclepro.2025.146498
- Response of runoff and its components to climate change in the Manas River of the Tian Shan Mountains Z. Yang & P. Bai https://doi.org/10.1016/j.accre.2024.01.005
- Impacts of spatial-temporal rainfall structures and antecedent wetness on flood variability at the catchment scale W. Yang et al. https://doi.org/10.1016/j.jhydrol.2026.135019
- Constructing a high-precision precipitation dataset on the data-limited Qinghai-Tibet Plateau J. Zhu et al. https://doi.org/10.1016/j.agrformet.2023.109794
- Classification, heterogeneity, and evolution of snow drought in Xinjiang under climate warming H. Zhu et al. https://doi.org/10.1007/s11430-025-1964-6
- Reduced soil moisture caused by human disturbance mediates the biodiversity effects on ecosystem multifunctionality across stand ages in the temperate forests of North-Eastern China F. Zhao et al. https://doi.org/10.1016/j.gecco.2025.e03789
- Improving high-resolution soil moisture mapping in China via dense ground-based observations and multi-source data fusion Z. Yao et al. https://doi.org/10.1016/j.agwat.2026.110570
- Deep learning model for drought prediction based on large-scale spatial causal network in the Yangtze River Basin H. Dai et al. https://doi.org/10.1016/j.jhydrol.2025.132808
- Compound Spring Flood Hazards in Kazakhstan and Comparable Cold-Continental Regions: Mechanisms, Indicators, and Recovery Assessment S. Nurakynov et al. https://doi.org/10.3390/w18141717
- Dynamic Changes of Terrestrial Water Cycle Components over Central Asia in the Last Two Decades from 2003 to 2020 M. Odinaev et al. https://doi.org/10.3390/rs15133318
- Duration of the influence of snowmelt on land surface temperature and humidity after snowmelt on the Mongolian Plateau S. Zhen et al. https://doi.org/10.1016/j.scitotenv.2023.166433
- Assessments of eight ET products based on long-term multi-source water balance elements in 133 catchments across China X. Fu et al. https://doi.org/10.1016/j.jhydrol.2026.135928
- Reconstruction of global long-term daily streamflow dataset using machine learning models for revealing streamflow changes Y. Gao et al. https://doi.org/10.1016/j.ejrh.2026.103148
- ERA5-Land overestimates runoff coefficient but underestimates runoff recession rate in the central Tibetan permafrost region L. Liu et al. https://doi.org/10.1016/j.ejrh.2024.101792
- Uncertainties of three high-resolution actual evapotranspiration products across China: Comparisons and applications T. Yao et al. https://doi.org/10.1016/j.atmosres.2023.106682
- Daily station-level records of air temperature, snow depth, and ground temperature in the Northern Hemisphere V. Tran et al. https://doi.org/10.1038/s41597-024-03483-x
- 气候变暖背景下新疆雪旱的分类、异质性和演变 宏. 朱 et al. https://doi.org/10.1360/N072025-0363
Saved (final revised paper)
Latest update: 27 Jul 2026
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...
