Articles | Volume 14, issue 6
https://doi.org/10.5194/essd-14-2681-2022
© 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/essd-14-2681-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
09 Jun 2022
Data description paper |
| 09 Jun 2022
| 09 Jun 2022
New gridded dataset of rainfall erosivity (1950–2020) on the Tibetan Plateau
Yueli Chen
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Xingwu Duan
CORRESPONDING AUTHOR
Institute of International Rivers and Eco-security, Yunnan University,
Kunming, 650091, China
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Wei Qi
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Ting Wei
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Jianduo Li
CMA Earth System Modeling and Prediction Centre, Beijing, 100081,
China
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Yun Xie
State Key Laboratory of Earth Surface Processes and Resources Ecology,
Faculty of Geographic Science, Beijing Normal University, Beijing, 100875,
China
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Cited
13 citations as recorded by crossref.
- Rainfall Erosivity in Peru: A New Gridded Dataset Based on GPM-IMERG and Comprehensive Assessment (2000–2020) L. Gutierrez et al. 10.3390/rs15225432
- Temporal and Spatial Variation in Rainfall Erosivity in the Rolling Hilly Region of Northeast China X. Li et al. 10.3390/agronomy13122877
- Gridded rainfall erosivity (2014–2022) in mainland China using 1 min precipitation data from densely distributed weather stations Y. Chen et al. 10.5194/essd-17-1265-2025
- Historical climate impact attribution of changes in river flow and sediment loads at selected gauging stations in the Nile basin A. Nkwasa et al. 10.1007/s10584-024-03702-9
- GloRESatE: A dataset for global rainfall erosivity derived from multi-source data S. Das et al. 10.1038/s41597-024-03756-5
- Estimation of rainfall erosivity on the Chinese Loess Plateau: A new combination of the ERA5 dataset and machine learning W. Dai et al. 10.1016/j.jhydrol.2023.129892
- A new method to quantify the impacts of human activity on soil conservation service X. Dai et al. 10.1016/j.jenvman.2024.122257
- Rainfall Erosivity Mapping for Tibetan Plateau Using High-Resolution Temporal and Spatial Precipitation Datasets for the Third Pole B. Yin et al. 10.3390/rs15225267
- Dynamic rainfall erosivity estimates derived from IMERG data R. Emberson 10.5194/hess-27-3547-2023
- Integrity-centered framework for determining protected areas boundary: An application in the China's national park X. Kang et al. 10.1016/j.ecoinf.2024.102885
- Evaluating rainfall erosivity on the Tibetan Plateau by integrating high spatiotemporal resolution gridded precipitation and gauge data B. Yin et al. 10.1016/j.scitotenv.2024.174334
- New gridded dataset of rainfall erosivity (1950–2020) on the Tibetan Plateau Y. Chen et al. 10.5194/essd-14-2681-2022
- Gridded rainfall erosivity (2014–2022) in mainland China using 1 min precipitation data from densely distributed weather stations Y. Chen et al. 10.5194/essd-17-1265-2025
11 citations as recorded by crossref.
- Rainfall Erosivity in Peru: A New Gridded Dataset Based on GPM-IMERG and Comprehensive Assessment (2000–2020) L. Gutierrez et al. 10.3390/rs15225432
- Temporal and Spatial Variation in Rainfall Erosivity in the Rolling Hilly Region of Northeast China X. Li et al. 10.3390/agronomy13122877
- Gridded rainfall erosivity (2014–2022) in mainland China using 1 min precipitation data from densely distributed weather stations Y. Chen et al. 10.5194/essd-17-1265-2025
- Historical climate impact attribution of changes in river flow and sediment loads at selected gauging stations in the Nile basin A. Nkwasa et al. 10.1007/s10584-024-03702-9
- GloRESatE: A dataset for global rainfall erosivity derived from multi-source data S. Das et al. 10.1038/s41597-024-03756-5
- Estimation of rainfall erosivity on the Chinese Loess Plateau: A new combination of the ERA5 dataset and machine learning W. Dai et al. 10.1016/j.jhydrol.2023.129892
- A new method to quantify the impacts of human activity on soil conservation service X. Dai et al. 10.1016/j.jenvman.2024.122257
- Rainfall Erosivity Mapping for Tibetan Plateau Using High-Resolution Temporal and Spatial Precipitation Datasets for the Third Pole B. Yin et al. 10.3390/rs15225267
- Dynamic rainfall erosivity estimates derived from IMERG data R. Emberson 10.5194/hess-27-3547-2023
- Integrity-centered framework for determining protected areas boundary: An application in the China's national park X. Kang et al. 10.1016/j.ecoinf.2024.102885
- Evaluating rainfall erosivity on the Tibetan Plateau by integrating high spatiotemporal resolution gridded precipitation and gauge data B. Yin et al. 10.1016/j.scitotenv.2024.174334
2 citations as recorded by crossref.
Latest update: 05 Jun 2025
Short summary
We reconstructed the first annual rainfall erosivity dataset for the Tibetan Plateau in China. The dataset covers 71 years in a 0.25° grid. The reanalysis precipitation data are employed in combination with the densely spaced in situ precipitation observations to generate the dataset. The dataset can supply fundamental data for quantifying the water erosion, and extend our knowledge of the rainfall-related hazard prediction on the Tibetan Plateau.
We reconstructed the first annual rainfall erosivity dataset for the Tibetan Plateau in China....
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