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
Viewed
Total article views: 3,841 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,643
1,065
133
3,841
135
208
HTML: 2,643
PDF: 1,065
XML: 133
Total: 3,841
BibTeX: 135
EndNote: 208
Views and downloads (calculated since 03 Feb 2022)
Cumulative views and downloads
(calculated since 03 Feb 2022)
Total article views: 3,053 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,166
784
103
3,053
119
181
HTML: 2,166
PDF: 784
XML: 103
Total: 3,053
BibTeX: 119
EndNote: 181
Views and downloads (calculated since 09 Jun 2022)
Cumulative views and downloads
(calculated since 09 Jun 2022)
Total article views: 788 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
477
281
30
788
16
27
HTML: 477
PDF: 281
XML: 30
Total: 788
BibTeX: 16
EndNote: 27
Views and downloads (calculated since 03 Feb 2022)
Cumulative views and downloads
(calculated since 03 Feb 2022)
Viewed (geographical distribution)
Total article views: 3,841 (including HTML, PDF, and XML)
Thereof 3,687 with geography defined
and 154 with unknown origin.
Total article views: 3,053 (including HTML, PDF, and XML)
Thereof 2,948 with geography defined
and 105 with unknown origin.
Total article views: 788 (including HTML, PDF, and XML)
Thereof 739 with geography defined
and 49 with unknown origin.
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....