State Key Laboratory of Earth Surface Processes and Resource Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
State Key Laboratory of Earth Surface Processes and Resource Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
Jiaojiao Gou
State Key Laboratory of Earth Surface Processes and Resource Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
Haiyan Zheng
State Key Laboratory of Earth Surface Processes and Resource Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
Qi Zhang
State Key Laboratory of Earth Surface Processes and Resource Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
Xiaoying Guo
State Key Laboratory of Earth Surface Processes and Resource Ecology,
Faculty of Geographical Science, Beijing Normal University, Beijing 100875,
China
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7,858
1,493
144
9,495
176
187
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PDF: 1,493
XML: 144
Total: 9,495
BibTeX: 176
EndNote: 187
Views and downloads (calculated since 12 Dec 2022)
Cumulative views and downloads
(calculated since 12 Dec 2022)
Total article views: 7,867 (including HTML, PDF, and XML)
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Total
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EndNote
6,901
855
111
7,867
155
166
HTML: 6,901
PDF: 855
XML: 111
Total: 7,867
BibTeX: 155
EndNote: 166
Views and downloads (calculated since 25 Jul 2023)
Cumulative views and downloads
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Total article views: 1,628 (including HTML, PDF, and XML)
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957
638
33
1,628
21
21
HTML: 957
PDF: 638
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Total: 1,628
BibTeX: 21
EndNote: 21
Views and downloads (calculated since 12 Dec 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 9,495 (including HTML, PDF, and XML)
Thereof 9,137 with geography defined
and 358 with unknown origin.
Total article views: 7,867 (including HTML, PDF, and XML)
Thereof 7,592 with geography defined
and 275 with unknown origin.
Total article views: 1,628 (including HTML, PDF, and XML)
Thereof 1,545 with geography defined
and 83 with unknown origin.
Constructing a high-quality, long-term daily precipitation dataset is essential to current hydrometeorology research. This study aims to construct a long-term daily precipitation dataset with different spatial resolutions based on 2839 gauge observations. The constructed precipitation dataset shows reliable quality compared with the other available precipitation products and is expected to facilitate the advancement of drought monitoring, flood forecasting, and hydrological modeling.
Constructing a high-quality, long-term daily precipitation dataset is essential to current...