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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9,227
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11,340
216
257
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PDF: 1,935
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EndNote: 257
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Cumulative views and downloads
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Total article views: 9,583 (including HTML, PDF, and XML)
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EndNote
8,218
1,226
139
9,583
189
232
HTML: 8,218
PDF: 1,226
XML: 139
Total: 9,583
BibTeX: 189
EndNote: 232
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Total article views: 1,757 (including HTML, PDF, and XML)
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1,009
709
39
1,757
27
25
HTML: 1,009
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XML: 39
Total: 1,757
BibTeX: 27
EndNote: 25
Views and downloads (calculated since 12 Dec 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 11,340 (including HTML, PDF, and XML)
Thereof 10,961 with geography defined
and 379 with unknown origin.
Total article views: 9,583 (including HTML, PDF, and XML)
Thereof 9,288 with geography defined
and 295 with unknown origin.
Total article views: 1,757 (including HTML, PDF, and XML)
Thereof 1,673 with geography defined
and 84 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...
