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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8,021
1,524
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9,690
179
194
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PDF: 1,524
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Total: 9,690
BibTeX: 179
EndNote: 194
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Cumulative views and downloads
(calculated since 12 Dec 2022)
Total article views: 8,048 (including HTML, PDF, and XML)
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7,059
877
112
8,048
158
173
HTML: 7,059
PDF: 877
XML: 112
Total: 8,048
BibTeX: 158
EndNote: 173
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Total article views: 1,642 (including HTML, PDF, and XML)
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962
647
33
1,642
21
21
HTML: 962
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Total: 1,642
BibTeX: 21
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Views and downloads (calculated since 12 Dec 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 9,690 (including HTML, PDF, and XML)
Thereof 9,353 with geography defined
and 337 with unknown origin.
Total article views: 8,048 (including HTML, PDF, and XML)
Thereof 7,791 with geography defined
and 257 with unknown origin.
Total article views: 1,642 (including HTML, PDF, and XML)
Thereof 1,562 with geography defined
and 80 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...
