Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China
Siyu Cai
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China
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4,387
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PDF: 1,111
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Total: 4,387
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EndNote: 160
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Total article views: 2,538 (including HTML, PDF, and XML)
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2,103
365
70
2,538
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HTML: 2,103
PDF: 365
XML: 70
Total: 2,538
BibTeX: 108
EndNote: 128
Views and downloads (calculated since 25 Mar 2024)
Cumulative views and downloads
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Total article views: 1,849 (including HTML, PDF, and XML)
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1,056
746
47
1,849
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HTML: 1,056
PDF: 746
XML: 47
Total: 1,849
BibTeX: 43
EndNote: 32
Views and downloads (calculated since 10 Jul 2023)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 4,387 (including HTML, PDF, and XML)
Thereof 4,245 with geography defined
and 142 with unknown origin.
Total article views: 2,538 (including HTML, PDF, and XML)
Thereof 2,425 with geography defined
and 113 with unknown origin.
Total article views: 1,849 (including HTML, PDF, and XML)
Thereof 1,820 with geography defined
and 29 with unknown origin.
Large-sample hydrology (LSH) datasets have been the backbone of hydrological model parameter estimation and data-driven machine learning models for hydrological processes. This study complements existing LSH studies by creating a dataset with improved sample coverage, uncertainty estimates, and dynamic descriptions of human activities, which are all crucial to hydrological understanding and modeling.
Large-sample hydrology (LSH) datasets have been the backbone of hydrological model parameter...