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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3,849
1,864
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5,871
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PDF: 1,864
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EndNote: 241
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Total article views: 3,362 (including HTML, PDF, and XML)
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2,630
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3,362
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HTML: 2,630
PDF: 629
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Total: 3,362
BibTeX: 165
EndNote: 204
Views and downloads (calculated since 25 Mar 2024)
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Total article views: 2,509 (including HTML, PDF, and XML)
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1,219
1,235
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2,509
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HTML: 1,219
PDF: 1,235
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Total: 2,509
BibTeX: 53
EndNote: 37
Views and downloads (calculated since 10 Jul 2023)
Cumulative views and downloads
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Total article views: 5,871 (including HTML, PDF, and XML)
Thereof 5,710 with geography defined
and 161 with unknown origin.
Total article views: 3,362 (including HTML, PDF, and XML)
Thereof 3,269 with geography defined
and 93 with unknown origin.
Total article views: 2,509 (including HTML, PDF, and XML)
Thereof 2,441 with geography defined
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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...
