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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4,254
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PDF: 1,066
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Views and downloads (calculated since 10 Jul 2023)
Cumulative views and downloads
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Total article views: 2,425 (including HTML, PDF, and XML)
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2,022
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HTML: 2,022
PDF: 335
XML: 68
Total: 2,425
BibTeX: 105
EndNote: 115
Views and downloads (calculated since 25 Mar 2024)
Cumulative views and downloads
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Total article views: 1,829 (including HTML, PDF, and XML)
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1,051
731
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1,829
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HTML: 1,051
PDF: 731
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Total: 1,829
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: 4,254 (including HTML, PDF, and XML)
Thereof 4,107 with geography defined
and 147 with unknown origin.
Total article views: 2,425 (including HTML, PDF, and XML)
Thereof 2,315 with geography defined
and 110 with unknown origin.
Total article views: 1,829 (including HTML, PDF, and XML)
Thereof 1,792 with geography defined
and 37 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...
