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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5,259
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PDF: 1,512
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EndNote: 216
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Cumulative views and downloads
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Total article views: 3,074 (including HTML, PDF, and XML)
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2,472
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3,074
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HTML: 2,472
PDF: 515
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Total: 3,074
BibTeX: 149
EndNote: 181
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Cumulative views and downloads
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Total article views: 2,185 (including HTML, PDF, and XML)
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1,135
997
53
2,185
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HTML: 1,135
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Total: 2,185
BibTeX: 51
EndNote: 35
Views and downloads (calculated since 10 Jul 2023)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 5,259 (including HTML, PDF, and XML)
Thereof 5,123 with geography defined
and 136 with unknown origin.
Total article views: 3,074 (including HTML, PDF, and XML)
Thereof 2,990 with geography defined
and 84 with unknown origin.
Total article views: 2,185 (including HTML, PDF, and XML)
Thereof 2,133 with geography defined
and 52 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...