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
Viewed
Total article views: 4,350 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
3,132
1,101
117
4,350
150
156
HTML: 3,132
PDF: 1,101
XML: 117
Total: 4,350
BibTeX: 150
EndNote: 156
Views and downloads (calculated since 10 Jul 2023)
Cumulative views and downloads
(calculated since 10 Jul 2023)
Total article views: 2,507 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,080
357
70
2,507
107
124
HTML: 2,080
PDF: 357
XML: 70
Total: 2,507
BibTeX: 107
EndNote: 124
Views and downloads (calculated since 25 Mar 2024)
Cumulative views and downloads
(calculated since 25 Mar 2024)
Total article views: 1,843 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,052
744
47
1,843
43
32
HTML: 1,052
PDF: 744
XML: 47
Total: 1,843
BibTeX: 43
EndNote: 32
Views and downloads (calculated since 10 Jul 2023)
Cumulative views and downloads
(calculated since 10 Jul 2023)
Viewed (geographical distribution)
Total article views: 4,350 (including HTML, PDF, and XML)
Thereof 4,204 with geography defined
and 146 with unknown origin.
Total article views: 2,507 (including HTML, PDF, and XML)
Thereof 2,396 with geography defined
and 111 with unknown origin.
Total article views: 1,843 (including HTML, PDF, and XML)
Thereof 1,808 with geography defined
and 35 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...
