Department of Geography & Spatial Information Techniques, Ningbo
University, Ningbo 315211, China
Buda Su
National Climate Centre, China Meteorological Administration, Beijing 100081, China
Valentina Krysanova
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Qianyu Zha
Department of Geography & Spatial Information Techniques, Ningbo
University, Ningbo 315211, China
Cai Chen
Department of Geography & Spatial Information Techniques, Ningbo
University, Ningbo 315211, China
Gang Luo
Department of Geography & Spatial Information Techniques, Ningbo
University, Ningbo 315211, China
Xiaofan Zeng
School of Hydropower and Information Engineering, Huazhong University
of Science and Technology, Wuhan 430074, China
Jinlong Huang
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Institute for Disaster Risk Management, School of
Geographical Science, Nanjing University of Information Science &
Technology, Nanjing 210044, China
Ming Xiong
Bureau of Hydrology, Changjiang River Water Resources Commission,
Wuhan 430010, China
Liping Zhang
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Institute for Disaster Risk Management, School of
Geographical Science, Nanjing University of Information Science &
Technology, Nanjing 210044, China
Viewed
Total article views: 7,025 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
5,550
1,342
133
7,025
141
173
HTML: 5,550
PDF: 1,342
XML: 133
Total: 7,025
BibTeX: 141
EndNote: 173
Views and downloads (calculated since 12 Jul 2019)
Cumulative views and downloads
(calculated since 12 Jul 2019)
Total article views: 5,517 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
4,466
934
117
5,517
118
150
HTML: 4,466
PDF: 934
XML: 117
Total: 5,517
BibTeX: 118
EndNote: 150
Views and downloads (calculated since 17 Feb 2020)
Cumulative views and downloads
(calculated since 17 Feb 2020)
Total article views: 1,508 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,084
408
16
1,508
23
23
HTML: 1,084
PDF: 408
XML: 16
Total: 1,508
BibTeX: 23
EndNote: 23
Views and downloads (calculated since 12 Jul 2019)
Cumulative views and downloads
(calculated since 12 Jul 2019)
Viewed (geographical distribution)
Total article views: 7,025 (including HTML, PDF, and XML)
Thereof 6,280 with geography defined
and 745 with unknown origin.
Total article views: 5,517 (including HTML, PDF, and XML)
Thereof 5,052 with geography defined
and 465 with unknown origin.
Total article views: 1,508 (including HTML, PDF, and XML)
Thereof 1,228 with geography defined
and 280 with unknown origin.
The study produced the daily discharge time series for the upper Yangtze River basin (Cuntan hydrological station) in the period 1861–2299 under scenarios with and without anthropogenic climate change. The daily discharge was simulated by using four hydrological models (HBV, SWAT, SWIM and VIC) driven by multiple GCM outputs. This dataset could be compared to assess changes in river discharge in the upper Yangtze River basin attributable to anthropogenic climate change.
The study produced the daily discharge time series for the upper Yangtze River basin (Cuntan...
