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: 7,320 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
5,786
1,387
147
7,320
156
187
HTML: 5,786
PDF: 1,387
XML: 147
Total: 7,320
BibTeX: 156
EndNote: 187
Views and downloads (calculated since 12 Jul 2019)
Cumulative views and downloads
(calculated since 12 Jul 2019)
Total article views: 5,791 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
4,697
964
130
5,791
132
162
HTML: 4,697
PDF: 964
XML: 130
Total: 5,791
BibTeX: 132
EndNote: 162
Views and downloads (calculated since 17 Feb 2020)
Cumulative views and downloads
(calculated since 17 Feb 2020)
Total article views: 1,529 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,089
423
17
1,529
24
25
HTML: 1,089
PDF: 423
XML: 17
Total: 1,529
BibTeX: 24
EndNote: 25
Views and downloads (calculated since 12 Jul 2019)
Cumulative views and downloads
(calculated since 12 Jul 2019)
Viewed (geographical distribution)
Total article views: 7,320 (including HTML, PDF, and XML)
Thereof 6,568 with geography defined
and 752 with unknown origin.
Total article views: 5,791 (including HTML, PDF, and XML)
Thereof 5,318 with geography defined
and 473 with unknown origin.
Total article views: 1,529 (including HTML, PDF, and XML)
Thereof 1,250 with geography defined
and 279 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...