Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-387-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-387-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
17 Feb 2020
Data description article |
| 17 Feb 2020
| 17 Feb 2020
A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China
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
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Total article views: 6,242 (including HTML, PDF, and XML)
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Total article views: 1,550 (including HTML, PDF, and XML)
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Cited
13 citations as recorded by crossref.
- Impact of Reduced Fluvial Sediment Supply on Saltwater Intrusion in the Yangtze Estuary C. Zhu et al.
- Comprehensive evaluation of hydrological models for climate change impact assessment in the Upper Yangtze River Basin, China S. Wen et al.
- Spatiotemporal Analyses of High-Resolution Precipitation Ensemble Simulations in the Chinese Mainland Based on Quantile Mapping (QM) Bias Correction and Bayesian Model Averaging (BMA) Methods for CMIP6 Models H. Meng et al.
- Observation of radial velocity along the Yangtze River based on sentinel-1A Z. Yang et al.
- Future Flood Risk Assessment under the Effects of Land Use and Climate Change in the Tiaoxi Basin L. Li et al.
- Does CMIP6 inspire more confidence in projecting precipitation over China? J. Tian et al.
- Explaining the Statistical Properties of Salt Intrusion in Estuaries Using a Stochastic Dynamical Modeling Approach H. Dijkstra et al.
- Influence of climate change on hydrological process in the upper reaches of Shiyang River: A case study of the Xiying River, China D. Qiu et al.
- Evaluating statistical downscaling and bias-correction methods for climate extremes across major Chinese River basins L. Xinlong et al.
- Using Integrated Hydrological Models to Assess the Impacts of Climate Change on Discharges and Extreme Flood Events in the Upper Yangtze River Basin Y. Wu et al.
- Will the 2022 compound heatwave–drought extreme over the Yangtze River Basin become Grey Rhino in the future? A. Feng et al.
- A century-long streamflow reconstruction reveals significant streamflow increases in the upper Yangtze River basin J. Hu et al.
- Response of discharge in the Upper Yellow River Basin to changing climate over the long time period (1850–2023) Z. Chen et al.
13 citations as recorded by crossref.
- Impact of Reduced Fluvial Sediment Supply on Saltwater Intrusion in the Yangtze Estuary C. Zhu et al.
- Comprehensive evaluation of hydrological models for climate change impact assessment in the Upper Yangtze River Basin, China S. Wen et al.
- Spatiotemporal Analyses of High-Resolution Precipitation Ensemble Simulations in the Chinese Mainland Based on Quantile Mapping (QM) Bias Correction and Bayesian Model Averaging (BMA) Methods for CMIP6 Models H. Meng et al.
- Observation of radial velocity along the Yangtze River based on sentinel-1A Z. Yang et al.
- Future Flood Risk Assessment under the Effects of Land Use and Climate Change in the Tiaoxi Basin L. Li et al.
- Does CMIP6 inspire more confidence in projecting precipitation over China? J. Tian et al.
- Explaining the Statistical Properties of Salt Intrusion in Estuaries Using a Stochastic Dynamical Modeling Approach H. Dijkstra et al.
- Influence of climate change on hydrological process in the upper reaches of Shiyang River: A case study of the Xiying River, China D. Qiu et al.
- Evaluating statistical downscaling and bias-correction methods for climate extremes across major Chinese River basins L. Xinlong et al.
- Using Integrated Hydrological Models to Assess the Impacts of Climate Change on Discharges and Extreme Flood Events in the Upper Yangtze River Basin Y. Wu et al.
- Will the 2022 compound heatwave–drought extreme over the Yangtze River Basin become Grey Rhino in the future? A. Feng et al.
- A century-long streamflow reconstruction reveals significant streamflow increases in the upper Yangtze River basin J. Hu et al.
- Response of discharge in the Upper Yellow River Basin to changing climate over the long time period (1850–2023) Z. Chen et al.
Saved (final revised paper)
Latest update: 06 May 2026
Short summary
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...
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