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Discussion papers
https://doi.org/10.5194/essd-2019-89
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-89
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 12 Jul 2019

Submitted as: data description paper | 12 Jul 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

A 439-year daily discharge dataset (1861–2299) for the upper Yangtze River, China

Chao Gao1, Buda Su2, Valentina Krysanova3, Qianyu Zha1, Cai Chen1, Gang Luo1, Xiaofan Zeng4, Jinlong Huang5, Min Xiong6, Liping Zhang7, and Tong Jiang5 Chao Gao et al.
  • 1Department of Geography & Spatial Information Techniques, Ningbo University, Ningbo, 315211, China
  • 2National Climate Centre, China Meteorological Administration, Beijing 100081, China
  • 3Potsdam Institute for Climate Impact Research, Potsdam, Germany
  • 4School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
  • 5Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Institute for Disaster Risk Management (iDRM), School of Geographical Science, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 6Bureau of Hydrology, Changjiang River Water Resources Commission, Wuhan, 430010, China
  • 7State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China

Abstract. The outputs of four Global Climate Models (GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR and MIROC5), which were statistically downscaled and bias corrected, were used to drive four hydrological models (HBV, SWAT, SWIM and VIC) to simulate the daily discharge at the Cuntan hydrological station in the upper Yangtze River from 1861 to 2299. As the performances of hydrological models in various climate conditions could be different, the models were first calibrated in the period from 1979 to 1990. Then, the models were validated in the wet period, 1967–1978, and in the dry period, 1991–2002. A multi-objective automatic calibration programme using a univariate search technique was applied to find the optimal parameter sets for each of the four hydrological models. The Nash-Sutcliffe efficiency (NSE) of daily discharge and the weighted least squares function (WLS) of extreme discharge events, represented by high flow (Q10) and low flow (Q90), were included in the objective functions of the parameterization process. In addition, the simulated evapotranspiration results were compared with evapotranspiration data from the GLEAM project for the upper Yangtze basin. For evaluating the performances of the hydrological models, the NSE, modified Kling-Gupta efficiency (KGE), ratio of the root mean square error to the standard deviation of the measured data (RSR) and Pearson's correlation coefficient (r) were used. The four hydrological models showed good performance in the calibration and validation periods. In this study, the daily runoff was simulated for the upper Yangtze River under the preindustrial control (piControl) scenario without anthropogenic climate change, from 1861–2299, for the historical period 1861–2005, and under the RCP2.6, RCP4.5, RCP6.0 and RCP8.5 scenarios in the period from 2006 to 2299. The long-term daily discharge datasets for the upper Yangtze River provide streamflow trends in the future and clues regarding to what extent human-induced climate change could impact streamflow. The datasets are available at the https://doi.org/10.4121/uuid:8658b22a-8f98-4043-9f8f-d77684d58cbc website.

Chao Gao et al.
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A 439-year daily discharge dataset (1861 - 2299) for the upper Yangtze River, China C. Gao, B. Su, T. Jiang, Q. Zha, C. Chen, G. Luo, J. Huang, V. Krysanova, M. Xiong, X. Zeng, and L. Zhang https://doi.org/10.4121/uuid:8658b22a-8f98-4043-9f8f-d77684d58cbc

Chao Gao et al.
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Short summary
The study produced the daily discharge time series for the upper Yangtze (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 GCMs outputs. This dataset could be compared to assess changes in river discharge in the upper Yangtze attributable to anthropogenic climate change.
The study produced the daily discharge time series for the upper Yangtze (Cuntan hydrological...
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