文章基本信息

标题：A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China
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作者：Gao, Chao ; Su, Buda ; Krysanova, Valentina 等
期刊名称：Earth System Science Data Discussions
电子版ISSN：1866-3591
出版年度：2020
卷号：12
期号：1
页码：387-402
DOI：10.5194/essd-12-387-2020
语种：English
出版社：Copernicus Publications
摘要：The outputs of four global climate models (GFDL-ESM2M, HadGEM2-ES,IPSL-CM5A-LR and MIROC5), which were statistically downscaled and biascorrected, were used to drive four hydrological models (Hydrologiska Byråns, HBV; Soil and Water Assessment Tool, SWAT; Soil and Water Integrated Model, SWIM; andVariable Infiltration Capacity, VIC) to simulate the daily discharge at the Cuntan hydrological station inthe upper Yangtze River from 1861 to 2299. As the performances ofhydrological models in various climate conditions could be different, themodels were first calibrated in the period from 1979 to 1990. Then, themodels were validated in the comparatively wet period, 1967–1978, and inthe comparatively dry period, 1991–2002. A multi-objective automaticcalibration programme using a univariate search technique was applied tofind the optimal parameter set 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 theparameterization process. In addition, the simulated evapotranspirationresults were compared with the GLEAM evapotranspiration data for the upperYangtze River basin. For evaluating the performances of the hydrologicalmodels, the NSE, modified Kling–Gupta efficiency (KGE), ratio of the root-mean-square error to the standard deviation of the measured data (RSR) andPearson's correlation coefficient (r) were used. The four hydrologicalmodels reach satisfactory simulation results in both the calibration andvalidation periods. In this study, the daily discharge is simulated for theupper Yangtze River under the preindustrial control (piControl) scenariowithout anthropogenic climate change from 1861 to 2299 and for thehistorical period 1861–2005 and for 2006 to 2299 under the RCP2.6, RCP4.5,RCP6.0 and RCP8.5 scenarios. The long-term daily discharge dataset can beused in the international context and water management, e.g. in theframework of Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) byproviding clues to what extent human-induced climate change could impactstreamflow and streamflow trend in the future. The datasets are available at:https://doi.org/10.4121/uuid:8658b22a-8f98-4043-9f8f-d77684d58cbc (Gao etal., 2019).