A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China
<p>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 (Hydrologiska Byråns, HBV; Soil and Water Assessment Tool, SWAT; Soil and Water Integrated Model,...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-02-01
|
Series: | Earth System Science Data |
Online Access: | https://www.earth-syst-sci-data.net/12/387/2020/essd-12-387-2020.pdf |
id |
doaj-3d70d184b22645fc93f56985664285c4 |
---|---|
record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
C. Gao B. Su V. Krysanova Q. Zha C. Chen G. Luo X. Zeng J. Huang M. Xiong L. Zhang T. Jiang |
spellingShingle |
C. Gao B. Su V. Krysanova Q. Zha C. Chen G. Luo X. Zeng J. Huang M. Xiong L. Zhang T. Jiang A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China Earth System Science Data |
author_facet |
C. Gao B. Su V. Krysanova Q. Zha C. Chen G. Luo X. Zeng J. Huang M. Xiong L. Zhang T. Jiang |
author_sort |
C. Gao |
title |
A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China |
title_short |
A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China |
title_full |
A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China |
title_fullStr |
A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China |
title_full_unstemmed |
A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China |
title_sort |
439-year simulated daily discharge dataset (1861–2299) for the upper yangtze river, china |
publisher |
Copernicus Publications |
series |
Earth System Science Data |
issn |
1866-3508 1866-3516 |
publishDate |
2020-02-01 |
description |
<p>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 (Hydrologiska Byråns, HBV; Soil and Water Assessment Tool, SWAT; Soil and Water Integrated Model, SWIM; and
Variable Infiltration Capacity, 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 comparatively wet period, 1967–1978, and in
the comparatively dry period, 1991–2002. A multi-objective automatic
calibration programme using a univariate search technique was applied to
find 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 (<span class="inline-formula"><i>Q</i><sub>10</sub></span>) and low flow (<span class="inline-formula"><i>Q</i><sub>90</sub></span>), were included in the objective functions of the
parameterization process. In addition, the simulated evapotranspiration
results were compared with the GLEAM evapotranspiration data for the upper
Yangtze River 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 (<span class="inline-formula"><i>r</i></span>) were used. The four hydrological
models reach satisfactory simulation results in both the calibration and
validation periods. In this study, the daily discharge is simulated for the
upper Yangtze River under the preindustrial control (piControl) scenario
without anthropogenic climate change from 1861 to 2299 and for the
historical 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 be
used in the international context and water management, e.g. in the
framework of Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) by
providing clues to what extent human-induced climate change could impact
streamflow and streamflow trend in the future. The datasets are available at:
<a href="https://doi.org/10.4121/uuid:8658b22a-8f98-4043-9f8f-d77684d58cbc">https://doi.org/10.4121/uuid:8658b22a-8f98-4043-9f8f-d77684d58cbc</a> (Gao et
al., 2019).</p> |
url |
https://www.earth-syst-sci-data.net/12/387/2020/essd-12-387-2020.pdf |
work_keys_str_mv |
AT cgao a439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT bsu a439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT vkrysanova a439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT qzha a439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT cchen a439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT gluo a439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT xzeng a439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT jhuang a439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT mxiong a439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT lzhang a439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT tjiang a439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT cgao 439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT bsu 439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT vkrysanova 439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT qzha 439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT cchen 439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT gluo 439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT xzeng 439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT jhuang 439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT mxiong 439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT lzhang 439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina AT tjiang 439yearsimulateddailydischargedataset18612299fortheupperyangtzeriverchina |
_version_ |
1724678569702981632 |
spelling |
doaj-3d70d184b22645fc93f56985664285c42020-11-25T03:05:26ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162020-02-011238740210.5194/essd-12-387-2020A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, ChinaC. Gao0B. Su1V. Krysanova2Q. Zha3C. Chen4G. Luo5X. Zeng6J. Huang7M. Xiong8L. Zhang9T. Jiang10Department of Geography & Spatial Information Techniques, Ningbo University, Ningbo 315211, ChinaNational Climate Centre, China Meteorological Administration, Beijing 100081, ChinaPotsdam Institute for Climate Impact Research, Potsdam, GermanyDepartment of Geography & Spatial Information Techniques, Ningbo University, Ningbo 315211, ChinaDepartment of Geography & Spatial Information Techniques, Ningbo University, Ningbo 315211, ChinaDepartment of Geography & Spatial Information Techniques, Ningbo University, Ningbo 315211, ChinaSchool of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaCollaborative 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, ChinaBureau of Hydrology, Changjiang River Water Resources Commission, Wuhan 430010, ChinaState Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, ChinaCollaborative 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<p>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 (Hydrologiska Byråns, HBV; Soil and Water Assessment Tool, SWAT; Soil and Water Integrated Model, SWIM; and Variable Infiltration Capacity, 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 comparatively wet period, 1967–1978, and in the comparatively dry period, 1991–2002. A multi-objective automatic calibration programme using a univariate search technique was applied to find 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 (<span class="inline-formula"><i>Q</i><sub>10</sub></span>) and low flow (<span class="inline-formula"><i>Q</i><sub>90</sub></span>), were included in the objective functions of the parameterization process. In addition, the simulated evapotranspiration results were compared with the GLEAM evapotranspiration data for the upper Yangtze River 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 (<span class="inline-formula"><i>r</i></span>) were used. The four hydrological models reach satisfactory simulation results in both the calibration and validation periods. In this study, the daily discharge is simulated for the upper Yangtze River under the preindustrial control (piControl) scenario without anthropogenic climate change from 1861 to 2299 and for the historical 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 be used in the international context and water management, e.g. in the framework of Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) by providing clues to what extent human-induced climate change could impact streamflow and streamflow trend in the future. The datasets are available at: <a href="https://doi.org/10.4121/uuid:8658b22a-8f98-4043-9f8f-d77684d58cbc">https://doi.org/10.4121/uuid:8658b22a-8f98-4043-9f8f-d77684d58cbc</a> (Gao et al., 2019).</p>https://www.earth-syst-sci-data.net/12/387/2020/essd-12-387-2020.pdf |