Articles | Volume 23, issue 10
https://doi.org/10.5194/hess-23-4033-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-4033-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Does the weighting of climate simulations result in a better quantification of hydrological impacts?
Hui-Min Wang
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, 430072, China
Jie Chen
CORRESPONDING AUTHOR
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, 430072, China
Chong-Yu Xu
Department of Geosciences, University of Oslo, Oslo, Norway
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, 430072, China
Hua Chen
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, 430072, China
Shenglian Guo
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, 430072, China
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, 430072, China
Xiangquan Li
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, 430072, China
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- Hydrological assessment of the Tungabhadra River Basin based on CMIP6 GCMs and multiple hydrological models G. Rudraswamy et al. 10.2166/wcc.2023.272
- The effect of weighting hydrological projections based on the robustness of hydrological models under a changing climate E. Pastén-Zapata et al. 10.1016/j.ejrh.2022.101113
- Implementation of a watershed modelling framework to support adaptive management in the Canadian side of the Lake Erie basin A. Neumann et al. 10.1016/j.ecoinf.2021.101444
- Robustness of CMIP6 Historical Global Mean Temperature Simulations: Trends, Long‐Term Persistence, Autocorrelation, and Distributional Shape S. Papalexiou et al. 10.1029/2020EF001667
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Latest update: 14 Dec 2024
Short summary
When using large ensembles of global climate models in hydrological impact studies, there are pragmatic questions on whether it is necessary to weight climate models and how to weight them. We use eight methods to weight climate models straightforwardly, based on their performances in hydrological simulations, and investigate the influences of the assigned weights. This study concludes that using bias correction and equal weighting is likely viable and sufficient for hydrological impact studies.
When using large ensembles of global climate models in hydrological impact studies, there are...