Articles | Volume 22, issue 7
https://doi.org/10.5194/hess-22-3739-2018
© Author(s) 2018. 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-22-3739-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jul 2018
Research article |
| 16 Jul 2018
| 16 Jul 2018
Transferability of climate simulation uncertainty to 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
Alex J. Cannon
Climate Research Division, Environment and Climate Change Canada,
Victoria BC, Canada
Chong-Yu Xu
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, 430072, China
Department of Geosciences, University of Oslo, Oslo, Norway
Hua Chen
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan, 430072, China
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25 citations as recorded by crossref.
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- Evaluation of methods for selecting climate models to simulate future hydrological change A. Ross & R. Najjar 10.1007/s10584-019-02512-8
- Quantitative assessment of adaptive measures on optimal water resources allocation by using reliability, resilience, vulnerability indicators H. Zou et al. 10.1007/s00477-019-01753-4
- A Framework to Quantify the Uncertainty Contribution of GCMs Over Multiple Sources in Hydrological Impacts of Climate Change H. Wang et al. 10.1029/2020EF001602
- NAC2H: The North American Climate Change and Hydroclimatology Data Set R. Arsenault et al. 10.1029/2020WR027097
- Impacts of climate change on global meteorological multi-year droughts using the last millennium simulation as a baseline G. Wu et al. 10.1016/j.jhydrol.2022.127937
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- Synthetic Impacts of Internal Climate Variability and Anthropogenic Change on Future Meteorological Droughts over China L. Gu et al. 10.3390/w10111702
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- Development of clustered polynomial chaos expansion model for stochastic hydrological prediction F. Wang et al. 10.1016/j.jhydrol.2021.126022
- Evaluation and Bias Correction of S2S Precipitation for Hydrological Extremes W. Li et al. 10.1175/JHM-D-19-0042.1
- Effectiveness of using representative subsets of global climate models in future crop yield projections B. Qian et al. 10.1038/s41598-021-99378-7
- Climate Change Impact Studies: Should We Bias Correct Climate Model Outputs or Post‐Process Impact Model Outputs? J. Chen et al. 10.1029/2020WR028638
- Process informed selection of climate models for climate change impact assessment in the Western Coast of India J. George & P. Athira 10.1007/s00704-022-04197-z
- Temporal and spatial transferabilities of hydrological models under different climates and underlying surface conditions W. Yang et al. 10.1016/j.jhydrol.2020.125276
- The impact of calibration conditions on the transferability of conceptual hydrological models under stationary and nonstationary climatic conditions W. Yang et al. 10.1016/j.jhydrol.2022.128310
25 citations as recorded by crossref.
- Larger Drought and Flood Hazards and Adverse Impacts on Population and Economic Productivity Under 2.0 than 1.5°C Warming R. Zhai et al. 10.1029/2019EF001398
- Africa Would Need to Import More Maize in the Future Even Under 1.5°C Warming Scenario R. Zhai et al. 10.1029/2020EF001574
- Evaluation of Sub-Selection Methods for Assessing Climate Change Impacts on Low-Flow and Hydrological Drought Conditions S. Golian & C. Murphy 10.1007/s11269-020-02714-1
- Using ensemble-mean climate scenarios for future crop yield projections: a stochastic weather generator approach D. Ma et al. 10.3354/cr01646
- Uncertainty in Projection of Climate Extremes: A Comparison of CMIP5 and CMIP6 S. Zhang & J. Chen 10.1007/s13351-021-1012-3
- Can Satellite and Atmospheric Reanalysis Products Capture Compound Moist Heat Stress-Floods? L. Gu et al. 10.3390/rs14184611
- Projected increases in magnitude and socioeconomic exposure of global droughts in 1.5 and 2 °C warmer climates L. Gu et al. 10.5194/hess-24-451-2020
- Bias nonstationarity of global climate model outputs: The role of internal climate variability and climate model sensitivity Y. Hui et al. 10.1002/joc.5950
- Future water security in the major basins of China under the 1.5 °C and 2.0 °C global warming scenarios R. Zhai et al. 10.1016/j.scitotenv.2022.157928
- Evaluation of methods for selecting climate models to simulate future hydrological change A. Ross & R. Najjar 10.1007/s10584-019-02512-8
- Quantitative assessment of adaptive measures on optimal water resources allocation by using reliability, resilience, vulnerability indicators H. Zou et al. 10.1007/s00477-019-01753-4
- A Framework to Quantify the Uncertainty Contribution of GCMs Over Multiple Sources in Hydrological Impacts of Climate Change H. Wang et al. 10.1029/2020EF001602
- NAC2H: The North American Climate Change and Hydroclimatology Data Set R. Arsenault et al. 10.1029/2020WR027097
- Impacts of climate change on global meteorological multi-year droughts using the last millennium simulation as a baseline G. Wu et al. 10.1016/j.jhydrol.2022.127937
- Does the weighting of climate simulations result in a better quantification of hydrological impacts? H. Wang et al. 10.5194/hess-23-4033-2019
- Synthetic Impacts of Internal Climate Variability and Anthropogenic Change on Future Meteorological Droughts over China L. Gu et al. 10.3390/w10111702
- Parameter Uncertainty of a Snowmelt Runoff Model and Its Impact on Future Projections of Snowmelt Runoff in a Data-Scarce Deglaciating River Basin Y. Xiang et al. 10.3390/w11112417
- The BEAP Teleconnection and Its Relationship With ENSO in CMIP6: Present and Future Projections S. Gui & R. Yang 10.1029/2022JD037073
- Development of clustered polynomial chaos expansion model for stochastic hydrological prediction F. Wang et al. 10.1016/j.jhydrol.2021.126022
- Evaluation and Bias Correction of S2S Precipitation for Hydrological Extremes W. Li et al. 10.1175/JHM-D-19-0042.1
- Effectiveness of using representative subsets of global climate models in future crop yield projections B. Qian et al. 10.1038/s41598-021-99378-7
- Climate Change Impact Studies: Should We Bias Correct Climate Model Outputs or Post‐Process Impact Model Outputs? J. Chen et al. 10.1029/2020WR028638
- Process informed selection of climate models for climate change impact assessment in the Western Coast of India J. George & P. Athira 10.1007/s00704-022-04197-z
- Temporal and spatial transferabilities of hydrological models under different climates and underlying surface conditions W. Yang et al. 10.1016/j.jhydrol.2020.125276
- The impact of calibration conditions on the transferability of conceptual hydrological models under stationary and nonstationary climatic conditions W. Yang et al. 10.1016/j.jhydrol.2022.128310
Latest update: 02 Nov 2024
Short summary
Facing a growing number of climate models, many selection methods were proposed to select subsets in the field of climate simulation, but the transferability of their performances to hydrological impacts remains doubtful. We investigate the transferability of climate simulation uncertainty to hydrological impacts using two selection methods, and conclude that envelope-based selection of about 10 climate simulations based on properly chosen climate variables is suggested for impact studies.
Facing a growing number of climate models, many selection methods were proposed to select...
