Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-3251-2020
© Author(s) 2020. 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-24-3251-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Jun 2020
Research article |
| 23 Jun 2020
| 23 Jun 2020
Assessment of extreme flows and uncertainty under climate change: disentangling the uncertainty contribution of representative concentration pathways, global climate models and internal climate variability
Institute of Hydrology and Water Resources, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, 310058, China
Department of Water Engineering and Management, Faculty of Engineering
Technology, University of Twente, Enschede, 7500 AE, the Netherlands
Martijn J. Booij
Department of Water Engineering and Management, Faculty of Engineering
Technology, University of Twente, Enschede, 7500 AE, the Netherlands
Institute of Hydrology and Water Resources, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, 310058, China
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Latest update: 13 Nov 2024
Short summary
This paper studies the impact of climate change on high and low flows and quantifies the contribution of uncertainty sources from representative concentration pathways (RCPs), global climate models (GCMs) and internal climate variability in extreme flows. Internal climate variability was reflected in a stochastic rainfall model. The results show the importance of internal climate variability and GCM uncertainty in high flows and GCM and RCP uncertainty in low flows especially for the far future.
This paper studies the impact of climate change on high and low flows and quantifies the...
