Assessment of extreme flows and uncertainty under  climate change: disentangling the uncertainty contribution of  representative concentration pathways, global  climate models and internal climate variability

Gao, Chao; Booij, Martijn J.; Xu, Yue-Ping

doi:https://doi.org/10.5194/hess-24-3251-2020

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.

https://doi.org/10.5194/hess-24-3251-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 6

Research article

|

23 Jun 2020

Research article |

| 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

Chao Gao, Martijn J. Booij, and Yue-Ping Xu

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Final revised paper (published on 23 Jun 2020)
Supplement to the final revised paper
Preprint (discussion started on 14 Feb 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Interactive comment on “Assessment of extreme flows and uncertainty under climate change: disentangling the contribution of RCPs, GCMs and internal climate variability” by Chao Gao et al.', Anonymous Referee #1, 04 Mar 2020
- AC1: 'Response to RC1', Chao Gao, 29 Apr 2020
RC2: 'Review comments', Anonymous Referee #2, 12 Mar 2020
- AC2: 'Response to RC2', Chao Gao, 29 Apr 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (further review by editor) (03 May 2020) by Xing Yuan

AR by Chao Gao on behalf of the Authors (04 May 2020) Author's response Manuscript

ED: Publish as is (08 May 2020) by Xing Yuan

AR by Chao Gao on behalf of the Authors (10 May 2020) Author's response Manuscript

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.