A simple tool for refining GCM water availability projections, applied to Chinese catchments

Osborne, Joe M.; Lambert, F. Hugo

doi:https://doi.org/10.5194/hess-22-6043-2018

Articles | Volume 22, issue 11

https://doi.org/10.5194/hess-22-6043-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-22-6043-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 11

Research article

|

27 Nov 2018

Research article |

| 27 Nov 2018

A simple tool for refining GCM water availability projections, applied to Chinese catchments

Joe M. Osborne and F. Hugo Lambert

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Final revised paper (published on 27 Nov 2018)
Supplement to the final revised paper
Preprint (discussion started on 27 Apr 2018)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Major revision', Anonymous Referee #1, 28 May 2018
- AC2: 'Reply to Reviewer 1', Joe Osborne, 20 Jul 2018
RC2: 'Review of "A simple tool for refining GCM water availability projections, applied to Chinese catchments"', Anonymous Referee #2, 29 May 2018
- AC1: 'Reply to Reviewer 2', Joe Osborne, 20 Jul 2018

Peer-review completion

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

ED: Reconsider after major revisions (further review by editor and referees) (13 Aug 2018) by Luis Samaniego

AR by Joe Osborne on behalf of the Authors (25 Sep 2018) Author's response Manuscript

ED: Publish subject to revisions (further review by editor and referees) (16 Oct 2018) by Luis Samaniego

AR by Joe Osborne on behalf of the Authors (16 Oct 2018) Author's response Manuscript

ED: Publish as is (01 Nov 2018) by Luis Samaniego

AR by Joe Osborne on behalf of the Authors (02 Nov 2018) Author's response Manuscript

Short summary

We want to estimate how much water will be available in a river basin (runoff) at the end of the 21st century. Climate models alone are considered unsuitable for this task due to biases in representing the present-day climate. We show that the output from these models can be corrected using a simple mathematical framework. This approach narrows the range of future runoff projections for the Yellow river in China by 34 %. It serves as a quick tool for updating projections from climate models.