A multi-objective ensemble approach to hydrological modelling in the UK: an application to historic drought reconstruction

Smith, Katie A.; Barker, Lucy J.; Tanguy, Maliko; Parry, Simon; Harrigan, Shaun; Legg, Tim P.; Prudhomme, Christel; Hannaford, Jamie

doi:https://doi.org/10.5194/hess-23-3247-2019

Articles | Volume 23, issue 8

https://doi.org/10.5194/hess-23-3247-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-23-3247-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 8

Research article

|

08 Aug 2019

Research article |

| 08 Aug 2019

A multi-objective ensemble approach to hydrological modelling in the UK: an application to historic drought reconstruction

Katie A. Smith, Lucy J. Barker, Maliko Tanguy, Simon Parry, Shaun Harrigan, Tim P. Legg, Christel Prudhomme, and Jamie Hannaford

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Final revised paper (published on 08 Aug 2019)
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Preprint (discussion started on 15 Jan 2019)
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Interactive discussion

Status: closed

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

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RC1: 'Excellent manuscript in need of only minor edits', Anonymous Referee #1, 06 Mar 2019
- AC1: 'Author response to reviewer 1', Katie Smith, 29 Apr 2019
RC2: 'Reviewer 2: Contribution needs to be better motivated', Anonymous Referee #2, 10 Mar 2019
- AC2: 'Author response to reviewer 2', Katie Smith, 29 Apr 2019
RC3: 'Reconsider after revisions', James Stagge, 22 Mar 2019
- AC3: 'Author response to reviewer 3', Katie Smith, 29 Apr 2019

Peer-review completion

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

ED: Publish subject to revisions (further review by editor and referees) (05 May 2019) by Nunzio Romano

AR by Katie Smith on behalf of the Authors (28 Jun 2019) Author's response Manuscript

ED: Publish as is (05 Jul 2019) by Nunzio Romano

Short summary

This paper describes the multi-objective calibration approach used to create a consistent dataset of reconstructed daily river flow data for 303 catchments in the UK over 1891–2015. The modelled data perform well when compared to observations, including in the timing and the classification of drought events. This method and data will allow for long-term studies of flow trends and past extreme events that have not been previously possible, enabling water managers to better plan for the future.