Automated model optimisation using the Cylc workflow engine (Cyclops v1.0)

Gorman, Richard M.; Oliver, Hilary J.

doi:https://doi.org/10.5194/gmd-11-2153-2018

Articles | Volume 11, issue 6

https://doi.org/10.5194/gmd-11-2153-2018

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

https://doi.org/10.5194/gmd-11-2153-2018

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

Articles | Volume 11, issue 6

Methods for assessment of models

|

12 Jun 2018

Methods for assessment of models |

| 12 Jun 2018

Automated model optimisation using the Cylc workflow engine (Cyclops v1.0)

Richard M. Gorman and Hilary J. Oliver

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Final revised paper (published on 12 Jun 2018)
Preprint (discussion started on 21 Sep 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Initial Review', Jose-Henrique Alves, 26 Oct 2017
RC2: 'Review', Simon Tett, 14 Nov 2017
AC1: 'Response by first author (Richard Gorman) to comments from Reviewer #2 (Simon Tett)', Richard Gorman, 20 Nov 2017

Peer-review completion

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

AR by Richard Gorman on behalf of the Authors (01 Mar 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (15 Mar 2018) by Sophie Valcke

RR by Simon Tett (18 Apr 2018)

ED: Publish subject to minor revisions (review by editor) (26 Apr 2018) by Sophie Valcke

AR by Richard Gorman on behalf of the Authors (03 May 2018) Author's response Manuscript

ED: Publish as is (20 May 2018) by Sophie Valcke

Short summary

We describe an optimisation suite ("Cyclops") that can be used to apply a selection of nonlinear optimisation algorithms to "tune" the parameters of a geophysical model. Based on the Cylc workflow engine, Cyclops can be used to calibrate any modelling system that has itself been implemented as a (separate) Cylc model suite, provided it includes computation and output of the desired scalar cost function.