Verification of the mixed layer depth in the OceanMAPS operational forecast model for Austral autumn

Boettger, Daniel; Robertson, Robin; Brassington, Gary B.

doi:https://doi.org/10.5194/gmd-11-3795-2018

Articles | Volume 11, issue 9

https://doi.org/10.5194/gmd-11-3795-2018

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

https://doi.org/10.5194/gmd-11-3795-2018

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

Articles | Volume 11, issue 9

Model evaluation paper

|

24 Sep 2018

Model evaluation paper |

| 24 Sep 2018

Verification of the mixed layer depth in the OceanMAPS operational forecast model for Austral autumn

Daniel Boettger, Robin Robertson, and Gary B. Brassington

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Final revised paper (published on 24 Sep 2018)
Preprint (discussion started on 17 Apr 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of Verification of the mixed layer depth in the OceanMAPS operational forecast model', Anonymous Referee #1, 01 Jun 2018
- AC1: 'Response to Reviewer 1', Daniel Boettger, 18 Jul 2018
RC2: 'RC2 : Verification of the mixed layer depth in the OceanMAPS operational forecast model', Anonymous Referee #2, 16 Jun 2018
- AC2: 'Response to Reviewer 2', Daniel Boettger, 18 Jul 2018

Peer-review completion

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

AR by Daniel Boettger on behalf of the Authors (18 Jul 2018) Author's response Manuscript

ED: Publish as is (03 Sep 2018) by Claire Levy

AR by Daniel Boettger on behalf of the Authors (10 Sep 2018)

Short summary

This study focuses on the impact of the model vertical mixing parameterisation on the representation of the mixed layer depth (MLD) in ocean forecast models. We compare data from two recent versions of the OceanMAPS forecast system, and find that while there were large improvements in the later version of the model, the skill of each parameterisation varies with spatial location.