An approach to the verification of high-resolution ocean models using spatial methods

Crocker, Ric; Maksymczuk, Jan; Mittermaier, Marion; Tonani, Marina; Pequignet, Christine

doi:https://doi.org/10.5194/os-16-831-2020

Articles | Volume 16, issue 4

https://doi.org/10.5194/os-16-831-2020

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

https://doi.org/10.5194/os-16-831-2020

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

Articles | Volume 16, issue 4

Research article

|

17 Jul 2020

Research article |

| 17 Jul 2020

An approach to the verification of high-resolution ocean models using spatial methods

Ric Crocker, Jan Maksymczuk, Marion Mittermaier, Marina Tonani, and Christine Pequignet

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Final revised paper (published on 17 Jul 2020)
Preprint (discussion started on 28 Feb 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'review of "An approach to the verification of high-resolution ocean models using spatial methods"', Anonymous Referee #1, 20 Mar 2020
- AC1: 'Author response to RC1', Ric Crocker, 22 May 2020
RC2: 'Review of Crocker et al, entitled "An approach to the verification of high-resolution ocean models using spatial methods"', Anonymous Referee #2, 01 Apr 2020
- AC2: 'Response to RC2', Ric Crocker, 22 May 2020

Peer-review completion

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

AR by Ric Crocker on behalf of the Authors (28 May 2020) Author's response Manuscript

ED: Publish as is (16 Jun 2020) by Anna Rubio

AR by Ric Crocker on behalf of the Authors (19 Jun 2020)

Short summary

We assessed the potential benefit of a new verification metric, developed by the atmospheric community, to assess high-resolution ocean models against coarser-resolution configurations. Typical verification metrics often do not show any benefit when high-resolution models are compared to lower-resolution configurations. The new metric showed improvements in higher-resolution models away from the grid scale. The technique can be applied to both deterministic and ensemble forecasts.