Impact of the ice thickness distribution discretization on the sea ice concentration variability in the NEMO3.6–LIM3  global ocean–sea ice model

Moreno-Chamarro, Eduardo; Ortega, Pablo; Massonnet, François

doi:https://doi.org/10.5194/gmd-13-4773-2020

Articles | Volume 13, issue 10

https://doi.org/10.5194/gmd-13-4773-2020

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

Special issue:

Nucleus for European Modelling of the Ocean - NEMO

https://doi.org/10.5194/gmd-13-4773-2020

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

Articles | Volume 13, issue 10

Model evaluation paper

|

05 Oct 2020

Model evaluation paper |

| 05 Oct 2020

Impact of the ice thickness distribution discretization on the sea ice concentration variability in the NEMO3.6–LIM3 global ocean–sea ice model

Eduardo Moreno-Chamarro, Pablo Ortega, and François Massonnet

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Final revised paper (published on 05 Oct 2020)
Supplement to the final revised paper
Preprint (discussion started on 12 Dec 2019)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'A review of Moreno-Chamarro et al. (2020)', Anonymous Referee #1, 23 Dec 2019
- AC1: 'Responses to Reviewer 1', Eduardo Moreno-Chamarro, 28 May 2020
RC2: 'Referee comments', Anonymous Referee #2, 06 May 2020
- AC2: 'Responses to Reviewer 2', Eduardo Moreno-Chamarro, 28 May 2020

Peer-review completion

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

AR by Eduardo Moreno-Chamarro on behalf of the Authors (28 May 2020) Manuscript

ED: Referee Nomination & Report Request started (30 Jul 2020) by Olivier Marti

RR by Anonymous Referee #2 (14 Aug 2020)

RR by Anonymous Referee #1 (18 Aug 2020)

ED: Publish as is (26 Aug 2020) by Olivier Marti

AR by Eduardo Moreno-Chamarro on behalf of the Authors (27 Aug 2020)

Short summary

Climate models need to capture sea ice complexity to represent it realistically. Here we assess how distributing sea ice in discrete thickness categories impacts how sea ice variability is simulated in the NEMO3.6–LIM3 model. Simulations and satellite observations are compared by using k-means clustering of sea ice concentration in winter and summer between 1979 and 2014 at both poles. Little improvements in the modeled sea ice lead us to recommend using the standard number of five categories.