On the discretization of the ice thickness distribution  in the  NEMO3.6-LIM3 global ocean–sea ice model

Massonnet, François; Barthélemy, Antoine; Worou, Koffi; Fichefet, Thierry; Vancoppenolle, Martin; Rousset, Clément; Moreno-Chamarro, Eduardo

doi:https://doi.org/10.5194/gmd-12-3745-2019

Articles | Volume 12, issue 8

https://doi.org/10.5194/gmd-12-3745-2019

© Author(s) 2019. 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-12-3745-2019

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

Articles | Volume 12, issue 8

Model evaluation paper

|

27 Aug 2019

Model evaluation paper |

| 27 Aug 2019

On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean–sea ice model

François Massonnet, Antoine Barthélemy, Koffi Worou, Thierry Fichefet, Martin Vancoppenolle, Clément Rousset, and Eduardo Moreno-Chamarro

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Final revised paper (published on 27 Aug 2019)
Preprint (discussion started on 22 Feb 2019)

Interactive discussion

Status: closed

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

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RC1: 'General Comments', Anonymous Referee #1, 29 Mar 2019
RC2: 'Referee Comment', Anonymous Referee #2, 02 Apr 2019
AC1: 'Reply to Referee Comments', Francois Massonnet, 29 May 2019

Peer-review completion

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

AR by Francois Massonnet on behalf of the Authors (21 Jun 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (26 Jun 2019) by Qiang Wang

RR by Anonymous Referee #2 (14 Jul 2019)

RR by Anonymous Referee #1 (16 Jul 2019)

ED: Publish as is (16 Jul 2019) by Qiang Wang

Short summary

Sea ice thickness varies considerably on spatial scales of several meters. However, contemporary climate models cannot resolve such scales yet. This is why sea ice models used in climate models include an ice thickness distribution (ITD) to account for this unresolved variability. Here, we explore with the ocean–sea ice model NEMO3.6-LIM3 the sensitivity of simulated mean Arctic and Antarctic sea ice states to the way the ITD is discretized.