Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 10, 1091-1106, 2017
https://doi.org/10.5194/gmd-10-1091-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Model description paper
10 Mar 2017
Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution
Laurent Bessières et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Development of a probabilistic ocean modelling system with NEMO at eddying resolution', Anonymous Referee #1, 18 Oct 2016 Printer-friendly Version 
AC1: 'Response to Anonymous Referee #1', Laurent Bessières, 09 Dec 2016 Printer-friendly Version 
 
RC2: 'external review', Anonymous Referee #2, 13 Nov 2016 Printer-friendly Version 
AC2: 'Response to Anonymous Referee #2', Laurent Bessières, 09 Dec 2016 Printer-friendly Version 
 
RC3: 'Comments on the discussion of probabilistic aspects', Anonymous Referee #3, 15 Nov 2016 Printer-friendly Version 
AC3: 'Response to Anonymous Referee #3', Laurent Bessières, 09 Dec 2016 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Laurent Bessières on behalf of the Authors (16 Dec 2016)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (21 Dec 2016) by David Ham
RR by Anonymous Referee #3 (31 Dec 2016)
ED: Publish as is (04 Jan 2017) by David Ham
AR by Laurent Bessières on behalf of the Authors (13 Jan 2017)  Author's response  Manuscript
CC BY 4.0
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Short summary
A new, probabilistic version of an ocean modelling system has been implemented in order to simulate the chaotic and the atmospherically forced contributions to the ocean variability. For that purpose, a large ensemble of global hindcasts has been performed. Results illustrate the importance of the oceanic chaos on climate-related oceanic indices, and the relevance of such probabilistic ocean modelling approaches to anticipating the behaviour of the next generation of coupled climate models.
A new, probabilistic version of an ocean modelling system has been implemented in order to...
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