Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution

This sources presents the technical implementation of a new, probabilistic version based on NEMO 3.5 ocean/sea-ice modelling system (Bessières et al., 2017). Ensemble simulations with N members running simultaneously within a single executable, and interacting mutually if needed, are made possible t...

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Main Authors: Bessières, Laurent, Leroux, Stéphanie, Brankart, Jean-Michel, Molines, Jean-Marc, Moine, Marie-Pierre, Bouttier, Pierre-Antoine, Penduff, Thierry, Terray, Laurent, Barnier, Bernard, Sérazin, Guillaume
Format: Software
Language:unknown
Published: 2016
Subjects:
Online Access:https://zenodo.org/record/61611
https://doi.org/10.5281/zenodo.61611
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record_format openpolar
spelling ftzenodo:oai:zenodo.org:61611 2023-05-15T18:18:08+02:00 Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution Bessières, Laurent Leroux, Stéphanie Brankart, Jean-Michel Molines, Jean-Marc Moine, Marie-Pierre Bouttier, Pierre-Antoine Penduff, Thierry Terray, Laurent Barnier, Bernard Sérazin, Guillaume 2016-09-05 https://zenodo.org/record/61611 https://doi.org/10.5281/zenodo.61611 unknown https://zenodo.org/record/61611 https://doi.org/10.5281/zenodo.61611 oai:zenodo.org:61611 info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-2.0 Geoscientific Model Development NEMO special issue NEMO Ocean Modelling Eddy-permitting Probabilist ocean Intrinsic variability Ensemble simulation OCCIPUT project info:eu-repo/semantics/other software 2016 ftzenodo https://doi.org/10.5281/zenodo.61611 2023-03-11T02:53:50Z This sources presents the technical implementation of a new, probabilistic version based on NEMO 3.5 ocean/sea-ice modelling system (Bessières et al., 2017). Ensemble simulations with N members running simultaneously within a single executable, and interacting mutually if needed, are made possible through an enhanced MPI strategy including a double parallelization in the spatial and ensemble dimensions. An example application is then given to illustrate the implementation, performances and potential use of this novel probabilistic modelling tool. A large ensemble of 50 global ocean/sea-ice hindcasts has been performed over the period 1960-2015 at eddy-permitting resolution (1/4 o ) for the OCCIPUT project. This application is aimed to simultaneously simulate the intrinsic/chaotic and the atmospherically-forced contributions to the ocean variability, from meso-scale turbulence to interannual-to-multidecadal time scales. Such an ensemble indeed provides a unique way to disentangle and study both contributions, as the forced variability may be estimated through the ensemble mean, and the intrinsic chaotic variability may be estimated through the ensemble spread. Reference: Bessières, L., Leroux, S., Brankart, J.-M., Molines, J.-M., Moine, M.-P., Bouttier, P.-A., Penduff, T., Terray, L., Barnier, B., and Sérazin, G.: Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution, Geosci. Model Dev., 10, 1091-1106, doi:10.5194/gmd-10-1091-2017, 2017. -Disclaimer- The authors warn that this sources delivery does not imply warranties and support, they assumes no responsability for problems, errors, or incorrect usage of NEMO. Additional information can be found on nemo-ocean.eu website. Software Sea ice Zenodo Leroux ENVELOPE(-64.231,-64.231,-65.619,-65.619)
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic NEMO
Ocean Modelling
Eddy-permitting
Probabilist ocean
Intrinsic variability
Ensemble simulation
OCCIPUT project
spellingShingle NEMO
Ocean Modelling
Eddy-permitting
Probabilist ocean
Intrinsic variability
Ensemble simulation
OCCIPUT project
Bessières, Laurent
Leroux, Stéphanie
Brankart, Jean-Michel
Molines, Jean-Marc
Moine, Marie-Pierre
Bouttier, Pierre-Antoine
Penduff, Thierry
Terray, Laurent
Barnier, Bernard
Sérazin, Guillaume
Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution
topic_facet NEMO
Ocean Modelling
Eddy-permitting
Probabilist ocean
Intrinsic variability
Ensemble simulation
OCCIPUT project
description This sources presents the technical implementation of a new, probabilistic version based on NEMO 3.5 ocean/sea-ice modelling system (Bessières et al., 2017). Ensemble simulations with N members running simultaneously within a single executable, and interacting mutually if needed, are made possible through an enhanced MPI strategy including a double parallelization in the spatial and ensemble dimensions. An example application is then given to illustrate the implementation, performances and potential use of this novel probabilistic modelling tool. A large ensemble of 50 global ocean/sea-ice hindcasts has been performed over the period 1960-2015 at eddy-permitting resolution (1/4 o ) for the OCCIPUT project. This application is aimed to simultaneously simulate the intrinsic/chaotic and the atmospherically-forced contributions to the ocean variability, from meso-scale turbulence to interannual-to-multidecadal time scales. Such an ensemble indeed provides a unique way to disentangle and study both contributions, as the forced variability may be estimated through the ensemble mean, and the intrinsic chaotic variability may be estimated through the ensemble spread. Reference: Bessières, L., Leroux, S., Brankart, J.-M., Molines, J.-M., Moine, M.-P., Bouttier, P.-A., Penduff, T., Terray, L., Barnier, B., and Sérazin, G.: Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution, Geosci. Model Dev., 10, 1091-1106, doi:10.5194/gmd-10-1091-2017, 2017. -Disclaimer- The authors warn that this sources delivery does not imply warranties and support, they assumes no responsability for problems, errors, or incorrect usage of NEMO. Additional information can be found on nemo-ocean.eu website.
format Software
author Bessières, Laurent
Leroux, Stéphanie
Brankart, Jean-Michel
Molines, Jean-Marc
Moine, Marie-Pierre
Bouttier, Pierre-Antoine
Penduff, Thierry
Terray, Laurent
Barnier, Bernard
Sérazin, Guillaume
author_facet Bessières, Laurent
Leroux, Stéphanie
Brankart, Jean-Michel
Molines, Jean-Marc
Moine, Marie-Pierre
Bouttier, Pierre-Antoine
Penduff, Thierry
Terray, Laurent
Barnier, Bernard
Sérazin, Guillaume
author_sort Bessières, Laurent
title Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution
title_short Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution
title_full Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution
title_fullStr Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution
title_full_unstemmed Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution
title_sort development of a probabilistic ocean modelling system based on nemo 3.5: application at eddying resolution
publishDate 2016
url https://zenodo.org/record/61611
https://doi.org/10.5281/zenodo.61611
long_lat ENVELOPE(-64.231,-64.231,-65.619,-65.619)
geographic Leroux
geographic_facet Leroux
genre Sea ice
genre_facet Sea ice
op_source Geoscientific Model Development NEMO special issue
op_relation https://zenodo.org/record/61611
https://doi.org/10.5281/zenodo.61611
oai:zenodo.org:61611
op_rights info:eu-repo/semantics/openAccess
https://opensource.org/licenses/GPL-2.0
op_doi https://doi.org/10.5281/zenodo.61611
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