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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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 |
_version_ |
1766194562774073344 |