Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution
This paper presents the technical implementation of a new, probabilistic version of the NEMO ocean–sea-ice modelling system. Ensemble simulations with <i>N</i> members running simultaneously within a single executable, and interacting mutually if needed, are made possible through an enha...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2017-03-01
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| Series: | Geoscientific Model Development |
| Online Access: | http://www.geosci-model-dev.net/10/1091/2017/gmd-10-1091-2017.pdf |
| _version_ | 1818826192331997184 |
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| author | L. Bessières S. Leroux J.-M. Brankart J.-M. Molines M.-P. Moine P.-A. Bouttier T. Penduff L. Terray B. Barnier G. Sérazin |
| author_facet | L. Bessières S. Leroux J.-M. Brankart J.-M. Molines M.-P. Moine P.-A. Bouttier T. Penduff L. Terray B. Barnier G. Sérazin |
| author_sort | L. Bessières |
| collection | DOAJ |
| description | This paper presents the technical
implementation of a new, probabilistic version of the NEMO ocean–sea-ice
modelling system. Ensemble simulations with <i>N</i> members running
simultaneously within a single executable, and interacting mutually if
needed, are made possible through an enhanced message-passing interface (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°) for the OCCIPUT (oceanic chaos – impacts, structure,
predictability) project. This application aims to
simultaneously simulate the intrinsic/chaotic and the atmospherically forced
contributions to the ocean variability, from mesoscale turbulence to
interannual-to-multidecadal timescales. 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. |
| first_indexed | 2024-12-19T00:23:45Z |
| format | Article |
| id | doaj.art-f3df9a52f17743998d15a5301f3857d3 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-12-19T00:23:45Z |
| publishDate | 2017-03-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-f3df9a52f17743998d15a5301f3857d32022-12-21T20:45:26ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032017-03-011031091110610.5194/gmd-10-1091-2017Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolutionL. Bessières0S. Leroux1J.-M. Brankart2J.-M. Molines3M.-P. Moine4P.-A. Bouttier5T. Penduff6L. Terray7B. Barnier8G. Sérazin9CNRS/CERFACS, CECI UMR 5318, Toulouse, FranceUniv. Grenoble Alpes, CNRS, IRD, IGE, 38000 Grenoble, FranceUniv. Grenoble Alpes, CNRS, IRD, IGE, 38000 Grenoble, FranceUniv. Grenoble Alpes, CNRS, IRD, IGE, 38000 Grenoble, FranceCNRS/CERFACS, CECI UMR 5318, Toulouse, FranceUniv. Grenoble Alpes, CNRS, IRD, IGE, 38000 Grenoble, FranceUniv. Grenoble Alpes, CNRS, IRD, IGE, 38000 Grenoble, FranceCNRS/CERFACS, CECI UMR 5318, Toulouse, FranceUniv. Grenoble Alpes, CNRS, IRD, IGE, 38000 Grenoble, FranceCNRS/CERFACS, CECI UMR 5318, Toulouse, FranceThis paper presents the technical implementation of a new, probabilistic version of the NEMO ocean–sea-ice modelling system. Ensemble simulations with <i>N</i> members running simultaneously within a single executable, and interacting mutually if needed, are made possible through an enhanced message-passing interface (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°) for the OCCIPUT (oceanic chaos – impacts, structure, predictability) project. This application aims to simultaneously simulate the intrinsic/chaotic and the atmospherically forced contributions to the ocean variability, from mesoscale turbulence to interannual-to-multidecadal timescales. 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.http://www.geosci-model-dev.net/10/1091/2017/gmd-10-1091-2017.pdf |
| spellingShingle | L. Bessières S. Leroux J.-M. Brankart J.-M. Molines M.-P. Moine P.-A. Bouttier T. Penduff L. Terray B. Barnier G. Sérazin Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution Geoscientific Model Development |
| title | 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_short | 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 |
| url | http://www.geosci-model-dev.net/10/1091/2017/gmd-10-1091-2017.pdf |
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