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 |
| Published: |
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 |
| Summary: | 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. |
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| ISSN: | 1991-959X 1991-9603 |