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This paper presents the technicalimplementation of a new, probabilistic version of the NEMO ocean–sea-icemodelling system. Ensemble simulations with <i>N</i> members runningsimultaneously within a single executable, and interacting mutually ifneeded, are made possible through an enhanced message-passing interface (MPI)strategy including a double parallelization in the spatial and ensembledimensions. An example application is then given to illustrate theimplementation, performances, and potential use of this novel probabilisticmodelling tool. A large ensemble of 50 global ocean–sea-ice hindcasts hasbeen performed over the period 1960–2015 at eddy-permitting resolution(1∕4°) for the OCCIPUT (oceanic chaos – impacts, structure,predictability) project. This application aims tosimultaneously simulate the intrinsic/chaotic and the atmospherically forcedcontributions to the ocean variability, from mesoscale turbulence tointerannual-to-multidecadal timescales. Such an ensemble indeed provides aunique way to disentangle and study both contributions, as the forcedvariability may be estimated through the ensemble mean, and the intrinsicchaotic variability may be estimated through the ensemble spread

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