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NEMO standing for "Nucleus for European Modelling of the Ocean" is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium.
The NEMO ocean model has 3 major components: NEMO-OCE models the ocean {thermo}dynamics and solves the primitive equations NEMO-ICE (SI3: Sea-Ice Integrated Initiative) models sea-ice {thermo}dynamics, brine inclusions and subgrid-scale thickness variations and NEMO-TOP (Tracers in the Ocean Paradigm) models the {on,off}line oceanic tracers transport and biogeochemical processes. Adaptative mesh refinement is available in NEMO through the AGRIF package (go to the external modules section pour more information
Go to the Ocean models, the Sea ice models and the Biogeochemical models sections to have more details about NEMO-OCE, SI3 and PISCES
In the MEOM team, this modelling framework is widely used for :
- realistic global or regional simulations of the ocean and the sea-ice,
- stochastic ensemble runs of ocean, sea-ice and biogechestry
- ...
Got to the configuration information page for a description of the scripts needed to run NEMO and to the the simulation data page for informations on where to find and how to build configuration files.
NEMO ocean engine is a primitive equation model designed for performing oceanic general circulation simulations.
This primitive equation model is adapted to regional and global ocean circulation problems down to kilometric scale. Prognostic variables are the three-dimensional velocity field, a non-linear sea surface height, the Conservative Temperature and the Absolute Salinity. In the horizontal direction, the model uses a curvilinear orthogonal grid and in the vertical direction, a full or partial step z-coordinate, or s-coordinate, or a mixture of the two. The distribution of variables is a three-dimensional Arakawa C-type grid. Various physical choices are available to describe ocean physics, so as various HPC functionalities to improve performances.
In MEOM team, NEMO ocean model is usually coupled to SI3 or neXtSIM sea ice models and sometimes to PISCES.
Sea Ice modelling Integrated Initiative (SI3) is a flexible tool for studying the sea ice dynamics and thermodynamics, as well as its interactions with the other components of the Earth climate system over a wide range of space and time scales.
Designed for global to regional applications up to 10 km of effective resolution, SI3 is a curvilinear grid, finite-difference implementation of the classical AIDJEX model (Arctic Ice Dynamics Joint EXperiment), combining the conservation of momentum for viscous-plastic continuum, energy and salt-conserving halo-thermodynamics, an explicit representation of subgrid-scale ice thickness variations, snow and melt ponds. An option to switch back to the single-category (or 2-level) framework provides a cheap sea ice modelling solution.
The neXt generation Sea Ice Model (neXtSIM) is a Lagrangian dynamical-thermodynamical sea-ice model that faithfully represents large-scale sea ice thickness, concentration and drift patterns, statistical properties of pack ice deformation and drift, diffusion and dispersion
neXtSIM was developed to explore the role of sea-ice mechanics and dynamics in determining the large-scale behaviour of Arctic sea ice and exhibits a strong capacity for short-term sea ice forecasting at Pan-Arctic scales. As such, it has served as a testing and development ground for the brittle sea-ice rheologies developed over the past decade.
In MEOM team, neXtSIM is coupled to the NEMO ocean engine or is run in a standalone development mode to improve forecast.
neXtSIM_DG is the Eulerian version of the neXtSIM model, using the discontinuous Galerkin method (DG) for advection, instead of the Lagrangian scheme.
neXtSIM_DG is cuurently in development in the framework of SASIP project
The DG method that has proven extremely effective and efficient in retaining high gradients in fluid dynamics.
With the new version we aim to extend the use of the model to fully coupled and global simulations, resulting in a model that can be used from regional short term forecasting applications to global climate simulations. To achieve this, the model infrastructure will be modular and flexible, so that it can easily be coupled to other models and systems and so that new parameterisations and physical routines can easily be added. The dynamical core will use the DG method to ensure the best possible preservation of high gradients in an Eulerian framework, while still maintaining good computational performance.
PISCES s a biogeochemical model that simulates marine biological productivity and describes the biogeochemical cycles of carbon and of the main nutrients (P, N, Si, Fe).
It is the marine biogeochemistry component of two ocean modeling platforms (NEMO and CROCO), three Earth System models (IPSL-CM, CNRM-CM and EC-Earth) and one operational oceanographic system (MERCATOR-Ocean).
XML-IO-Server (XIOS) is a library dedicated to input and output management of climate code
This library outsources the management of output diagnostic and allows some temporal and spatial post-processing operations. It aims at improving flexibility and perfomance.
The OASIS coupler is a software allowing synchronized exchanges of coupling information between numerical codes representing different components of the climate system
When interfaced with the Model Coupling Toolkit (MCT), OASIS3-MCT offers a fully parallel implementation of coupling field regridding and exchange. Low-intrusiveness, portability and flexibility are OASIS3-MCT key design concepts.
AGRIF is a Fortran 90 package for the integration of full adaptative mesh refinement (AMR) features within a multidimensional finite difference model.
Its main objective is to simplify the integration of these capacities in an existing model with almost no changes in this one.