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| NEMO (ocean model) | |
|---|---|
| Name | NEMO |
| Caption | Nucleus for European Modelling of the Ocean |
| Developer | Mercator Ocean International; National Centre for Atmospheric Science; UK Met Office |
| Programming language | Fortran |
| Operating system | Unix-like |
| License | Open-source |
NEMO (ocean model) is an open-source ocean and sea-ice modelling framework used for research, operational forecasting, and climate studies. The software is developed and maintained by European research institutions and operational agencies and is applied in contexts ranging from regional studies to global climate projections. NEMO integrates ocean physics, sea ice, biogeochemistry, and data-assimilation modules to serve communities working with oceanography, meteorology, and climate science.
NEMO is designed to simulate oceanic processes for applications in operational forecasting, climate modelling, and ecosystem analysis, linking to initiatives such as the Intergovernmental Panel on Climate Change, World Meteorological Organization, European Commission, Copernicus Programme, and United Nations Educational, Scientific and Cultural Organization. The framework supports global and regional configurations used by agencies like the National Oceanic and Atmospheric Administration, Met Office, Météo-France, Instituto Português do Mar e da Atmosfera, and research centres including Centre National de la Recherche Scientifique, Max Planck Institute for Meteorology, Scripps Institution of Oceanography, and Woods Hole Oceanographic Institution. NEMO is employed in coupled systems with atmosphere models such as ECMWF Integrated Forecasting System, Met Office Unified Model, GFDL CM4, and regional systems used by NOAA Fisheries, Plymouth Marine Laboratory, Helmholtz Centre for Ocean Research Kiel, and Ifremer.
NEMO originated from collaborative efforts in the early 2000s among European institutions including Météo-France, CNRS, IFREMER, and Mercator Ocean, influenced by preceding models and projects such as OPA (ocean model), ORCA, Levitus dataset, and Argo (oceanography). Major milestones include integration into operational services like Mercator Ocean International products, adoption by the European Centre for Medium-Range Weather Forecasts, and use in climate assessments coordinated by the Intergovernmental Panel on Climate Change. Funding and coordination have involved programs and bodies including the European Commission Horizon 2020, Framework Programme, European Space Agency, National Science Foundation, and national research councils such as the Natural Environment Research Council and Agence Nationale de la Recherche.
NEMO's modular architecture comprises core components: the ocean dynamics module, the sea-ice module, the wave interaction module, and biogeochemical packages, interfacing with couplers like OASIS (coupler). The dynamics module implements primitive equations on grids used by configurations such as ORCA12, ORCA025, and regional grids applied by Gulf of Mexico Research Initiative, Mediterranean Forecasting System, and Black Sea Commission projects. The sea-ice component connects with schemes influenced by CICE (model), while biogeochemical modules draw on concepts and implementations from PISCES, BGC-Argo, and ecosystem modelling frameworks used by ICES. I/O and post-processing integrate with tools and standards such as CF Convention, NetCDF, OpenDAP, and visualization performed via ParaView, Ferret (software), and Python (programming language) libraries used in NASA and European Space Agency data pipelines.
NEMO solves the three-dimensional primitive equations using finite-difference discretization on curvilinear meshes, adopting algorithms adapted from earlier frameworks used in Mercator Ocean International systems and inspired by numerical strategies employed at ECMWF and GFDL. Time-stepping schemes, advection algorithms, and pressure-gradient corrections follow approaches comparable to those in MITgcm, ROMS, and HYCOM, with subgrid parameterizations for turbulence and mixing based on formulations similar to those by K-Profile Parameterization developers and vertical mixing schemes evaluated against Argo observations. Surface flux parameterizations link to bulk formulae used in COARE and exchange schemes applied in coupled systems like CMIP6 experiments.
NEMO is typically forced at the surface by atmospheric analyses and reanalyses from centers such as ECMWF, NCEP, JMA, UK Met Office, and datasets like ERA5, JRA-55, and NCEP/NCAR Reanalysis. Coupled applications use couplers adopted in multi-model systems including Earth System Models participating in CMIP6, and operational forecasting incorporates assimilation systems comparable to 3D-Var, 4D-Var, and ensemble methods used by Copernicus Marine Service, EuroGOOS, and NOAA Climate Prediction Center. Practical applications cover marine safety, fisheries forecasting for agencies like NOAA Fisheries and ICES, coastal inundation modelling for municipalities engaged with UNESCO, and climate impact assessments in reports by IPCC Working Groups.
Validation of NEMO configurations uses observational networks and products such as Argo (oceanography), SeaWinds, Jason (satellite), GRACE, EN4, GODAS, and historical compilations like the World Ocean Atlas. Model intercomparisons occur in frameworks including CMIP6 and coordinated experiments by CLIVAR, WCRP, IOCCG, and regional intercomparison projects led by institutions such as Mercator Ocean International and ECMWF. Performance optimization targets high-performance computing centres including PRACE, XSEDE, JASMIN, and national supercomputing facilities operated by CNRS, NERSC, and CEA.
NEMO's user community spans research institutes, operational agencies, and universities including University of Oxford, University of Cambridge, Sorbonne University, ETH Zurich, University of Bergen, University of Washington, Massachusetts Institute of Technology, Columbia University, University of Southampton, and University of Tokyo. Governance and coordination involve consortiums and projects such as Mercator Ocean International, NEMO Consortium, EuroGOOS, and funding agencies like European Commission and National Science Foundation. Dissemination occurs via code repositories, workshops at conferences including EGU General Assembly, American Geophysical Union Fall Meeting, OceanObs', and training events supported by IOC-UNESCO and regional programs. Category:Ocean modeling