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| CF Metadata Conventions | |
|---|---|
| Name | CF Metadata Conventions |
| Abbreviation | CF |
| Established | 2003 |
| Scope | Climate, Forecast, Earth system model output, observational datasets |
| Maintainer | CF Community |
CF Metadata Conventions
The CF Metadata Conventions provide a standardized set of metadata constructs for Earth system data to promote interoperability among modeling centers, data centers, and research programs. They enable consistent description of variables, coordinate systems, and climatological metadata across formats used by organizations such as National Oceanic and Atmospheric Administration, National Aeronautics and Space Administration, European Centre for Medium-Range Weather Forecasts, Met Office, and World Meteorological Organization. CF supports integration with communities around projects like Coupled Model Intercomparison Project, Global Ocean Data Assimilation Experiment, Group on Earth Observations, Arctic Council, and Intergovernmental Panel on Climate Change.
CF sets conventions for describing Earth science datasets to make files self-describing for users including scientists from NASA Goddard Space Flight Center, NOAA National Centers for Environmental Information, UK Met Office Hadley Centre, European Space Agency, and Scripps Institution of Oceanography. The conventions target formats such as those used by NetCDF Operators, HDF5, GRIB, OPeNDAP, and workflows at centers like Plymouth Marine Laboratory and Lamont–Doherty Earth Observatory. CF metadata enables linkage to standards promulgated by bodies like Open Geospatial Consortium, World Meteorological Organization Commission for Basic Systems, International Oceanographic Commission, Group on Earth Observations Climate and projects like Earth System Grid Federation.
CF emerged in response to interoperability needs identified by institutions including European Centre for Medium-Range Weather Forecasts, National Center for Atmospheric Research, Met Office, NOAA and NASA during early 2000s collaborations analogous to efforts such as Global Climate Observing System, International Geosphere-Biosphere Programme, World Climate Research Programme, CLIVAR, and GEWEX. Key milestones involved community discussions at meetings associated with American Meteorological Society conferences, workshops hosted by IPCC authors, and coordination with initiatives like Data Conservancy, PANGAEA, and EarthCube. Development incorporated practices from software projects such as Unidata and harmonized with standards by ISO and OGC.
CF defines semantic clarity through standard names and attributes adopted by groups including Working Group on Numerical Experimentation, European Research Council projects, and national meteorological services like Environment Canada. Principles emphasize self-describing files, discoverability valued by repositories such as NCAR, EMODnet, BODC, NOAA NCEI, and reusability akin to FAIR guidance promoted by European Commission programs and Research Data Alliance. Conventions ensure compatibility with vocabularies used by initiatives like GEOSS, IPBES, Group on Earth Observations Biodiversity Observation Network and with metadata frameworks from Dublin Core adopters.
CF specifies coordinate types and grid mapping constructs used by models and observational datasets generated by centers such as ECMWF, NCAR Community Earth System Model, NOAA GFDL, UK Met Office Unified Model, and gridded products from Copernicus Climate Change Service. It covers representations for latitude/longitude, rotated poles used by Met Office Hadley Centre, curvilinear grids from HYCOM, sigma-pressure coordinates applied in ECMWF Integrated Forecasting System, and map projections defined with guidance from EPSG and PROJ. Grid mappings support data exchange across services like THREDDS Data Server, ERDDAP, ESGF, and visualization tools such as Panoply, ncview, and QGIS.
CF’s Standard Name Table provides consistent variable naming widely adopted by modeling intercomparison projects including CMIP5, CMIP6, and observational networks like Argo, AErosol RObotic NETwork, Surface Ocean CO2 Atlas. The vocabulary links to ontologies and registries used by W3C, Linked Data, and catalogues like GCMD and CEDA. Controlled vocabularies support harmonization with community resources such as SeaDataNet, PANGAEA, BODC Parameter Usage Vocabulary, and standards from ISO 19115-aligned repositories.
CF prescribes attributes including units, long_name, standard_name, missing_value, _FillValue, coordinates, and cell_methods used by data stewards at organizations like NOAA NCEI, NASA JPL, USGS, JMA, and CSIRO. These attributes facilitate interpretation by tools and downstream analyses in environments like Python ecosystems (packages maintained by SciPy, xarray, Pandas), languages such as R with packages from CRAN, and workflows executed on infrastructures like Amazon Web Services and Google Earth Engine when integrating climate datasets curated by Copernicus.
CF is implemented primarily within NetCDF files produced by modeling centers including GFDL, HadGEM, CESM, MPI-ESM, observational archives like Global Historical Climatology Network, and reanalysis projects such as ERA5 and MERRA-2. CF metadata is consumed by data services including THREDDS, OPeNDAP, ESGF, and scientific software like NCL, Matlab, Python xarray, Cdo, and NCO. Adoption encourages reproducible research in studies led by institutions like Lamont–Doherty Earth Observatory, Scripps Institution of Oceanography, Woods Hole Oceanographic Institution, and universities in programs funded by NSF and European Research Council.
CF is governed and maintained through a community process with editors and steering groups that coordinate via mailing lists, GitHub repositories, and governance models resembling those used by Open Source Initiative, Apache Software Foundation, and community standards consortia like RDA and IGSN. Maintenance involves contributions from representatives at ECMWF, UK Met Office, NOAA, NASA, CMIP participants, and research centers such as NCAR, GFDL, and MPI-M. Best practices include versioned specification releases, community review at conferences like AGU Fall Meeting, EGU General Assembly, and training workshops run by UNESCO and regional data centers.
Category:Metadata standards