This article was accepted into the corpus but its outbound wikilinks were never NER-processed — typical at the deepest BFS hop or when the run's entity cap was reached. No expansion funnel to show.
| GRIB | |
|---|---|
| Name | GRIB |
| Extension | .grb, .grib |
| Mime | application/octet-stream |
| Developer | World Meteorological Organization |
| Released | 1978 |
| Genre | Meteorological data format |
GRIB is a concise, binary data format widely used for storing and exchanging gridded meteorological and oceanographic data. It serves as a standardized container for numerical weather prediction output, observational gridded analyses, and derived products produced by organizations such as the World Meteorological Organization, European Centre for Medium-Range Weather Forecasts, National Oceanic and Atmospheric Administration, Met Office, and Japan Meteorological Agency. The format prioritizes compactness, portability, and the ability to represent a variety of grid types and scientific parameters for operational forecasting, research, and visualization.
GRIB (General Regularly-distributed Information in Binary) provides a mechanism to encapsulate multi-dimensional arrays of meteorological parameters together with metadata describing grids, levels, and processing history. It is governed by standards maintained in international practice by the World Meteorological Organization and implemented by centers such as ECMWF, NOAA, UK Met Office, JMA, Environment Canada, and Deutscher Wetterdienst. GRIB messages are often distributed via data dissemination systems like EUMETCast, Global Telecommunication System, and bilaterally via FTP or cloud services offered by institutions such as Amazon Web Services and Google Cloud Platform.
A GRIB file is composed of a sequence of self-contained messages, each message encapsulating a specific forecast time, parameter, level, and grid definition. Messages include sections such as indicators, product definition, grid definition, and binary data. Implementations reference standards promulgated by the World Meteorological Organization in technical regulations and tables used by centers like ECMWF and NOAA National Centers for Environmental Prediction. GRIB supports multiple editions; notable are edition 1 and the more flexible edition 2, pursued in collaborations among WMO Commission for Basic Systems, WMO Commission for Services and Applications, and operational centers.
GRIB emphasizes compact binary encoding; earlier implementations used simple packing and scaling, while GRIB2 introduced additional methods including complex packing and matrix packing. Compression techniques in practice include bit-packing, run-length schemes, and optional use of external compression tools by data providers such as ECMWF and NOAA NCEP. Precision and packing parameters are negotiated through GRIB sections and local tables maintained by centers like CMA and BOM. Tools in ecosystems developed by ECMWF, CMA, and NOAA implement decoding of IEEE floating-point, integer scaling, and custom bitmap handling for missing data.
GRIB messages represent a wide array of meteorological and oceanographic parameters: temperature, geopotential, winds, humidity, precipitation, cloud variables, wave spectra, and soil properties. Parameter identification uses center-defined tables and standardized codes maintained by World Meteorological Organization and integrated by agencies including ECMWF, NOAA, JMA, UK Met Office, Environment Canada, BOM, and KNMI. Vertical coordinate systems represented include pressure levels, model levels, height above mean sea level, and sigma coordinates specified by producers like ECMWF and GFS. Temporal aggregation options reflect products from centers such as ECMWF Reanalysis, NCEP Climate Forecast System, and regional ensembles like COSMO and HARMONIE.
A rich ecosystem of libraries, viewers, and processing tools supports GRIB. Core libraries include software from ECMWF such as ecCodes, and legacy libraries from NOAA like wgrib and wgrib2. Visualization and analysis applications leveraging GRIB include Panoply, Integrated Data Viewer, and interfaces in scientific platforms such as Python packages that bind to ecCodes and wgrib2 (for example via PyPI packages). Workflow and data servers in operational environments use packages like THREDDS Data Server, Metview, and data conversion tools integrated with NetCDF conventions for interoperability with climate archives like CMIP and CORDEX.
GRIB is central to operational forecasting, ensemble prediction systems, climate reanalysis production, numerical model intercomparison, and downstream services for aviation, marine, agriculture, and emergency management. Forecast centers such as ECMWF, NCEP, UK Met Office, JMA, Météo-France, Met Éireann, and regional services distribute model output in GRIB to feed decision-support systems used by airlines like IATA and shipping operators associated with IMO, as well as renewable energy forecasting services for wind and solar asset operators. Research communities rely on GRIB-coded archives for retrospective studies performed by groups at NCAR, Met Office Hadley Centre, NOAA ESRL, and university centers.
The GRIB concept emerged in the 1970s as centers needed an efficient, portable format to exchange gridded model output; it was formalized through international collaboration and subsequent editions updated by the World Meteorological Organization and operational centers. Edition 1 saw broad adoption across services including NCEP and ECMWF; limitations led to the introduction of GRIB2 with extended metadata, improved packing, and support for complex grids. Development has been driven by coordination among bodies such as the WMO Technical Commission, operational centers including ECMWF and NCEP, and community software projects. Ongoing evolution addresses interoperability with NetCDF CF Convention, cloud delivery platforms like AWS, and integration into multidisciplinary data infrastructures run by institutions such as Copernicus and national meteorological services.
Category:File formats