Generated by GPT-5-mini| Global Forecast System | |
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![]() NWS, which is a branch of NOAA, a US government agency · Public domain · source | |
| Name | Global Forecast System |
| Caption | Numerical forecast output |
| Type | Numerical weather prediction |
| Developer | National Centers for Environmental Prediction / National Oceanic and Atmospheric Administration |
| Initial release | 1980s |
| Latest release | GFSv16 (2023) |
| Programming language | Fortran |
| Operating system | Linux |
| Status | Active |
Global Forecast System
The Global Forecast System is a deterministic numerical forecasting model produced by the National Centers for Environmental Prediction and operationally run by the National Oceanic and Atmospheric Administration in cooperation with NOAA National Weather Service and U.S. Department of Commerce. It provides global atmospheric analyses and medium-range forecasts that support agencies such as National Hurricane Center, Air Force Weather Agency, Met Office users, and international partners like European Centre for Medium-Range Weather Forecasts and Japan Meteorological Agency. Outputs feed applications in aviation by Federal Aviation Administration, maritime support for International Maritime Organization operations, and climate reanalysis projects including NCEP/NCAR Reanalysis.
The system produces gridded prognostic fields for variables including geopotential, temperature, humidity, and wind across pressure levels and surface parameters used by organizations such as World Meteorological Organization, World Health Organization, and United Nations agencies. The model’s cycles are synchronized with observing systems operated by National Weather Service, U.S. Air Force, National Aeronautics and Space Administration, and satellite programs like GOES, NOAA satellite series, and European Space Agency missions. GFS output is disseminated via data services used by private vendors such as The Weather Channel, AccuWeather, and academic groups at Massachusetts Institute of Technology and University of Washington.
Operational runs are initialized using multi-sensor analyses assimilating data from buoys maintained by National Data Buoy Center, radiosonde stations coordinated through World Meteorological Organization, aircraft reports from Airlines for America, and satellite radiances from instruments on Suomi NPP, MetOp, and GOES-R. The data assimilation system leverages techniques related to 3D-Var, 4D-Var, and ensemble-based methods used in systems developed at European Centre for Medium-Range Weather Forecasts and research at National Center for Atmospheric Research. Observing system contributions are evaluated against datasets from COSMIC occultation missions, OPeNDAP archives, and field campaigns supported by National Science Foundation and Office of Naval Research.
The dynamical core integrates primitive equations using finite-volume and spectral element strategies influenced by work at Geophysical Fluid Dynamics Laboratory and academic groups at Princeton University and University of Oxford. Physical parameterizations include planetary boundary layer schemes, microphysics informed by studies at Penn State University, cumulus parameterization families following developments by Arakawa-Schubert concepts, and radiation schemes utilizing line-by-line and correlated-k methods stemming from research at NASA Goddard Space Flight Center. Numerical stability and convergence are informed by contributions from Courant–Friedrichs–Lewy conditions explored in textbooks used at California Institute of Technology and Stanford University.
GFS delivers deterministic and ensemble-family products used by National Hurricane Center for tropical cyclone track guidance, by U.S. Air Force for mission planning, and by energy traders at firms interacting with New York Mercantile Exchange for load forecasting. Public products include surface maps, upper-air charts, precipitation forecasts, and probabilistic guidance distributed to media platforms like BBC Weather and research consortia at European Centre for Medium-Range Weather Forecasts for multi-model comparisons. Specialized downstream applications include hydrological forcing for models used by United States Geological Survey, air quality input for Environmental Protection Agency analyses, and volcanic ash dispersion guidance used by International Civil Aviation Organization.
Validation efforts compare GFS output with independent observations from networks such as Global Precipitation Measurement and reanalysis projects at NOAA ESRL and ECMWF Reanalysis datasets; verification metrics include anomaly correlation, root-mean-square error, and bias studies published through collaborations with American Meteorological Society and European Geosciences Union. Performance has improved through upgrades like coupling to ocean models referenced in work with NOAA GFDL and ensemble enhancements inspired by Canadian Meteorological Centre approaches, but limitations remain for convective-scale precipitation, tropical cyclone intensity, and mesoscale phenomena evaluated in intercomparisons with High Resolution Rapid Refresh and regional systems at National Center for Atmospheric Research. Users are advised to consider multi-model consensus involving ECMWF and Met Office Unified Model products for critical decisions.
The system evolved from earlier operational programs initiated in the 1980s at National Meteorological Center and was modernized through collaborations involving Joint Numerical Testbed and academic partners at University Corporation for Atmospheric Research. Major upgrades include incorporation of coupled atmosphere–ocean frameworks influenced by projects at Geophysical Fluid Dynamics Laboratory and migration to higher-resolution grids supported by investments from U.S. Congress appropriations to National Oceanic and Atmospheric Administration. Community-driven evaluation through workshops hosted by World Meteorological Organization and publications in journals of the American Meteorological Society and Monthly Weather Review have guided successive versions.