ACCESS_G3_W, NAVGEM_W, GFS_NCEP_W, ECMWF_NOAA_W, GDPS_W
| PRODUCT | OWNER | COVERAGE | DATA CELL SIZE | RATE OF OBSERVATION | FORECAST LENGTH | MODEL RUN | MOST RECENT HARVEST | NEXT SCHEDULED HARVEST | NEXT EXPECTED AVAILABILITY |
|---|---|---|---|---|---|---|---|---|---|
| ACCESS_G3_W | BoM | Global | 0.18° longitude x 0.12° latitude (~12km in the mid-latitudes, ~17km in tropics) | Every 1 hour (for surface level products) | 240 hours For 00UTC and 12UTC runs | 4 times a day | 111042Z May 2025 | 121000Z May 2025 | 121035Z May 2025 |
| NAVGEM_W | U.S.NAVY | Global | 55 km | Hourly | 144 Hrs | 4 Times Daily | 111940Z May 2025 | 120730Z May 2025 | 120734Z May 2025 |
| GFS_NCEP_W | NOAA/NCEP | Global | 55 km | Hourly | 72 Hrs | 4 Times Daily | 120226Z May 2025 | 120800Z May 2025 | 120820Z May 2025 |
| ECMWF_NOAA_W | ECMWF | Global | 0.1°x0.1° | Hourly 0-90; Every 3 hours 93-144; Every 6 hours 150-240 | 72 hours | 4 Times Daily | 120437Z May 2025 | 120600Z May 2025 | 120601Z May 2025 |
| GDPS_W | ECCC | Global | 0.2°x0.2° | Every 3 Hrs | 10 days | 2 Times Daily | 111615Z May 2025 | 121600Z May 2025 | 121608Z May 2025 |
ACCESS_G3_W
Australian Community Climate and Earth System Simulator (ACCESS) is an earth system model developed by a collaborative effort between UK Met Office, Bureau of Meteorology (BoM) of Australia, Commonwealth Scientific and Industrial Research Organization (CSIRO) and many Australian Universities. The model was implemented operationally in July 2019 by the Bureau's National Meteorological & Oceanographic Centre. ACCESS-G APS3 is the third generation of the ACCESS NWP models that provides atmospheric forecasts for the whole globe. Data assimilation system is based on the UK Met Office Unified Model (UM) system. Prognostics variables in the model include winds (zonal, meridional and vertical), air density, potential temperature, and mixing-ratios of water-vapor, cloud-liquid-water, and cloud-frozen-water. For observational data assimilation, ACCESS system uses a four-dimensional variational data assimilation scheme (4DVAR) which assimilates measurements such as surface pressure, temperature, winds and relative humidity from in-situ and remotely sensed data. The horizontal resolution is 0.17578125° longitude by 0.1171875° latitude (~12km in the mid-latitudes, ~17km in tropics) and it has 70 hybrid-height vertical levels.
NAVGEM_W
Navy Global Environmental Model (NAVGEM) is the U. S. Navy's global numerical weather prediction model. NAVGEM was implemented with a resolution of T359L50, an equivalent grid point resolution of about 0.333 degrees. The model top pressure is set at 0.04 hPa (0.04 mbar); however, the first velocity and temperature level is approximately 0.07 hPa (0.07 mbar). The primitive atmospheric variables are surface pressure, wind velocity, virtual potential temperature, specific humidity, ozone, cloud liquid water, and cloud ice water. NAVGEM also includes a four-layer soil prediction system, which forecasts soil temperature, soil liquid water, and soil ice water down to 2 meters, and a four-layer sea-ice temperature prediction calculation.
The operational NAVGEM runs in a massively parallel system and executes several times each 00-UTC and 12-UTC watch, including a 7.5-day forecast completing approximately five hours past the synoptic time. NAVGEM currently outputs close to 80,000 gridded fields per day. NAVGEM also provides essential and tailored input to many other models, including the Navy's advanced Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS), ocean wave model, sea ice model, ocean circulation model, ocean thermodynamics model, tropical cyclone model, aerosol model, aircraft and ship-routing programs, and numerous other application programs at FNMOC (Fleet Numerical Meteorology and Oceanography Center). Along with the NOAA’s Geophysical Fluid Dynamics Lab (GFDL) tropical cyclone forecast model and the UK Met Office and Japanese global models, NAVGEM is a primary tropical cyclone forecast tool for forecasters at the Joint Typhoon Warning Center (JTWC).
For its data assimilation, NAVGEM employs the Navy Research Lab (NRL) Atmospheric Variational Data Assimilation System-Accelerated Representer (NAVDAS-AR). The analysis is performed on the Gaussian grid of the T359L50 global spectral model.
Besides using conventional observations (surface, rawinsonde (wind probe), pibal (pilot balloon), and aircraft), the analysis makes heavy use of various forms of satellite-derived observations. The analysis employs both direct radiance (brightness temperature) and derived soundings from NOAA and DMSP polar-orbiting satellites. Additional soundings are derived via GPS-radio occultation measurements between the GPS satellites and low-earth satellite. Surface marine winds are assimilated using SSMI (wind speed EDR), ASCAT, and WindSat, while winds aloft are estimated from atmospheric motion vector measurements using water vapor, infrared, and visible satellite imagery (Geostationary, MODIS, AVHRR, and LEO/GEO).
The NAVGEM model time step is currently 360 seconds (six minutes).
GFS_NCEP_W
Global Forecast System (GFS) http://www.emc.ncep.noaa.gov/gmb/moorthi/gam.html first became operational in 1980 and has undergone updating since then. National Oceanic and Atmospheric Administration (NOAA) / National Centers for Environmental Prediction (NCEP) run GFS. GFS is a global spectral data assimilation and forecast model system. GFS has 64 unequally spaced surface pressure layers from the surface to the top of the atmosphere. NCEP implemented major changes to GFS on May 31, 2005. GFS forecasts are produced every six hours at 00, 06, 12 and 18 UTC. The horizontal resolution increased from approximately 50 km to approximately 35 km in both the analysis and forecast model. GFS contains a full suite of parameterized physics as well as accompanying sea-ice and land-surface models. Land is based upon a USGS global digital elevation model at approximately 1 km resolution. Sea surface temperatures, sea ice, snow cover and surface characteristics for wind speed are accounted for in the model. Information on the model products can be found at the production model web page http://www.nco.ncep.noaa.gov/pmb/products/gfs/. The link to the latest information about the GFS is: http://www.emc.ncep.noaa.gov/modelinfo
ECMWF_NOAA_W
The ECMWF (European Centre for Medium-Range Weather Forecasts) is an independent intergovernmental research organization supported by European nations and located in the UK. ECMWF provides operational services by combining the scientific and technical resources of European meteorological services and institutions to produce numerical weather forecasts for medium-range timescales, including the ECMWF Winds. The Atmospheric General Circulation model is the atmospheric component of ECMWF IFS (Integrated Forecasting System) which is an Earth System Model. The atmospheric component captures the dynamical evolution of the atmosphere for medium-range forecasts. The ECMWF global medium-range forecast provides high-resolution forecasts (HRES). The HRES is a single prediction that uses observations, prior information about the Earth-system and the ECMWF's highest resolution model. On average over many forecasts the HRES is ECMWF's most accurate prediction of future weather to about 10 days ahead. The HRES is a single run created twice daily giving forecasts to Day 10 based on 00UTC and 12UTC data times. The HRES current resolution is 9 km. HRES is also coupled to the ECMWF Ocean Wave Model (ECWAM) and the Dynamic Ocean model (Nucleus for European Modeling of the Ocean-NEMO). This coupling facilitates getting important feedback to the atmosphere and capturing the change of ocean state on a daily timescale as these variations can be important in certain situations during the forecast evolution.
GDPS_W
The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model run by the Environment and Climate Change (ECCC), Canada. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global on a native Yin-Yang grid at 15 km horizontal resolution. Data is available for 33 vertical levels and interpolated on a global latitude-longitude uniform grid with 0.2 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.