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GEM is a Canadian weather forecasting and data assimilation system that runs out to 16 days. It has different variants for global, regional and mesoscale applications, and uses a hydrostatic primitive equation with a terrain following pressure coordinate.
ECMWF is an intergovernmental organisation that produces medium-range and seasonal weather forecasts for Europe and the world. It operates one of the largest supercomputer complexes and the world's largest archive of numerical weather prediction data.
The Integrated Forecast System (IFS) is a global numerical weather prediction system developed by ECMWF and Météo-France. It has different configurations and resolutions, and is used by many national weather services and research institutions.
The Global Forecast System (GFS) is a U.S. numerical weather prediction system that produces forecasts for up to 16 days in advance. It uses a FV3 model with 13 km resolution and runs four times a day, and is the basis for many private and foreign weather forecasts.
The ECMWF model, the Ensemble Prediction System (EPS), [8] uses a combination of singular vectors and an ensemble of data assimilations (EDA) to simulate the initial probability density. [9] The singular vector perturbations are more active in the extra-tropics, while the EDA perturbations are more active in the tropics.
Learn how mathematical models of the atmosphere and oceans are used to predict the weather and climate based on current conditions and observations. Explore the history, methods, challenges and applications of numerical weather prediction.
ERA-15 is the first reanalysis product by the European Centre for Medium-Range Weather Forecasts (ECMWF), covering 15 years from December 1978 to February 1994. It uses various sources of meteorological observations and a 125 km resolution model to improve historical weather maps and analysis.
Learn about the meteorological and climate data assimilation project that aims to assimilate historical atmospheric observational data spanning an extended period. Find out the examples, uses, and cautions of reanalysis datasets such as ECMWF re-analysis, MERRA-2, and NCEP/NCAR Reanalysis.