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Main contrasts between Classical and Artificial Intelligence (AI) forecasting models 

Traditional numerical weather forecasting relies upon a representation of the state of the atmosphere as accurate as possible at a given time.  Initial status of each model forecast is based upon observations and upon background fields of parameters derived from previous executions of the forecast suite.  This analysis is followed by time-step iterations using a simulation of physical laws and fluxes of heat, moisture and momentum.  The ECMWF Integrated Forecast System (IFS) model is a complex but refined representation of the interactions in the model atmosphere.  It is fully interactive with energy fluxes from land and sea surfaces.  Computations are repeated at small simulated time-steps at a large number of grid points across the globe.  Because of the complexity, it is relatively expensive in time and resources.  

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