The “AI General Circulation Model” project
A new model for the forecasting of meteorological phenomena based on modern machine learning techniques, to greatly enhance forecasting systems, by considerably reducing calculation times and energy expenditure.
Today’s weather forecasts are based on GCM – Global Circulation Model – computer systems, which are designed to reproduce the behaviour of the global meteorological and climatic system by applying physical and mathematical models. These models, which allow scientists to better understand and consequently predict the mechanisms that govern the atmosphere and oceans, have significant costs in terms of calculation resources (large infrastructures), energy/manpower and time: a ten-day forecast can require many hours of calculation and use hundreds of supercomputer nodes.
The “AI General Circulation Model” project (AIGCM) aims to develop a Proof-of-Concept (POC) of a new meteorological model based on machine learning that is potentially competitive with current models. The new “General Circulation Model” would overcome some of the limits of today’s forecasting systems, as it would significantly reduce both the infrastructure costs and the time required for forecasting, and could, for example, provide data that help to predict energy demands and/or production well in advance.