The AI Weather Model That Uses 200 Times Less Energy Than the World's Best
The European Centre for Medium-Range Weather Forecasts has spent decades running the world’s most sophisticated weather simulations on some of the planet’s largest supercomputers. Their model, the Integrated Forecasting System, crunches through the laws of physics hour by hour to predict what the atmosphere will do next. Last week, ECMWF announced that a machine learning model using 200 times less energy can now match it. In the weeks-ahead range that matters most for disaster planning, it can beat it.
That model is called AIFS-SUBS, and it is ECMWF’s first AI system designed specifically for sub-seasonal forecasting: the awkward middle ground between next week’s weather and next season’s climate. Meteorologists call this the “predictability desert.”