A team of researchers at the Allen Institute for AI and UC San Diego have introduced a climate modeling approach boasting 25× speed-ups and associated energy savings over the emulated physics-based model FV3GFS. Specifically, the method takes about 2 hours and 56 minutes to run a 10-year simulation The physics-based FV3GFS model takes about 78 hours…
AI takes on weather forecasting with Argonne Lab promising faster, more accurate supercomputer-powered predictions
AI is popping up in more and more contexts these days, including in weather forecasting. At Argonne National Laboratory, in a collaboration with UCLA, researchers are tapping a novel AI approach to potentially deliver more accurate forecasts at a fraction of the computational cost of traditional models. For decades, weather forecasting has relied on complex…