MidnightJester
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GenCast combines a cutting-edge diffusion model with the full sweep of historical global weather data. Unlike some AI models that borrow techniques from image or music generation, GenCast is tuned to Earth’s spherical geometry and the subtle dance of the atmosphere. Trained on four decades of temperature, wind, and pressure readings, it has learned to tease out complex patterns that affect local snowfall from the largest weather systems. Impressively, it operates at a resolution fine enough—about a quarter-degree latitude and longitude—to broadly capture the shifting moods of the mountains. Even more remarkable is its speed: producing a 15-day ensemble forecast in around eight minutes, a fraction of the time traditional physics-based models require.
snowbrains.com
Looking forward to seeing this AI weather forecasting program put to the test : )~
Once the AI model was trained up, it was then asked to predict the weather for 15-day periods in 2019. When compared to the actual weather that occurred in that year, GenCast was 97.2% more accurate than the ECMWF predictions. When the window of the prediction time was narrowed to just 36 hours, GenCast did even better – it was 99.8% more accurate than ECMWF. Both metrics best Google's previous weather prediction program, known as GraphCast.
deepmind.google
newatlas.com
Google DeepMind's GenCast Sets a New Standard for Medium-Range Mountain Forecasting - SnowBrains
Enter GenCast: a new AI ensemble model from Google DeepMind that aims to push long-range weather forecasting into a fresh era of reliability.
snowbrains.com
Looking forward to seeing this AI weather forecasting program put to the test : )~
This is Googles scientific paper on "Gencast" that is published for peer science review with open code provided.
Probabilistic weather forecasting with machine learning - Nature
GenCast, a probabilistic weather model using artificial intelligence for weather forecasting, has greater skill and speed than the top operational medium-range weather forecast in the world and provides probabilistic, rather than deterministic, forecasts.
www.nature.com
Once the AI model was trained up, it was then asked to predict the weather for 15-day periods in 2019. When compared to the actual weather that occurred in that year, GenCast was 97.2% more accurate than the ECMWF predictions. When the window of the prediction time was narrowed to just 36 hours, GenCast did even better – it was 99.8% more accurate than ECMWF. Both metrics best Google's previous weather prediction program, known as GraphCast.
Probabilistic weather forecasting with machine learning - Nature
GenCast, a probabilistic weather model using artificial intelligence for weather forecasting, has greater skill and speed than the top operational medium-range weather forecast in the world and provides probabilistic, rather than deterministic, forecasts.
GenCast predicts weather and the risks of extreme conditions with state-of-the-art accuracy
New AI model advances the prediction of weather uncertainties and risks, delivering faster, more accurate forecasts up to 15 days ahead
Google's weather tool gets it right 97% more times than best forecaster
Google's weather tool gets it right 97% more times than best forecaster
GenCast, an AI-powered weather prediction tool, can crank out 15 days of highly accurate weather forecasts in minutes. Not only will it help you dress right in the morning, but it can give valuable, life-saving warnings for extreme weather events.
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