The New York Times has a pretty interesting piece today about Google's latest and greatest AI weather forecasting tool, GenCast, which extends reliable forecasting from 10 days to 15:
A new artificial intelligence tool from DeepMind, a Google company in London that develops A.I. applications, has smashed through the old barriers and achieved what its makers call unmatched skill and speed in devising 15-day weather forecasts.
....The world leader in atmospheric prediction is the European Center for Medium-Range Weather Forecasts. Comparative tests regularly show that its projections exceed all others in accuracy.... The new agent outdid the center’s forecasts 97.2 percent of time. The A.I. achievement, the authors wrote, “helps open the next chapter in operational weather forecasting.”
Generative language AIs rely on training themselves with petabytes of written internet content. This helps them learn to speak and understand the real world, but obviously doesn't allow them to forecast the weather. So how does GenCast do it?
The DeepMind agent runs on smaller machines and studies the atmospheric patterns of the past to learn the subtle dynamics that result in the planet’s weather.
The DeepMind team trained GenCast on a massive archive of weather data curated by the European center. The training period went from 1979 to 2018, or 40 years. The team then tested how well the agent could predict 2019’s weather.... Mimicking how humans learn, it spots patterns in mountains of data and then makes new, original material that has similar characteristics.
Here's a chart that shows errors in tracking tropical cyclones. GenCast is about 25 km better at every date range:
Plus GenCast eliminates the need for huge, expensive supercomputers:
Instead, the DeepMind agent runs on smaller machines and studies the atmospheric patterns of the past to learn the subtle dynamics that result in the planet’s weather.
....Dr. Price of DeepMind said, the new agent can generate a 15-day forecast in minutes compared with hours for a supercomputer. That can make its projections much timelier — an advantage in tracking fast-moving storms.
I can imagine that different training sets will allow GenCast and its successors to predict weather events of all sorts at lower cost and with greater accuracy than ever before. Next up: Earthquakes. Let's get cracking, geo-boffins.