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Ask a Scientist: How do researchers use AI to predict a cyclone?
Google DeepMind developed WeatherNext AI models that use 50 years of historical data to improve the accuracy of cyclone path and intensity predictions. These models can run on a single TPU, replacing the need for building-sized supercomputers.
Why it matters
More accurate and earlier warnings allow authorities and communities to make life-saving emergency preparations before extreme weather strikes. Extending forecast horizons from five to seven days provides critical extra time for evacuations.
The details
The AI models predicted Hurricane Melissa's intensification from Category 1 to Category 5, aiding preparations in Jamaica. Historically, the meteorological community gained approximately one day of forecast accuracy per decade. Cyclones, hurricanes, and typhoons are different names for the same rotating storm systems.
What's next
Google has open-sourced WeatherNext 2 and WeatherNext cyclones models and launched an interactive Weather Lab website for the scientific community.
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Key connections
Google DeepMind owns Weather Lab
developed an interactive Weather Lab website
WeatherNext is built with AI
By combining decades of historical atmospheric data with advanced AI, Google researchers have achieved a massive leap in cyclone forecasting accuracy... WeatherNext models
Ferran Alet works at Google DeepMind
Ferran Alet, a research scientist at Google DeepMind
Google DeepMind owns WeatherNext
Google DeepMind scientist explains how AI is helping us to better forecast cyclones... helped develop our WeatherNext models
Google DeepMind owns WeatherNext 2
We’ve open-sourced our WeatherNext 2
Google DeepMind owns WeatherNext cyclones
We’ve open-sourced our... WeatherNext cyclones models
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WeatherNext uses TPU
life-saving models that can run on a single TPU
Google DeepMind is a partner of National Hurricane Center
we partnered with the National Hurricane Center to support their forecasts
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