Google DeepMind researchers say their new AI weather model, WeatherNext, can predict hurricanes days earlier than some current forecasting systems. According to reports, the model is designed to improve both forecast timing and performance by estimating a storm’s track and intensity. NDTV reports that the approach can provide forecasters with up to an additional day of warning, which could help improve disaster preparedness. Wired adds that WeatherNext can make those predictions using lower-resolution weather data. The outlet also reports that DeepMind plans to open-source the model, which would allow other researchers to evaluate and build on it. Wired further notes that the research team does not yet have a complete explanation for how the model produces its results, indicating that the underlying methods are still being studied. Overall, the sources describe a hurricane-prediction system that targets earlier and potentially more accurate forecasts, while acknowledging that scientific understanding of the model’s inner workings is still developing.
DeepMind’s WeatherNext AI model aims to predict hurricanes earlier
Google DeepMind researchers say their new AI weather model, WeatherNext, can predict hurricanes days earlier than some current forecasting systems. According to reports, the model is designed to impro...
- DeepMind developed an AI hurricane forecasting model called WeatherNext.
- The model is reported to predict hurricanes earlier than some existing systems.
- WeatherNext targets forecasts of both storm track and intensity.
- Reports say the model can use lower-resolution weather data.
- DeepMind says it will open-source the model, and researchers are still studying how it works.
Google DeepMind's new AI weather model, WeatherNext, can predict hurricanes earlier and more accurately than many existing systems, giving forecasters up to an extra day of warning and improving disaster preparedness.
3 hours agoIts WeatherNext model, which will be open-sourced, can accurately predict both a storm’s track and intensity using lower-resolution weather data. Researchers don't yet fully understand how it does this.
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