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The Verge
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Google has a new AI model and website for forecasting tropical storms
- Google has developed a new AI-based model for tropical cyclone forecasting, collaborating with the US National Hurricane Center (NHC) to evaluate its effectiveness.
- The new experimental AI model can generate 50 different scenarios for a storm's track, size, and intensity up to 15 days in advance.
- Google's AI model is trained on data from Europe's ERA5 archive and aims to provide more accurate warnings and preparation time for storms.
- The model's predictions have shown promising results, with Google claiming its accuracy matches that of traditional physics-based models.
- Google's Weather Lab website allows users to compare AI models with traditional ECMWF models but is currently a research tool and not for public forecast reliance.
- Google is working with research institutions like Colorado State University to enhance its AI weather models and improve predictions.
- The importance of real-world observations and traditional weather models complements AI tools, highlighting the need for a balance in weather forecasting methods.
- Concerns arise over US government's ability to sustain weather research and operations due to staffing cuts and privatization trends under the Trump administration.
- Despite advancements in AI forecasting, the role of collecting new data and adapting to climate change remains critical for weather prediction accuracy.
- Google's shift towards privatization of weather services raises questions about accessibility and the impact on providing free weather forecasts to the public.
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