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Google develops AI model for forecasting tropical cyclones
- Google has developed an AI model for forecasting the path and intensity of tropical cyclones in advance.
- The AI model was created through a collaboration between Google Research and DeepMind and is available on the new website, Weather Lab.
- Traditional physics-based weather prediction models are usually relied upon for cyclone forecasts but come with limitations.
- Google's AI model can predict both the track and intensity of cyclones with high accuracy, including other details like formation, size, and shape.
- The model was trained on two datasets, one with information on past cyclones and another with weather condition data.
- Internal tests showed the AI accurately predicted the paths of recent cyclones up to 15 days in advance.
- The AI model is accessible to researchers through Weather Lab, where it can be compared with physics-based models for better prediction.
- Nvidia released a foundation model called cBottle for simulating global climate resolution, adopted by research institutions like the Max-Planck-Institute for Meteorology and the Allen Institute for AI.
- The AI model aims to assist weather agencies and emergency services in anticipating cyclone paths and intensities effectively.
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