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Google LLC, in collaboration with Google Research and DeepMind, has unveiled an artificial intelligence model designed to significantly enhance tropical cyclone forecasting. This new AI system, accessible through the newly launched Weather Lab platform, demonstrates the potential to predict both the path and intensity of tropical cyclones days in advance. The AI model's development addresses limitations found in traditional physics-based weather prediction models, which often struggle to accurately forecast both a cyclone's track and intensity simultaneously due to the different atmospheric factors governing these aspects.
The AI model was trained using extensive datasets detailing the historical paths and intensities of nearly 5,000 cyclones over the past 45 years, alongside millions of observations about past weather conditions. During internal tests, the algorithm showcased its capabilities by accurately predicting the paths of recent cyclones, in some cases almost a week in advance. The system can generate 50 possible scenarios, extending forecasts up to 15 days out, providing a broader and more detailed outlook compared to traditional models. This improved accuracy and extended forecasting range represents a substantial advancement in hurricane prediction capabilities, marking what some are calling a major breakthrough.
Google DeepMind has also announced a partnership with the U.S. National Hurricane Center, which will incorporate the AI's experimental predictions into their operational forecasting workflow. The Weather Lab platform, now available to researchers, provides access to the AI model and two years of historical forecasts, allowing for comparisons with traditional methods. By providing more accurate and timely insights into cyclone behavior, this AI-driven approach promises to improve disaster preparedness and response efforts for communities in hurricane-prone regions, potentially mitigating economic losses and saving lives.
ImgSrc: d15shllkswkct0.
References :
The AI model was trained using extensive datasets detailing the historical paths and intensities of nearly 5,000 cyclones over the past 45 years, alongside millions of observations about past weather conditions. During internal tests, the algorithm showcased its capabilities by accurately predicting the paths of recent cyclones, in some cases almost a week in advance. The system can generate 50 possible scenarios, extending forecasts up to 15 days out, providing a broader and more detailed outlook compared to traditional models. This improved accuracy and extended forecasting range represents a substantial advancement in hurricane prediction capabilities, marking what some are calling a major breakthrough.
Google DeepMind has also announced a partnership with the U.S. National Hurricane Center, which will incorporate the AI's experimental predictions into their operational forecasting workflow. The Weather Lab platform, now available to researchers, provides access to the AI model and two years of historical forecasts, allowing for comparisons with traditional methods. By providing more accurate and timely insights into cyclone behavior, this AI-driven approach promises to improve disaster preparedness and response efforts for communities in hurricane-prone regions, potentially mitigating economic losses and saving lives.
ImgSrc: d15shllkswkct0.
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References :
- SiliconANGLE: Google LLC today detailed an artificial intelligence model that can forecast the path and intensity of tropical cyclones days in advance.
- AI News | VentureBeat: Google DeepMind launches Weather Lab platform for AI hurricane forecasting, showing improved accuracy in early tests with U.S. National Hurricane Center partnership.
- Maginative: Google's AI Can Now Predict Hurricane Paths 15 Days Out — and the Hurricane Center Is Using It
- the-decoder.com: Google Deepmind launches Weather Lab to test AI models for tropical cyclone forecasting
Classification:
- HashTags: #AIweather #CycloneAI #GoogleAI
- Company: Google
- Target: Communities
- Product: WeatherLab
- Feature: Cyclone Forecasting
- Type: AI
- Severity: Informative