Google AI Introduces SEEDS: A Generative AI Model that Advances Medium-Range Weather Forecasting

 Google AI Introduces SEEDS: A Generative AI Model that Advances Medium-Range Weather Forecasting

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Google AI Introduces SEEDS: A Generative AI Model that Advances Medium-Range Weather Forecasting

Practical Solutions and Value

Google AI has introduced SEEDS to revolutionize medium-range weather forecasting. SEEDS addresses the challenge of generating accurate and computationally efficient ensemble weather forecasts. It efficiently generates large ensembles of weather forecasts at a fraction of the cost of traditional methods, enabling better quantification of uncertainty and more accurate prediction of extreme events.

SEEDS leverages generative AI technology to produce ensemble forecasts that match or exceed the skill metrics of physics-based ensembles. It can efficiently generate ensembles conditioned on only one or two forecasts from an operational numerical weather prediction system. The generated ensembles accurately capture spatial covariance and correlations between atmospheric variables, providing more realistic forecasts.

SEEDS significantly reduces computational costs compared to traditional methods, with a throughput of 256 ensemble members per 3 minutes on Google Cloud TPUv3-32 instances. This scalability enables the generation of large ensembles necessary for assessing the likelihood of rare but high-impact weather events.

The performance of SEEDS is demonstrated through comparisons with operational weather prediction systems and Gaussian models. SEEDS outperforms Gaussian models in capturing spatial correlations and accurately predicting extreme weather events. It provides better statistical coverage of extreme events, enabling the quantification of their probability and sampling of weather regimes under which they would occur.

By leveraging generative AI technology, SEEDS enables the efficient generation of large ensembles that accurately quantify uncertainty and predict extreme events. This state-of-the-art model could completely change operational numerical weather prediction, providing important data for decision-making in areas such as emergency management and energy trading.

If you want to evolve your company with AI, stay competitive, and use Google AI’s SEEDS for medium-range weather forecasting, connect with us at hello@itinai.com for AI KPI management advice and continuous insights into leveraging AI.

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