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Generative Ai to Quantify Uncertainty in Weather Forecasting

Google Research 3:00 am on May 23, 2024

Generative AI-based weather forecasting model SEEDS generates ensemble forecasts by directly modeling joint atmospheric statistics, enabling it to produce highly detailed and accurate weather predictions at an accelerated pace compared to traditional methods. It excels in capturing intricate spatial relationships in the atmosphere, improving assessment of extreme events' probabilities and coverage.

Generative AI for Enhanced Weather Forecasts:
Direct modeling of atmospheric statistics leads to high-quality ensemble forecasts.
SEEDS outperforms traditional Gaussian models in capturing spatial relationships.
Enables the rapid generation of large ensembles, crucial for rare weather event predictions.
Potential to be integrated into climate risk assessment by generating extensive climate projections.

http://blog.research.google/2024/03/generative-ai-to-quantify-uncertainty.html

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Generative Ai to Quantify Uncertainty in Weather Forecasting

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