Otter Weather AI model offers efficient, skillful medium-range forecasting

Researchers have developed Otter Weather, a new AI model for medium-range weather forecasting that significantly improves the skill-compute Pareto frontier. This model is designed to be more computationally efficient, making high-performance weather prediction accessible to a wider range of users. The deterministic version of Otter Weather outperforms traditional Numerical Weather Prediction (NWP) baselines and requires substantially less training compute, while Otter-XL achieves competitive results against frontier architectures with an order of magnitude less compute. The model's architecture also shows promise for application to other scientific domains, including complex partial differential equation tasks. AI

IMPACT This model could democratize advanced weather forecasting and potentially accelerate AI adoption in other scientific domains.

RANK_REASON The cluster contains a research paper detailing a new AI model for weather forecasting. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• A100
• AI
• Cristiana Diaconu
• ERA5
• GenCast
• IFS ENS
• Numerical Weather Prediction
• Otter Weather
• Otter-XL
• WeatherBench

• paper
• infra

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