Numerical Integration - Artificial Intelligence News Briefing

Can A Machine Learning-enabled Numerical Model Help Extend Effective Forecast Range Through Consistently Trained Subgrid-scale Models?

Automation Deep Learning Machine Learning Natural Language Processing Robotics February 13, 2023

Scientists are developing new parameterization schemes to more accurately simulate weather and climate processes. Traditional turbulence parameterization models are developed based on heuristic assumptions…

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Can A Machine Learning-enabled Numerical Model Help Extend Effective Forecast Range Through Consistently Trained Subgrid-scale Models?