Explores theoretical and data-driven closures for ocean mesoscale eddies and examines their connections using analytical and data-driven methods.
N., 2001: A nonlinear dynamical perspective on model error: A proposal for non‐ local stochastic‐dynamic parametrization in weather and climate prediction models
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CNN post-processing applied member-wise to a 51-member 40-km NWP ensemble creates a 5-km high-resolution ensemble forecast system with improved deterministic accuracy and probabilistic reliability for surface temperatures.
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Towards bridging the gap between data-driven and theoretical turbulence closures in stratified flows
Explores theoretical and data-driven closures for ocean mesoscale eddies and examines their connections using analytical and data-driven methods.