Improving Prediction Skill of Imperfect Turbulent Models Through Statistical Response and Informatio

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  Simplified imperfect models are useful in areas like climate science where the true climate system is vastly more complicated than any conceivable approximation.Simple statistical closure models using additional damping and enhanced noise in replacement of the higher order moments are constructed for resolving turbulent systems with quadratic nonlinearities.An information consistent strategy to improve imperfect model performance ensuring statistical equilibrium fidelity and optimal model responses to different perturbations is developed in a low-order subspace.
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