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This talk is about estimating model error as a measure of reliability and robustness in numerical weather prediction and climate science, via a stochastic variational principle. One of the questions it answers is, “How does stochasticity affect the Kelvin circulation theorem?” The methods apply widely in GFD. Examples will be given.
