Parameter and state estimation with ensemble Kalman filter based algorithms for convective‐scale applications

Representation of clouds in convection‐permitting models is sensitive to numerical weather prediction (NWP) model parameters that are often very crudely known (for example roughness length). Our goal is to allow for uncertainty in these parameters and estimate them from data using the ensemble Kalma...

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