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Sampling properties and spatial filtering of ensemble background‐error length‐scales

Background‐error length‐scales are key components of the correlation model since they give an idea of the distance over which the influence of an observation extends. The length‐scales can be estimated from an ensemble of perturbed forecasts, however the finite size of the ensembles in operational applications introduces a relatively large sampling noise on the estimated length‐scales.