Why does EnKF suffer from analysis overconfidence? An insight into exploiting the ever‐increasing volume of observations
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DOI: 10.1002/qj.3970
Abstract: Ensemble Kalman filters (EnKF) are empirically known to suffer from insufficient posterior spread and this issue is aggravated when assimilating a large volume of observations. This problem, commonly called analysis underdispersion or analysis overconfidence, has… read more here.
Keywords: analysis overconfidence; analysis; covariance; volume observations ... See more keywords