Covariance localisation and balance in an Ensemble Kalman Filter

By J. Kepert. 2009

133 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/6ee5469d27d1ac218f753aa1871ea73d97e97bff

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Citations in the corpus

GSI 3DVar-Based Ensemble-Variational Hybrid Data Assimilation for NCEP Global Forecast System: Single-Resolution Experiments (2013, background): “Different from Lorenc (2003), Buehner (2005), andWang et al.”
An extended specification of flow‐dependent background error variances in the Météo‐France global 4D‐Var system (2011, background): “Regarding correlations, the key issue of spurious nonzero values at long distances has been widely studied (Houtekamer and Mitchell, 1998; Buehner and Charron, 2007; Pannekoucke et al., 2007; Bishop and Hodyss, 2007; Kepert, 2009).”
Estimating near future regional corn yields by integrating multi-source observations into a crop growth model (2013, background): “A limitation of the EnKF is that the finite ensemble size will introduce sampling error into the background covariances, with severe consequences for land applications (Han and Li, 2008; Kepert, 2009).”
A review of operational methods of variational and ensemble‐variational data assimilation (2017, background): “…(and inflation) are only a partial solution to the under-sampling problem because the moderation functions can modify some important properties of the raw ensemble, e.g. its balance properties (Lorenc, 2003; Houtekamer and Mitchell, 2005; Kepert, 2009; Greybush et al., 2011; Bannister, 2015).”
Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation (2012, background): “A number of studies have pointed out that ensemble assimilation can lead to unbalanced posterior states that result in transient nonequilibrium oscillations such as gravity waves in atmospheric models (Mitchell et al. 2002; Kepert 2009; Oke et al. 2007; Greybush et al. 2011).”
Balance and Ensemble Kalman Filter Localization Techniques (2011, unknown): “Similarly, Kepert (2009) used the magnitude of the nonlinear normal mode initialization (NNMI) increment as a measure of balance.”
Adaptive Ensemble Covariance Localization in Ensemble 4D-VAR State Estimation (2011, background): “As noted by Kepert (2009), while one could expect analyses made with un-localized ensemble covariances to satisfy linear balance constraints at large scales, when localization is employed, imbalance is to be expected at all scales.”