Balance and Ensemble Kalman Filter Localization Techniques

2011

195 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/9766b4b0cc72fd0eb1f93fe8a1d19a89d764dd9d

Citations in the corpus

Localization and regularization for iterative ensemble smoothers (2017, unknown): “This is consistent with what has been observed with local data [16, 22].”
The Hybrid Local Ensemble Transform Kalman Filter (2014, unknown): “For example, a hybrid system based on the developmental work of Barker (1999), Hamill and Snyder (2000), Lorenc (2003), Buehner (2005), Buehner et al. (2010a,b), andWang et al. (2007a,b, 2008a,b, 2013) has recently been implemented at the National Centers for Environmental Prediction (NCEP) for use…”
A review of operational methods of variational and ensemble‐variational data assimilation (2017, unknown): “…(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).”
The Gaussian Approach to Adaptive Covariance Inflation and Its Implementation with the Local Ensemble Transform Kalman Filter (2011, unknown): “This has a similar effect as covariance localization of r + Pf, but is not equivalent (Miyoshi and Yamane 2007; Campbell et al. 2010; Greybush et al. 2011).”
Data assimilation in the geosciences: An overview of methods, issues, and perspectives (2017, unknown): “Another important point to mention is the physical imbalance that may result from the gluing of local analyses and from the true long-distance correlations that have necessarily been discarded in the localization process (Greybush et al., 2011; Kepert, 2009).”
Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation (2012, unknown): “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).”