Adaptive Ensemble Covariance Localization in Ensemble 4D-VAR State Estimation
65 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/2443c66aa9b9ed6fb7a359fe47fdcbd39f86ca14
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Citations in the corpus
- A Localized Particle Filter for High-Dimensional Nonlinear Systems (2016, methodology): “Despite their limitations, techniques that rely on Gaussian assumptions have performed well for operational weather prediction and research (e.g., Buehner et al. 2010; Bishop and Hodyss 2011; Clayton et al. 2013; Kuhl et al. 2013; Wang and Lei 2014).”
- A review of operational methods of variational and ensemble‐variational data assimilation (2017, methodology): “although methods have been investigated that use adaptive (rather than imposed) moderation functions (Bishop and Hodyss, 2007, 2009a, 2011) and inflation factors that are based on innovation statistics (Bowler et al., 2008).”