An efficient ensemble Kalman filter implementation via shrinkage covariance matrix estimation: exploiting prior knowledge
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Publication:2027172
DOI10.1007/s10596-021-10035-4zbMath1460.86042OpenAlexW3131511344MaRDI QIDQ2027172
Andres Yarce, O. L. Quintero, Santiago Lopez-Restrepo, Arjo Segers, Nicolas Pinel, Luis G. Guzman-Reyes, Arnold W. Heemink, Elias D. Nino Ruiz
Publication date: 25 May 2021
Published in: Computational Geosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10596-021-10035-4
data assimilationensemble Kalman filterair qualitybackground error covariance matrixchemical transport model
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Cites Work
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- Chapter 2: Optimal control and variational data assimilation
- An adjoint-free four-dimensional variational data assimilation method via a modified Cholesky decomposition and an iterative Woodbury matrix formula
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