Covariance Matrix Estimation for Ensemble-Based Kalman Filters with Multiple Ensembles
Author:
Funder
Fondation Sciences et Technologies pour l’ Aéronautique et l’Espace
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s11004-023-10063-z.pdf
Reference39 articles.
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2. Anderson J, Anderson S (1999) A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts. Mon Weather Rev 127:2741–2758
3. Barth A, Alvera-Azcàrate A, Beckers JM, Vandenbulcke L (2007) Multigrid state vector for data assimilation in a two-way nested model of the Ligurian Sea. J Mar Syst 65:41–59
4. Besson O, Bidon S, Tourneret JY (2008) Covariance matrix estimation with heterogeneous samples. IEEE Trans Signal Process 56(3):909–920
5. Bishop C, Etherton B, Majumdar S (2001) Adaptive sampling with the ensemble transform Kalman filter. Part I: theoretical aspects. Mon Weather Rev 129:420–436
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