A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering

The Ensemble Kalman Filters (EnKF) employ a Monte-Carlo approach to represent covariance information, and are affected by sampling errors in operational settings where the number of model realizations is much smaller than the model state dimension. To alleviate the effects of these errors EnKF relie...

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Bibliographic Details
Main Authors: Andrey A. Popov, Adrian Sandu, Elias D. Nino-Ruiz, Geir Evensen
Format: Article
Language:English
Published: Stockholm University Press 2023-04-01
Series:Tellus: Series A, Dynamic Meteorology and Oceanography
Subjects:
Online Access:https://account.a.tellusjournals.se/index.php/su-j-tadmo/article/view/214