An anisotropic formulation of the parametric Kalman filter assimilation
In geophysics, the direct application of covariance matrix dynamics described by the Kalman filter (KF) is limited by the high dimension of such problems. The parametric Kalman filter (PKF) is a recent alternative to the ensemble Kalman filter, where the covariance matrices are approximated by a cov...
Enregistré dans:
Auteur principal: | Olivier Pannekoucke |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Taylor & Francis Group
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/e18e4a3c6d874b82a78ba97778e0a390 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Some quantitative characteristics of error covariance for Kalman filters
par: Wei Kang, et autres
Publié: (2021) -
Using global Bayesian optimization in ensemble data assimilation: parameter estimation, tuning localization and inflation, or all of the above
par: Spencer Lunderman, et autres
Publié: (2021) -
Eigenvector-spatial localisation
par: Travis Harty, et autres
Publié: (2021) -
Impact of assimilating radar data using a hybrid 4DEnVar approach on prediction of convective events
par: Shibo Gao, et autres
Publié: (2021) -
Scientific methods, media coverage, public awareness and climate change
par: A. Hannachi, et autres
Publié: (2021)