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...
Guardado en:
Autor principal: | Olivier Pannekoucke |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Taylor & Francis Group
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e18e4a3c6d874b82a78ba97778e0a390 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Some quantitative characteristics of error covariance for Kalman filters
por: Wei Kang, et al.
Publicado: (2021) -
Using global Bayesian optimization in ensemble data assimilation: parameter estimation, tuning localization and inflation, or all of the above
por: Spencer Lunderman, et al.
Publicado: (2021) -
Eigenvector-spatial localisation
por: Travis Harty, et al.
Publicado: (2021) -
Impact of assimilating radar data using a hybrid 4DEnVar approach on prediction of convective events
por: Shibo Gao, et al.
Publicado: (2021) -
Scientific methods, media coverage, public awareness and climate change
por: A. Hannachi, et al.
Publicado: (2021)