Adaptive Localization for Satellite Radiance Observations in an Ensemble Kalman Filter
Abstract Localization is essential to effectively assimilate satellite radiances in ensemble Kalman filters. However, the vertical location and separation from a model grid point variable for a radiance observation are not well defined, which results in complexities when localizing the impact of rad...
Main Authors: | Lili Lei, Jeffrey S. Whitaker, Jeffrey L. Anderson, Zhemin Tan |
---|---|
Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2020-08-01
|
Series: | Journal of Advances in Modeling Earth Systems |
Subjects: | |
Online Access: | https://doi.org/10.1029/2019MS001693 |
Similar Items
-
Adaptive Localization for Tropical Cyclones With Satellite Radiances in an Ensemble Kalman Filter
by: Chen Wang, et al.
Published: (2020-02-01) -
On the Efficiency of Covariance Localisation of the Ensemble Kalman Filter Using Augmented Ensembles
by: Alban Farchi, et al.
Published: (2019-02-01) -
Commentary: On the Efficiency of Covariance Localisation of the Ensemble Kalman Filter Using Augmented Ensembles
by: Craig H. Bishop, et al.
Published: (2020-03-01) -
Divergence of the Ensemble Transform Kalman Filter (LETKF) by Nonlocal Observations
by: Axel Hutt, et al.
Published: (2020-09-01) -
Parameter Estimation Using Adaptive Observations Toward Maximum Total Variance Reduction With Ensemble Adjustment Kalman Filter
by: Zheqi Shen, et al.
Published: (2022-04-01)