Conservation of Mass and Preservation of Positivity with Ensemble-Type Kalman Filter Algorithms
This paper considers the incorporation of constraints to enforce physically based conservation laws in the ensemble Kalman filter. In particular, constraints are used to ensure that the ensemble members and the ensemble mean conserve mass and remain nonnegative through measurement updates. In certai...
Main Authors: | Janjic, Tijana (Contributor), McLaughlin, Dennis (Contributor), Cohn, Stephen E. (Author), Verlaan, Martin (Author) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering (Contributor) |
Format: | Article |
Language: | English |
Published: |
American Meteorological Society,
2014-09-24T17:03:35Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Efficient Characterization of Uncertain Model Parameters with a Reduced-Order Ensemble Kalman Filter
by: Lin, Binghuai, et al.
Published: (2014) -
The role of model dynamics in ensemble Kalman filter performance for chaotic systems
by: NG, GENE-HUA CRYSTAL, et al.
Published: (2014) -
Distributed ensemble Kalman filtering
by: Shahid, Arslan
Published: (2014) -
Ensemble clustering in deterministic ensemble Kalman filters
by: Javier Amezcua, et al.
Published: (2012-07-01) -
A Mass Conservative Kalman Filter Algorithm for Computational Thermo-Fluid Dynamics
by: Carolina Introini, et al.
Published: (2018-11-01)