Comparing hybrid data assimilation methods on the Lorenz 1963 model with increasing non-linearity
We systematically compare the performance of ETKF-4DVAR, 4DVAR-BEN and 4DENVAR with respect to two traditional methods (4DVAR and ETKF) and an ensemble transform Kalman smoother (ETKS) on the Lorenz 1963 model. We specifically investigated this performance with increasing non-linearity and using a q...
Main Authors: | Michael Goodliff, Javier Amezcua, Peter Jan Van Leeuwen |
---|---|
Format: | Article |
Language: | English |
Published: |
Stockholm University Press
2015-05-01
|
Series: | Tellus: Series A, Dynamic Meteorology and Oceanography |
Subjects: | |
Online Access: | http://www.tellusa.net/index.php/tellusa/article/view/26928/pdf_31 |
Similar Items
-
A weak-constraint 4DEnsembleVar. Part II: experiments with larger models
by: Michael Goodliff, et al.
Published: (2017-01-01) -
Synchronization, Control and Data Assimilation of the Lorenz System
by: Franco Bagnoli, et al.
Published: (2023-04-01) -
A Hybrid Gain Analog Offline EnKF for Paleoclimate Data Assimilation
by: Haohao Sun, et al.
Published: (2024-01-01) -
Finite time synchronization of the continuous/discrete data assimilation algorithms for Lorenz 63 system based on the back and forth nudging techniques
by: Yu Chen Peng, et al.
Published: (2023-11-01) -
A hybrid data assimilation system based on machine learning
by: Renze Dong, et al.
Published: (2023-01-01)