scholarly journals Overview: Data Assimilation and Model Reduction

PAMM ◽  
2007 ◽  
Vol 7 (1) ◽  
pp. 1026501-1026502
Author(s):  
N.K. Nichols
Keyword(s):  
Data Assimilation ◽  
Model Reduction

The effects of model reduction and data assimilation on greenhouse climate predictions

2017 ◽  
pp. 235-242
Author(s):  
S. van Mourik ◽  
P.J.M. van Beveren ◽  
I.L. López-Cruz ◽  
E.J. van Henten
Keyword(s):  
Data Assimilation ◽  
Model Reduction ◽  
Greenhouse Climate

Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems

2007 ◽  
pp. 1010-1017
Author(s):  
Omar Bashir ◽  
Omar Ghattas ◽  
Judith Hill ◽  
Bart van Bloemen Waanders ◽  
Karen Willcox
Keyword(s):  
Data Assimilation ◽  
Model Reduction ◽  
Large Scale ◽  
Large Scale Data ◽  
Scale Data

Using Model Reduction Methods within Incremental Four-Dimensional Variational Data Assimilation

2008 ◽  
Vol 136 (4) ◽  
pp. 1511-1522 ◽  
Author(s):  
A. S. Lawless ◽  
N. K. Nichols ◽  
C. Boess ◽  
A. Bunse-Gerstner
Keyword(s):  
Data Assimilation ◽  
Model Reduction ◽  
Variational Data Assimilation ◽  
Superior Performance ◽  
Water Model ◽  
Computationally Efficient ◽  
Full System ◽  
Ocean Data Assimilation ◽  
Reduction Techniques ◽  
Reduction Methods

Abstract Incremental four-dimensional variational data assimilation is the method of choice in many operational atmosphere and ocean data assimilation systems. It allows the four-dimensional variational data assimilation (4DVAR) to be implemented in a computationally efficient way by replacing the minimization of the full nonlinear 4DVAR cost function with the minimization of a series of simplified cost functions. In practice, these simplified functions are usually derived from a spatial or spectral truncation of the full system being approximated. In this paper, a new method is proposed for deriving the simplified problems in incremental 4DVAR, based on model reduction techniques developed in the field of control theory. It is shown how these techniques can be combined with incremental 4DVAR to give an assimilation method that retains more of the dynamical information of the full system. Numerical experiments using a shallow-water model illustrate the superior performance of model reduction to standard truncation techniques.

Integral Control Data Assimilation in Wave Predictions

1997 ◽  
Author(s):  
L.H. Holthuijsen ◽  
N. Booij ◽  
M. van Endt ◽  
S. Caires ◽  
C. Guedes Soares
Keyword(s):  
Data Assimilation ◽  
Control Data ◽  
Integral Control
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