Efficiency of a POD-based reduced second-order adjoint model in 4 D-Var data assimilation

@inproceedings{Daescu2006EfficiencyOA,
  title={Efficiency of a POD-based reduced second-order adjoint model in 4 D-Var data assimilation},
  author={Dacian N. Daescu and Ionel Michael Navon},
  year={2006}
}
Order reduction strategies aim to alleviate the computational burden of the four-dimensional variational data assimilation by performing the optimization in a low-order control space. The proper orthogonal decomposition (POD) approach to model reduction is used to identify a reduced-order control space for a two-dimensional global shallow water model. A reduced second-order adjoint (SOA) model is developed and used to facilitate the implementation of a Hessian-free truncated-Newton (HFTN… CONTINUE READING
24 Citations
49 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 24 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 49 references

A preconditioning algorithm for four-dimensional variational data assimilation

  • M. Zupanski
  • Monthly Weather Review
  • 1996
Highly Influential
5 Excerpts

Semi-Lagrangian integration of a gridpoint shallow water model on the sphere

  • A McDonald, Bates
  • Monthly Weather Review
  • 1989
Highly Influential
6 Excerpts

Preconditioning of truncated-Newton methods

  • SG Nash
  • SIAM Journal on Scientific and Statistical…
  • 1985
Highly Influential
6 Excerpts

Perspectives in Flow Control and Optimization

  • Gunzburger
  • Advances in Design and Control,
  • 2003
Highly Influential
3 Excerpts

Assimilation variationnelle de donées en océanographie et réduction de la dimension 23 de l ’ espace de contrôle

  • E Blayo, J Blum, J Verron
  • Equations aux Dérivées Partielles et Applications
  • 2006

Similar Papers

Loading similar papers…