A dual data assimilation method for a layered quasi-geostrophic ocean model.

Didier Auroux; Jacques Blum

RACSAM (2002)

  • Volume: 96, Issue: 3, page 315-320
  • ISSN: 1578-7303

Abstract

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In this paper we introduce the equations of a layered quasi-geostrophic ocean model, and the corresponding data assimilation problem. We first give the variational formulation. We then point out the linear theory of duality. Finally, we apply duality to our nonlinear model by describing an algorithm to solve the data assimilation problem, introducing a dual cost function and a simple way to compute its gradient.

How to cite

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Auroux, Didier, and Blum, Jacques. "A dual data assimilation method for a layered quasi-geostrophic ocean model.." RACSAM 96.3 (2002): 315-320. <http://eudml.org/doc/41633>.

@article{Auroux2002,
abstract = {In this paper we introduce the equations of a layered quasi-geostrophic ocean model, and the corresponding data assimilation problem. We first give the variational formulation. We then point out the linear theory of duality. Finally, we apply duality to our nonlinear model by describing an algorithm to solve the data assimilation problem, introducing a dual cost function and a simple way to compute its gradient.},
author = {Auroux, Didier, Blum, Jacques},
journal = {RACSAM},
keywords = {Oceanografía física; Viento geostrófico; Dualidad; Problemas variacionales},
language = {eng},
number = {3},
pages = {315-320},
title = {A dual data assimilation method for a layered quasi-geostrophic ocean model.},
url = {http://eudml.org/doc/41633},
volume = {96},
year = {2002},
}

TY - JOUR
AU - Auroux, Didier
AU - Blum, Jacques
TI - A dual data assimilation method for a layered quasi-geostrophic ocean model.
JO - RACSAM
PY - 2002
VL - 96
IS - 3
SP - 315
EP - 320
AB - In this paper we introduce the equations of a layered quasi-geostrophic ocean model, and the corresponding data assimilation problem. We first give the variational formulation. We then point out the linear theory of duality. Finally, we apply duality to our nonlinear model by describing an algorithm to solve the data assimilation problem, introducing a dual cost function and a simple way to compute its gradient.
LA - eng
KW - Oceanografía física; Viento geostrófico; Dualidad; Problemas variacionales
UR - http://eudml.org/doc/41633
ER -

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