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Proceedings Paper

Sequential variational data assimilation
Author(s): A. V. Penenko
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Paper Abstract

The algorithm of variational data assimilation in real time [1] is considered. It is a modification of the general algorithm of inverse modeling [2,3] under condition that the time interval of data assimilation is equal to one step of discretization of the model of processes and target functional. The purpose of work is to carry out investigation of the quality of numerical schemes and algorithms of this technique taking one and two-dimensional non-stationary models of advective - diffusive transport of pollutants in the atmosphere as examples. The comparison of data assimilation schemes based on the time-local adjoint problems with Kalman type algorithms show the advantage of the former in efficiency and labor cost. Some numerical results are presented.

Paper Details

Date Published: 21 April 2006
PDF: 10 pages
Proc. SPIE 6160, Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 61602D (21 April 2006); doi: 10.1117/12.675876
Show Author Affiliations
A. V. Penenko, Institute of Computational Mathematics and Mathematical Geophysics (Russia)

Published in SPIE Proceedings Vol. 6160:
Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics
Gelii A. Zherebtsov; Gennadii G. Matvienko, Editor(s)

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