Sequential variational data assimilation

A. V. Penenko

doi:10.1117/12.675876

21 April 2006 Sequential variational data assimilation

A. V. Penenko

Proceedings Volume 6160, Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics; 61602D (2006) https://doi.org/10.1117/12.675876
Event: Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 2005, Tomsk, Russian Federation

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.

Citation Download Citation

A. V. Penenko "Sequential variational data assimilation", Proc. SPIE 6160, Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 61602D (21 April 2006); https://doi.org/10.1117/12.675876

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