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Proceedings Paper

Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry
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Paper Abstract

The variational data assimilation algorithm for the atmospheric chemistry transport and transformation model is applied to the airborne sensing profiles of chemical substances concentration. The data assimilation is performed quasiindependently on the separate stages of the splitting scheme. For the linear transport stage the direct algorithm is used. In the nonlinear transformation stage an iterative gradient-type one is applied. In the numerical experiment the realistic scenario of vertical ozone concentration profiles assimilation has been considered.

Paper Details

Date Published: 30 November 2017
PDF: 5 pages
Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1046674 (30 November 2017); doi: 10.1117/12.2288830
Show Author Affiliations
Alexey Penenko, Institute of Computational Mathematics and Mathematical Geophysics (Russian Federation)
Novosibirsk State Univ. (Russian Federation)
Pavel Antokhin, V.E. Zuev Institute of Atmospheric Optics (Russian Federation)
Anastasia Grishina, Novosibirsk State Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 10466:
23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Gennadii G. Matvienko; Oleg A. Romanovskii, Editor(s)

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