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30 November 2017 Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry
Alexey Penenko, Pavel Antokhin, Anastasia Grishina
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Proceedings Volume 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 1046674 (2017) https://doi.org/10.1117/12.2288830
Event: XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2017, Irkutsk, Russian Federation
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.
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Alexey Penenko, Pavel Antokhin, and Anastasia Grishina "Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry", Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1046674 (30 November 2017); https://doi.org/10.1117/12.2288830
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KEYWORDS
Data modeling
Atmospheric chemistry
Atmospheric modeling
Atmospheric sensing
Biological and chemical sensing
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