@inproceedings{65ad49726cd74827a9de9949716bb9ab,
title = "Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry",
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.",
keywords = "advectiondiffusion-reaction model, airborne sensing profiles, atmospheric chemistry, Data assimilation, splitting scheme, variational approach, advection-diffusion-reaction model, ALGORITHMS",
author = "Alexey Penenko and Pavel Antokhin and Anastasia Grishina",
year = "2017",
month = jan,
day = "1",
doi = "10.1117/12.2288830",
language = "English",
isbn = "978-1-5106-1413-0",
volume = "10466",
series = "Proceedings of SPIE",
publisher = "SPIE",
editor = "GG Matvienko and OA Romanovskii",
booktitle = "23rd International Symposium on Atmospheric and Ocean Optics",
address = "United States",
note = "23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics ; Conference date: 03-07-2017 Through 07-07-2017",
}