@inproceedings{334f99cf19324470b88eb2701305a265,
title = "Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model",
abstract = "The performance of variational data assimilation algorithm for in situ concentration measurements for transport and transformation model of atmospheric chemical composition is studied numerically in the case of indirect measurements. The algorithm is based on decomposition and splitting methods with direct solution of data assimilation problems for splitting stages. This design allows avoiding iterative processes and working in real-time. In the numerical experiments we study the sensitivity of data assimilation results to variations of measurement data quality and quantity.",
keywords = "Advection-diffusion-reaction model, Atmospheric chemistry, Indirect measurements, Splitting scheme, Variational data assimilation",
author = "Alexey Penenko and Pavel Antokhin",
note = "The work is partially supported by the Presidium of RAS under the Programs I.33P and II.2P/I.3-3; by the projects MK-8214.2016.1 and RFBR 14-01-00125. Publisher Copyright: {\textcopyright} 2016 SPIE.; 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics ; Conference date: 30-06-2016 Through 03-07-2016",
year = "2016",
doi = "10.1117/12.2249060",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Romanovskii, {Oleg A.} and Matvienko, {Gennadii G.}",
booktitle = "22nd International Symposium on Atmospheric and Ocean Optics",
address = "United States",
}