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Proceedings Paper

Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model
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Paper 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.

Paper Details

Date Published: 29 November 2016
PDF: 9 pages
Proc. SPIE 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 100356F (29 November 2016); doi: 10.1117/12.2249060
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 SB RAS (Russian Federation)

Published in SPIE Proceedings Vol. 10035:
22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Gennadii G. Matvienko; Oleg A. Romanovskii, Editor(s)

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