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

Alexey Penenko; Pavel Antokhin

doi:10.1117/12.2249060

29 November 2016 Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model

Alexey Penenko, Pavel Antokhin

Author Affiliations +

Proceedings Volume 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 100356F (2016) https://doi.org/10.1117/12.2249060
Event: XXII International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, 2016, Tomsk, Russian Federation

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.

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Alexey Penenko and Pavel Antokhin "Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model", Proc. SPIE 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 100356F (29 November 2016); https://doi.org/10.1117/12.2249060

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