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Numerical study of an algorithm for air pollution sources identification with in situ and remote sensing measurement data
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Paper Abstract

The results of the inverse source problem solution for an atmospheric chemistry transport and transformation model for in situ and remote sensing measurement data are compared. The algorithm based on the ensembles of the adjoint problem solutions is applied to solve the inverse problem. The solutions are compared in the Novosibirsk city inverse modeling scenario.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11208, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 112085B (18 December 2019); doi: 10.1117/12.2540901
Show Author Affiliations
A. V. Penenko, Institute of Computational Mathematics and Mathematical Geophysics (Russian Federation)
Novosibirsk State Univ. (Russian Federation)
A. V. Gochakov, Siberian Regional Scientific-Research Hydrometeorological Institute (Russian Federation)
P. N. Antokhin, V. E. Zuev Institute of Atmospheric Optics (Russian Federation)


Published in SPIE Proceedings Vol. 11208:
25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Oleg A. Romanovskii; Gennadii G. Matvienko, Editor(s)

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