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

A. V. Penenko; A. V. Gochakov; P. N. Antokhin

doi:10.1117/12.2540901

18 December 2019 Numerical study of an algorithm for air pollution sources identification with in situ and remote sensing measurement data

A. V. Penenko, A. V. Gochakov, P. N. Antokhin

Author Affiliations +

Proceedings Volume 11208, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 112085B (2019) https://doi.org/10.1117/12.2540901
Event: XXV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2019, Novosibirsk, Russian Federation

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.

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A. V. Penenko, A. V. Gochakov, and P. N. Antokhin "Numerical study of an algorithm for air pollution sources identification with in situ and remote sensing measurement data", Proc. SPIE 11208, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 112085B (18 December 2019); https://doi.org/10.1117/12.2540901

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