A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data

Alexey V. Penenko; Zhadyra S. Mukatova

doi:10.1117/12.2504627

13 December 2018 A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data

Alexey V. Penenko, Zhadyra S. Mukatova

Author Affiliations +

Proceedings Volume 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 108338R (2018) https://doi.org/10.1117/12.2504627
Event: XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2018, Tomsk, Russian Federation

Abstract

The algorithm of source identification for atmospheric chemistry transformation models with the measurement data in the form of time series is tested numerical in the scenario with the second generation regional acid deposition model chemical mechanism. The algorithm is based on the sensitivity operator that is constructed from the ensemble of the adjoint equation solutions. This operator allows to apply algorithms for the solution of nonlinear operator equations for the solution of the inverse problem. The objective of the paper is to numerically evaluate the ability of the algorithm to solve the realistic inverse source problems with the mechanism.

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Alexey V. Penenko and Zhadyra S. Mukatova "A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data", Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108338R (13 December 2018); https://doi.org/10.1117/12.2504627

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