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A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data
Author(s): Alexey V. Penenko; Zhadyra S. Mukatova
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Paper 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.

Paper Details

Date Published: 13 December 2018
PDF: 5 pages
Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108338R (13 December 2018); doi: 10.1117/12.2504627
Show Author Affiliations
Alexey V. Penenko, Institute of Computational Mathematics and Mathematical Geophysics (Russian Federation)
Novosibirsk State University (Russian Federation)
Zhadyra S. Mukatova, Novosibirsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10833:
24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Gennadii G. Matvienko; Oleg A. Romanovskii, Editor(s)

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