@inproceedings{a2448c245e0745e3b03de3e70b2c43e6,
title = "A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data",
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.",
keywords = "adjoint equations ensemble, chemical transformation model, inverse source problem, Newton-Kantorovich method, RADM2, sensitivity operator",
author = "Penenko, {Alexey V.} and Mukatova, {Zhadyra S.}",
year = "2018",
month = jan,
day = "1",
doi = "10.1117/12.2504627",
language = "English",
volume = "10833",
series = "Proceedings of SPIE",
publisher = "SPIE",
editor = "Romanovskii, {Oleg A.} and Matvienko, {Gennadii G.}",
booktitle = "24th International Symposium on Atmospheric and Ocean Optics",
address = "United States",
note = "24th International Symposium on Atmospheric and Ocean Optics - Atmospheric Physics ; Conference date: 02-07-2018 Through 05-07-2018",
}