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Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data. / Penenko, A. V.; Gochakov, A. V.; Antokhin, P. N.

26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. ed. / Gennadii G. Matvienko; Oleg A. Romanovskii. SPIE, 2020. 115607I (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11560).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Penenko, AV, Gochakov, AV & Antokhin, PN 2020, Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data. in GG Matvienko & OA Romanovskii (eds), 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics., 115607I, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11560, SPIE, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2020, Moscow, Russian Federation, 06.07.2020. https://doi.org/10.1117/12.2575649

APA

Penenko, A. V., Gochakov, A. V., & Antokhin, P. N. (2020). Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data. In G. G. Matvienko, & O. A. Romanovskii (Eds.), 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics [115607I] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11560). SPIE. https://doi.org/10.1117/12.2575649

Vancouver

Penenko AV, Gochakov AV, Antokhin PN. Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data. In Matvienko GG, Romanovskii OA, editors, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. SPIE. 2020. 115607I. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2575649

Author

Penenko, A. V. ; Gochakov, A. V. ; Antokhin, P. N. / Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data. 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. editor / Gennadii G. Matvienko ; Oleg A. Romanovskii. SPIE, 2020. (Proceedings of SPIE - The International Society for Optical Engineering).

BibTeX

@inproceedings{8ecf7d96efdf4eb2b79639676fa09236,
title = "Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data",
abstract = "The algorithm for source identification and concentration field reconstruction problems for an atmospheric chemistry transport and transformation model is tested with combined in situ and remote sensing data. It is based on the ensembles of the adjoint problem solutions and the sensitivity operators. Novosibirsk city traffic emissions inverse modeling scenario is used to test the algorithm.",
keywords = "Adjoint ensemble, Atmospheric chemistry, Continuation problem, In situ measurements, Novosibirsk city, Remote sensing data, Sensitivity operator, Source identification problem",
author = "Penenko, {A. V.} and Gochakov, {A. V.} and Antokhin, {P. N.}",
note = "Funding Information: The construction of the scenario for modeling, the adaptation of the algorithm to the conditions of Novosibirsk city, and numerical experiments were carried out with the financial support of the Russian Foundation for Basic Research and the Novosibirsk Region Government within the framework of the scientific project No. 19-47-540011. 2GIS Company granted the information about the road traffic intensity. The continuation problem analysis was supported by Russian Foundation for Basic Research project No. 20-01-00560. Research on the ozone transformation cycle was carried out within the framework of the Ministry of Science and Higher Education of the Russian Federation (budget funds for IOA SB RAS), project P.10.3 (state registration number AAAAA17-117021310142-5). Publisher Copyright: {\textcopyright} 2020 SPIE Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2020 ; Conference date: 06-07-2020 Through 10-07-2020",
year = "2020",
doi = "10.1117/12.2575649",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Matvienko, {Gennadii G.} and Romanovskii, {Oleg A.}",
booktitle = "26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics",
address = "United States",

}

RIS

TY - GEN

T1 - Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data

AU - Penenko, A. V.

AU - Gochakov, A. V.

AU - Antokhin, P. N.

N1 - Funding Information: The construction of the scenario for modeling, the adaptation of the algorithm to the conditions of Novosibirsk city, and numerical experiments were carried out with the financial support of the Russian Foundation for Basic Research and the Novosibirsk Region Government within the framework of the scientific project No. 19-47-540011. 2GIS Company granted the information about the road traffic intensity. The continuation problem analysis was supported by Russian Foundation for Basic Research project No. 20-01-00560. Research on the ozone transformation cycle was carried out within the framework of the Ministry of Science and Higher Education of the Russian Federation (budget funds for IOA SB RAS), project P.10.3 (state registration number AAAAA17-117021310142-5). Publisher Copyright: © 2020 SPIE Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020

Y1 - 2020

N2 - The algorithm for source identification and concentration field reconstruction problems for an atmospheric chemistry transport and transformation model is tested with combined in situ and remote sensing data. It is based on the ensembles of the adjoint problem solutions and the sensitivity operators. Novosibirsk city traffic emissions inverse modeling scenario is used to test the algorithm.

AB - The algorithm for source identification and concentration field reconstruction problems for an atmospheric chemistry transport and transformation model is tested with combined in situ and remote sensing data. It is based on the ensembles of the adjoint problem solutions and the sensitivity operators. Novosibirsk city traffic emissions inverse modeling scenario is used to test the algorithm.

KW - Adjoint ensemble

KW - Atmospheric chemistry

KW - Continuation problem

KW - In situ measurements

KW - Novosibirsk city

KW - Remote sensing data

KW - Sensitivity operator

KW - Source identification problem

UR - http://www.scopus.com/inward/record.url?scp=85097100591&partnerID=8YFLogxK

U2 - 10.1117/12.2575649

DO - 10.1117/12.2575649

M3 - Conference contribution

AN - SCOPUS:85097100591

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics

A2 - Matvienko, Gennadii G.

A2 - Romanovskii, Oleg A.

PB - SPIE

T2 - 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2020

Y2 - 6 July 2020 through 10 July 2020

ER -

ID: 26206124