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Targeted monitoring strategy based on variational data assimilation and decomposition of processes scales. / Penenko, Vladimir V.

22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. ed. / Oleg A. Romanovskii; Gennadii G. Matvienko. SPIE, 2016. 100355A (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10035).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Penenko, VV 2016, Targeted monitoring strategy based on variational data assimilation and decomposition of processes scales. in OA Romanovskii & GG Matvienko (eds), 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics., 100355A, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10035, SPIE, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, Tomsk, Russian Federation, 30.06.2016. https://doi.org/10.1117/12.2248868

APA

Penenko, V. V. (2016). Targeted monitoring strategy based on variational data assimilation and decomposition of processes scales. In O. A. Romanovskii, & G. G. Matvienko (Eds.), 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics [100355A] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10035). SPIE. https://doi.org/10.1117/12.2248868

Vancouver

Penenko VV. Targeted monitoring strategy based on variational data assimilation and decomposition of processes scales. In Romanovskii OA, Matvienko GG, editors, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. SPIE. 2016. 100355A. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2248868

Author

Penenko, Vladimir V. / Targeted monitoring strategy based on variational data assimilation and decomposition of processes scales. 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. editor / Oleg A. Romanovskii ; Gennadii G. Matvienko. SPIE, 2016. (Proceedings of SPIE - The International Society for Optical Engineering).

BibTeX

@inproceedings{760a15155d7a4333bfc781a2139a7e5a,
title = "Targeted monitoring strategy based on variational data assimilation and decomposition of processes scales",
abstract = "We discuss an adaptive strategy of targeted monitoring for {"}real time{"} estimating the atmospheric situation as well as the air quality changes. To this goal, we develop some theoretical aspects related to mathematical modeling of investigated processes based on observations of their actual behavior fulfilled with monitoring tools. The concept of combined analysis of the solutions of direct and adjoint problems, sensitivity and uncertainty functions is described. We use the obtained information to detect the domains of the high-energy activity and increased uncertainty in the results of prognoses to place the additional mobile tools of observation in them and (or) to configure the remote sensing instruments.",
keywords = "Adaptive strategy, Data assimilation, Decomposition of processes scales, Mathematical modeling, Targeted monitoring, Variational principle",
author = "Penenko, {Vladimir V.}",
note = "This research was partially supported by the Presidium of RAS under the Programs I. 33P and II. 2P, and by RFBR according to the project No 14-01-00125-a. Publisher Copyright: {\textcopyright} 2016 SPIE.; 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics ; Conference date: 30-06-2016 Through 03-07-2016",
year = "2016",
doi = "10.1117/12.2248868",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Romanovskii, {Oleg A.} and Matvienko, {Gennadii G.}",
booktitle = "22nd International Symposium on Atmospheric and Ocean Optics",
address = "United States",

}

RIS

TY - GEN

T1 - Targeted monitoring strategy based on variational data assimilation and decomposition of processes scales

AU - Penenko, Vladimir V.

N1 - This research was partially supported by the Presidium of RAS under the Programs I. 33P and II. 2P, and by RFBR according to the project No 14-01-00125-a. Publisher Copyright: © 2016 SPIE.

PY - 2016

Y1 - 2016

N2 - We discuss an adaptive strategy of targeted monitoring for "real time" estimating the atmospheric situation as well as the air quality changes. To this goal, we develop some theoretical aspects related to mathematical modeling of investigated processes based on observations of their actual behavior fulfilled with monitoring tools. The concept of combined analysis of the solutions of direct and adjoint problems, sensitivity and uncertainty functions is described. We use the obtained information to detect the domains of the high-energy activity and increased uncertainty in the results of prognoses to place the additional mobile tools of observation in them and (or) to configure the remote sensing instruments.

AB - We discuss an adaptive strategy of targeted monitoring for "real time" estimating the atmospheric situation as well as the air quality changes. To this goal, we develop some theoretical aspects related to mathematical modeling of investigated processes based on observations of their actual behavior fulfilled with monitoring tools. The concept of combined analysis of the solutions of direct and adjoint problems, sensitivity and uncertainty functions is described. We use the obtained information to detect the domains of the high-energy activity and increased uncertainty in the results of prognoses to place the additional mobile tools of observation in them and (or) to configure the remote sensing instruments.

KW - Adaptive strategy

KW - Data assimilation

KW - Decomposition of processes scales

KW - Mathematical modeling

KW - Targeted monitoring

KW - Variational principle

UR - http://www.scopus.com/inward/record.url?scp=85007104589&partnerID=8YFLogxK

U2 - 10.1117/12.2248868

DO - 10.1117/12.2248868

M3 - Conference contribution

AN - SCOPUS:85007104589

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

BT - 22nd International Symposium on Atmospheric and Ocean Optics

A2 - Romanovskii, Oleg A.

A2 - Matvienko, Gennadii G.

PB - SPIE

T2 - 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

Y2 - 30 June 2016 through 3 July 2016

ER -

ID: 34930511