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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 proceeding › Conference contribution › Research › peer-review
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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