Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry

Standard

Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry. / Penenko, Alexey; Antokhin, Pavel; Grishina, Anastasia.

23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. ed. / GG Matvienko; OA Romanovskii. Vol. 10466 SPIE, 2017. 1046674 (Proceedings of SPIE; Vol. 10466).

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

Harvard

Penenko, A, Antokhin, P & Grishina, A 2017, Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry. in GG Matvienko & OA Romanovskii (eds), 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. vol. 10466, 1046674, Proceedings of SPIE, vol. 10466, SPIE, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, Irkutsk, Russian Federation, 03.07.2017. https://doi.org/10.1117/12.2288830

APA

Penenko, A., Antokhin, P., & Grishina, A. (2017). Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry. In GG. Matvienko, & OA. Romanovskii (Eds.), 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics (Vol. 10466). [1046674] (Proceedings of SPIE; Vol. 10466). SPIE. https://doi.org/10.1117/12.2288830

Vancouver

Penenko A, Antokhin P, Grishina A. Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry. In Matvienko GG, Romanovskii OA, editors, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Vol. 10466. SPIE. 2017. 1046674. (Proceedings of SPIE). doi: 10.1117/12.2288830

Author

Penenko, Alexey ; Antokhin, Pavel ; Grishina, Anastasia. / Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry. 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. editor / GG Matvienko ; OA Romanovskii. Vol. 10466 SPIE, 2017. (Proceedings of SPIE).

BibTeX

@inproceedings{65ad49726cd74827a9de9949716bb9ab,

title = "Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry",

abstract = "The variational data assimilation algorithm for the atmospheric chemistry transport and transformation model is applied to the airborne sensing profiles of chemical substances concentration. The data assimilation is performed quasiindependently on the separate stages of the splitting scheme. For the linear transport stage the direct algorithm is used. In the nonlinear transformation stage an iterative gradient-type one is applied. In the numerical experiment the realistic scenario of vertical ozone concentration profiles assimilation has been considered.",

keywords = "advectiondiffusion-reaction model, airborne sensing profiles, atmospheric chemistry, Data assimilation, splitting scheme, variational approach, advection-diffusion-reaction model, ALGORITHMS",

author = "Alexey Penenko and Pavel Antokhin and Anastasia Grishina",

note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics ; Conference date: 03-07-2017 Through 07-07-2017",

year = "2017",

month = jan,

day = "1",

doi = "10.1117/12.2288830",

language = "English",

isbn = "978-1-5106-1413-0",

volume = "10466",

series = "Proceedings of SPIE",

publisher = "SPIE",

editor = "GG Matvienko and OA Romanovskii",

booktitle = "23rd International Symposium on Atmospheric and Ocean Optics",

address = "United States",

}

RIS

TY - GEN

T1 - Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry

AU - Penenko, Alexey

AU - Antokhin, Pavel

AU - Grishina, Anastasia

PY - 2017/1/1

Y1 - 2017/1/1

N2 - The variational data assimilation algorithm for the atmospheric chemistry transport and transformation model is applied to the airborne sensing profiles of chemical substances concentration. The data assimilation is performed quasiindependently on the separate stages of the splitting scheme. For the linear transport stage the direct algorithm is used. In the nonlinear transformation stage an iterative gradient-type one is applied. In the numerical experiment the realistic scenario of vertical ozone concentration profiles assimilation has been considered.

AB - The variational data assimilation algorithm for the atmospheric chemistry transport and transformation model is applied to the airborne sensing profiles of chemical substances concentration. The data assimilation is performed quasiindependently on the separate stages of the splitting scheme. For the linear transport stage the direct algorithm is used. In the nonlinear transformation stage an iterative gradient-type one is applied. In the numerical experiment the realistic scenario of vertical ozone concentration profiles assimilation has been considered.

KW - advectiondiffusion-reaction model

KW - airborne sensing profiles

KW - atmospheric chemistry

KW - Data assimilation

KW - splitting scheme

KW - variational approach

KW - advection-diffusion-reaction model

KW - ALGORITHMS

UR - http://www.scopus.com/inward/record.url?scp=85043332501&partnerID=8YFLogxK

U2 - 10.1117/12.2288830

DO - 10.1117/12.2288830

M3 - Conference contribution

AN - SCOPUS:85043332501

SN - 978-1-5106-1413-0

VL - 10466

T3 - Proceedings of SPIE

BT - 23rd International Symposium on Atmospheric and Ocean Optics

A2 - Matvienko, GG

A2 - Romanovskii, OA

PB - SPIE

T2 - 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

Y2 - 3 July 2017 through 7 July 2017

ER -

ID: 10454010