Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model

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Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model. / Penenko, Alexey; Antokhin, Pavel.

22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. ed. / Oleg A. Romanovskii; Gennadii G. Matvienko. SPIE, 2016. 100356F (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10035).

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

Harvard

Penenko, A & Antokhin, P 2016, Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model. in OA Romanovskii & GG Matvienko (eds), 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics., 100356F, 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/10.1117/12.2249060

APA

Penenko, A., & Antokhin, P. (2016). Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model. In O. A. Romanovskii, & G. G. Matvienko (Eds.), 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics [100356F] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10035). SPIE. https://doi.org/10.1117/12.2249060

Vancouver

Penenko A, Antokhin P. Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model. In Romanovskii OA, Matvienko GG, editors, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. SPIE. 2016. 100356F. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2249060

Author

Penenko, Alexey ; Antokhin, Pavel. / Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model. 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{334f99cf19324470b88eb2701305a265,

title = "Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model",

abstract = "The performance of variational data assimilation algorithm for in situ concentration measurements for transport and transformation model of atmospheric chemical composition is studied numerically in the case of indirect measurements. The algorithm is based on decomposition and splitting methods with direct solution of data assimilation problems for splitting stages. This design allows avoiding iterative processes and working in real-time. In the numerical experiments we study the sensitivity of data assimilation results to variations of measurement data quality and quantity.",

keywords = "Advection-diffusion-reaction model, Atmospheric chemistry, Indirect measurements, Splitting scheme, Variational data assimilation",

author = "Alexey Penenko and Pavel Antokhin",

note = "The work is partially supported by the Presidium of RAS under the Programs I.33P and II.2P/I.3-3; by the projects MK-8214.2016.1 and RFBR 14-01-00125. 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 = "10.1117/12.2249060",

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 - Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model

AU - Penenko, Alexey

AU - Antokhin, Pavel

PY - 2016

Y1 - 2016

N2 - The performance of variational data assimilation algorithm for in situ concentration measurements for transport and transformation model of atmospheric chemical composition is studied numerically in the case of indirect measurements. The algorithm is based on decomposition and splitting methods with direct solution of data assimilation problems for splitting stages. This design allows avoiding iterative processes and working in real-time. In the numerical experiments we study the sensitivity of data assimilation results to variations of measurement data quality and quantity.

AB - The performance of variational data assimilation algorithm for in situ concentration measurements for transport and transformation model of atmospheric chemical composition is studied numerically in the case of indirect measurements. The algorithm is based on decomposition and splitting methods with direct solution of data assimilation problems for splitting stages. This design allows avoiding iterative processes and working in real-time. In the numerical experiments we study the sensitivity of data assimilation results to variations of measurement data quality and quantity.

KW - Advection-diffusion-reaction model

KW - Atmospheric chemistry

KW - Indirect measurements

KW - Splitting scheme

KW - Variational data assimilation

UR - http://www.scopus.com/inward/record.url?scp=85007029614&partnerID=8YFLogxK

U2 - 10.1117/12.2249060

DO - 10.1117/12.2249060

M3 - Conference contribution

AN - SCOPUS:85007029614

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: 34930581