Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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. ред. / Oleg A. Romanovskii; Gennadii G. Matvienko. SPIE, 2016. 100356F (Proceedings of SPIE - The International Society for Optical Engineering; Том 10035).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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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
N1 - 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: © 2016 SPIE.
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