Standard
On a comparison of two schemes in sequential data assimilation. / Grishina, Anastasiia A.; Penenko, Alexey V.
Proceedings of the 8th International Conference on Mathematical Modeling, ICMM 2017. ed. / IE Egorov; SV Popov; PN Vabishchevich; MY Antonov; NP Lazarev; MS Troeva; MS Troeva; AO Ivanova; YM Grigorev. Vol. 1907 American Institute of Physics Inc., 2017. 030013 (AIP Conference Proceedings; Vol. 1907).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Grishina, AA
& Penenko, AV 2017,
On a comparison of two schemes in sequential data assimilation. in IE Egorov, SV Popov, PN Vabishchevich, MY Antonov, NP Lazarev, MS Troeva, MS Troeva, AO Ivanova & YM Grigorev (eds),
Proceedings of the 8th International Conference on Mathematical Modeling, ICMM 2017. vol. 1907, 030013, AIP Conference Proceedings, vol. 1907, American Institute of Physics Inc., 8th International Conference on Mathematical Modeling, ICMM 2017, Yakutsk, Russian Federation,
04.07.2017.
https://doi.org/10.1063/1.5012635APA
Grishina, A. A.
, & Penenko, A. V. (2017).
On a comparison of two schemes in sequential data assimilation. In IE. Egorov, SV. Popov, PN. Vabishchevich, MY. Antonov, NP. Lazarev, MS. Troeva, MS. Troeva, AO. Ivanova, & YM. Grigorev (Eds.),
Proceedings of the 8th International Conference on Mathematical Modeling, ICMM 2017 (Vol. 1907). [030013] (AIP Conference Proceedings; Vol. 1907). American Institute of Physics Inc..
https://doi.org/10.1063/1.5012635Vancouver
Grishina AA
, Penenko AV.
On a comparison of two schemes in sequential data assimilation. In Egorov IE, Popov SV, Vabishchevich PN, Antonov MY, Lazarev NP, Troeva MS, Troeva MS, Ivanova AO, Grigorev YM, editors, Proceedings of the 8th International Conference on Mathematical Modeling, ICMM 2017. Vol. 1907. American Institute of Physics Inc. 2017. 030013. (AIP Conference Proceedings). doi: 10.1063/1.5012635
Author
BibTeX
@inproceedings{86c0655f4e3d449e808d3b8a7cd593da,
title = "On a comparison of two schemes in sequential data assimilation",
abstract = "This paper is focused on variational data assimilation as an approach to mathematical modeling. Realization of the approach requires a sequence of connected inverse problems with different sets of observational data to be solved. Two variational data assimilation schemes, {"}implicit{"} and {"}explicit{"}, are considered in the article. Their equivalence is shown and the numerical results are given on a basis of non-linear Robertson system. To avoid the {"}inverse problem crime{"} different schemes were used to produce synthetic measurement and to solve the data assimilation problem.",
author = "Grishina, {Anastasiia A.} and Penenko, {Alexey V.}",
year = "2017",
month = nov,
day = "14",
doi = "10.1063/1.5012635",
language = "English",
volume = "1907",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "IE Egorov and SV Popov and PN Vabishchevich and MY Antonov and NP Lazarev and MS Troeva and MS Troeva and AO Ivanova and YM Grigorev",
booktitle = "Proceedings of the 8th International Conference on Mathematical Modeling, ICMM 2017",
note = "8th International Conference on Mathematical Modeling, ICMM 2017 ; Conference date: 04-07-2017 Through 08-07-2017",
}
RIS
TY - GEN
T1 - On a comparison of two schemes in sequential data assimilation
AU - Grishina, Anastasiia A.
AU - Penenko, Alexey V.
PY - 2017/11/14
Y1 - 2017/11/14
N2 - This paper is focused on variational data assimilation as an approach to mathematical modeling. Realization of the approach requires a sequence of connected inverse problems with different sets of observational data to be solved. Two variational data assimilation schemes, "implicit" and "explicit", are considered in the article. Their equivalence is shown and the numerical results are given on a basis of non-linear Robertson system. To avoid the "inverse problem crime" different schemes were used to produce synthetic measurement and to solve the data assimilation problem.
AB - This paper is focused on variational data assimilation as an approach to mathematical modeling. Realization of the approach requires a sequence of connected inverse problems with different sets of observational data to be solved. Two variational data assimilation schemes, "implicit" and "explicit", are considered in the article. Their equivalence is shown and the numerical results are given on a basis of non-linear Robertson system. To avoid the "inverse problem crime" different schemes were used to produce synthetic measurement and to solve the data assimilation problem.
UR - http://www.scopus.com/inward/record.url?scp=85036586061&partnerID=8YFLogxK
U2 - 10.1063/1.5012635
DO - 10.1063/1.5012635
M3 - Conference contribution
AN - SCOPUS:85036586061
VL - 1907
T3 - AIP Conference Proceedings
BT - Proceedings of the 8th International Conference on Mathematical Modeling, ICMM 2017
A2 - Egorov, IE
A2 - Popov, SV
A2 - Vabishchevich, PN
A2 - Antonov, MY
A2 - Lazarev, NP
A2 - Troeva, MS
A2 - Troeva, MS
A2 - Ivanova, AO
A2 - Grigorev, YM
PB - American Institute of Physics Inc.
T2 - 8th International Conference on Mathematical Modeling, ICMM 2017
Y2 - 4 July 2017 through 8 July 2017
ER -
