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Determining the likely localization of methane sources using forecast time series and satellite data. / Platonova, Marina V.; Klimova, Ekaterina G.
в: CEUR Workshop Proceedings, Том 3006, 2021, стр. 323-329.Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование
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TY - JOUR
T1 - Determining the likely localization of methane sources using forecast time series and satellite data
AU - Platonova, Marina V.
AU - Klimova, Ekaterina G.
N1 - Publisher Copyright: © 2021 Copyright for this paper by its authors.
PY - 2021
Y1 - 2021
N2 - The paper is devoted to the topical problem of determining the sources of methane from observational data. An algorithm based on the statistical optimization method used to estimate a time constant parameter is considered. To implement the algorithm, a variant of ensemble smoothing is used, which is an optimal estimate of the desired parameter based on observational data and forecast for a given time interval. This paper presents the implementation of the algorithm for real observational and forecast data, the results of a three-dimensional transport and diffusion model are taken as a mathematical model, and satellite measurement data are used as observational data. Methane fluxes are estimated in subdomains of the Earth’s surface for specified time intervals. The paper contains a mathematical formulation of the problem, a scheme for its numerical implementation. The results of numerical experiments with model and real data are presented.
AB - The paper is devoted to the topical problem of determining the sources of methane from observational data. An algorithm based on the statistical optimization method used to estimate a time constant parameter is considered. To implement the algorithm, a variant of ensemble smoothing is used, which is an optimal estimate of the desired parameter based on observational data and forecast for a given time interval. This paper presents the implementation of the algorithm for real observational and forecast data, the results of a three-dimensional transport and diffusion model are taken as a mathematical model, and satellite measurement data are used as observational data. Methane fluxes are estimated in subdomains of the Earth’s surface for specified time intervals. The paper contains a mathematical formulation of the problem, a scheme for its numerical implementation. The results of numerical experiments with model and real data are presented.
KW - Forecast
KW - Methane sources
KW - Satellite data
UR - http://www.scopus.com/inward/record.url?scp=85120969691&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85120969691
VL - 3006
SP - 323
EP - 329
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
T2 - 2021 All-Russian Conference with International Participation "Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes", SDM 2021
Y2 - 24 August 2021 through 27 August 2021
ER -
ID: 34951660