Determining the likely localization of methane sources using forecast time series and satellite data

Standard

Determining the likely localization of methane sources using forecast time series and satellite data. / Platonova, Marina V.; Klimova, Ekaterina G.

In: CEUR Workshop Proceedings, Vol. 3006, 2021, p. 323-329.

Research output: Contribution to journal › Conference article › peer-review

BibTeX

@article{4f665b50c7ef41ef8a5d40bcfc577c75,

title = "Determining the likely localization of methane sources using forecast time series and satellite data",

abstract = "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{\textquoteright}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.",

keywords = "Forecast, Methane sources, Satellite data",

author = "Platonova, {Marina V.} and Klimova, {Ekaterina G.}",

note = "Publisher Copyright: {\textcopyright} 2021 Copyright for this paper by its authors.; 2021 All-Russian Conference with International Participation {"}Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes{"}, SDM 2021 ; Conference date: 24-08-2021 Through 27-08-2021",

year = "2021",

language = "English",

volume = "3006",

pages = "323--329",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

}

RIS

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.

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