Open AccessDetermining the likely localization of methane sources using forecast time series and satellite data
Author(s) -
M. V. Platonova,
Е. Г. Климова
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.25743/sdm.2021.70.91.039
Subject(s) - smoothing , computer science , time series , satellite , series (stratigraphy) , interval (graph theory) , algorithm , data mining , mathematical optimization , meteorology , remote sensing , mathematics , machine learning , geology , engineering , paleontology , combinatorics , computer vision , aerospace engineering , physics
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.