Numerical experiments with real data for estimating greenhouse gas fluxes in a region

Abstract

This work is devoted to the problem of obtaining an estimate of methane emissions using satellite data and the results of mathematical modeling. To implement the algorithm, a variant of the local Kalman ensemble filter (LETKF) is used, which represents an optimal estimate of the desired parameter based on observational data and a forecast based on a metematic model in a given time interval. This algorithm has properties that allow it to be used locally, i.e., to assimilate data by subdomains. The paper presents the implementation of the algorithm for real observational data and the results of mathematical modeling (calculation of the forecast of the state of the system). The results of the three-dimensional model of transport and diffusion (MOZART-4) are taken as the results of mathematical modeling, and satellite observations (AIRS data) are used as observational data. As a result of the algorithm, an average estimate of methane fluxes in the subdomain was obtained at specified time intervals.