Estimation of Surface Methane Concentration based on the Ensemble Kalman Filter Algorithm using a Transport Chemical Model

The article presents the results of numerical experiments using model data to estimate ground-level methane concentrations using the MOZART-4 model. Various approaches to integrating observational data and their application to various scientific and practical applications are discussed, including monitoring and analysis of methane sources, both anthropogenic and natural. These results illustrates the practical use of data assimilation to collect statistical data on the dynamics of emissions activity in specific subregions, which can be useful for estimating activity levels and processing large data sets to identify the most interesting and potentially promising areas for obtaining more detailed data analysis.