Abstract
The task of estimating the greenhouse gas fluxes in the atmosphere from satellite data is relevant. This problem is solved based on a data assimilation system using a model of transport and diffusion of an impurity in the atmosphere. The paper discusses an approach to solving the problem of estimating the greenhouse gas fluxes based on the use of the ensemble Kalman filter for the global model of transport and diffusion. The paper proposes a numerical algorithm based on the decomposition of the model domain. The originality of this work is the application of the local ensemble Kalman filter algorithm. The case of this study when the greenhouse gas fluxes are considered as a variable is discussed. Here are the results of the simulated numerical experiments on the implementation of the step of analyzing the data assimilation algorithm in the case of the global model of transfer and diffusion.
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