DATA ASSIMILATION METHOD FOR THE TASK OF PASSIVE IMPURITY PROPAGATION IN THE ATMOSPHERE BASED ON A DYNAMIC-STOCHASTIC APPROACH

In this paper, we consider the method of data assimilation for the problem the propagation of the concentration a passive impurity in the atmosphere. Classical approaches to solving such problems are described, features of the application of algorithms, their minuses and pros. Two algorithms are considered: the ensemble Kalman filter and the ensemble Kalmans moother. Various ways to improve the convergence of these algorithms, such as localization and inflation factor, are considered.