We consider the methodological basis and investigation results of an algorithm for numerical retrieval of temperature and wind fields in the meso-β-scale area. The algorithm is realized by data of a single aerologic station and a local net of meteorological stations with the use of the Kalman filtering and two-dimension dynamic-stochastic model.
Kalman filter, 2D dynamical-stochastic model, temperature, wind, numerical modeling