The results obtained by application of the dynamic-stochastic method, based on the use of Kalman filtering algorithm and two-dimensional regression model, to the problem of ultra short-term forecast of temperature and wind in the atmospheric boundary layer from the data of radiometric and sodar measurements are discussed.