The results of studying a modified dynamical-stochastic algorithm for ultra short-term forecast based on the Kalman filtering and the 2-D regression model, are presented. The modified algorithm efficiency (relative to the initial one) as applied to the air temperature and wind is estimated based on the radiometric and sodar measurements.