Summary:

Progress which can be observed in measuring instruments, calculation techniques, and it in general has considerably influenced the accuracy of mea-surements and as such has proved to be useful in weather forecasting. Agriculture seems to be the most dependent on weather conditions, therefore agrometeorolog-ical forecasting plays an important role in the whole system of decision making re-lated to agriculture and plant protection. A high level of verifiability of weather forecasting is the basic and required condition. The aim of the presented analyses was estimation of the quality of forecasting worked out with mesoscale numerical models. The accuracy of the forecasts (maximum, minimum and mean temperature, rainfall) was compared with the data obtained by automatic meteorological stations for Skierniewice (51º 57' N, 20º08' E), Biała Rządowa (51º 15' N, 18º 27' E) and Białousy (53º 24' N, 23º 13' E). The quality of forecasting was evaluated for the three stations using numerical models: UM and COAMPS. The forecasts were worked out at ICM of Warsaw University. Additionally, another forecast for Skierniewice prepared by Meteoblue from Switzerland, where NOAA/NCEP GFA model was used. The presented evaluation of the forecast of temperature and rain-fall showed a significant space and time diversity between the forecasted and measured values. On the basis of the evaluation carried out in the vegetative season of 2010, the most credible forecasts were obtained using UM model.