ASSESSING MODEL DATA APPLIED FOR AGROCLIMATE PREDICTION IN THE CZECH REPUBLIC

The goal of this study is assessing of five data sets (air temperature, relative air humidity, precipitation, sunshine duration and wind speed), generated by climatic model ALLADIN and corrected with fractile method. The comparison between model data and measured data in the standard period 1961-1990 was made to get to know how the model data simulate climate. There were assessed data sets from 131 grids, spread in the Czech Republic in 25 x 25 km network. There was found, that the model data deviate from the measured data and the first one slightly underestimate reality in general. The best agreement between both data sets is in the case of air temperature and wind speed: average difference is 0,03 degrees C and 0,02 m/s respectively. The deviations of following elements are acceptable. There is possible to qualify scenario data as usable in agroclimate prediction.