Abstract
Statistical models of the hail forecast are proposed for the two regions of the North Caucasus, developed from the output of the global atmosphere model GFS NCEP. Statistical schemes are obtained as a result of discriminant analysis conducted using statistical software package SPSS. Independent variables in these schemes are the most informative predictors of strong convective cloud development, calculated on the basis of the global GFS model data related to local atmospheric instability and large-scale synoptic processes. Based on the results of the operational audit, the estimates of the success of the hail forecasts according to existing criteria are given, the high values of which assume a reduction in damage from hailstorms, when using them.
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