Abstract
During the warm period of year the physics – statistical forecasting models of this size allows to develop identification of synchronous and asynchronous correlative communications of seasonal rainfall with various characteristics of circulation of the atmosphere.The main goal of the study is to evaluate and compare the synchronous and asynchronous statistical relationships of mean seasonal precipitation in Eastern Kazakhstan with the baric fields at the grid nodes of the Northern Hemisphere and the circulation characteristics. Such characteristics were taken: the index of the North Atlantic Oscillation and the number of days with circulation types according to M.Kh. Baidal, which can be used in physical and statistical forecast models. Physical and statistical forecast models of different weather characteristics areoften created on the basis of linear multiple regression equations that contain a certain set of predictors.The physical aspect of selecting predictors for the multiple regression equation in precipitation predictionproblems is quite diverse. Such relationships are often established by calculating the correlationcoefficients between the predicted value and the predictors included in the regression equation thathave a significant correlation relationship. In the study, the correlation of averaged over the territory ofseasonal precipitation in the east of Kazakhstan with different circulation characteristics was evaluated.The average averaged seasonal precipitation amounts averaged over the territory of East Kazakhstan accordingto the classes «less than the norm», «norm» and «above the norm» were done, the frequency ofeach class was determined and a catalog of years with an excess of seasonal precipitation exceeding 1.2Sx was compiled.