прогнозування

Design And Prognostication Of Interannual Changeability Of Average Monthly Values Of Wind Speed On Crimean Peninsula Territory

On an example Simferopol' it is rotined that account during authentication of models of modern dynamics of average monthly values of speed of wind on the basis of linear multiple regression, where as their arguments the temporal rows of global climatic indexes are used, allows to get results, possessing robastnost'yu to the temporal changes in the future on 1 and 2 years, what allows them to use for prognostication of the indicated process.

Interannual changes forecast maximum and minimum average wind speed in Kirovograd

Shown that the multiple regression model interannual changes of average monthlyspeed of wind in Kirovograd in february and august, with maximal robustness to temporary shifts in the future, allow for efficient prediction of the process of preemption, at least 8 years. Decrease of the average wind speeds in the mentioned months, that happened here in the previous thirty years, from 2011 to 2017., stops that would make it more favorable prospects in regigone wind
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