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Stochastic simulation of the spatio-temporal field of the average daily heat index in Southern Russia

Nina Kargapolova*

*Corresponding author:

ABSTRACT: In this paper, two numerical stochastic models of the spatio-temporal non-Gaussian field of the average daily heat index are considered. The field is simulated on an irregular grid determined by the location of the weather stations. The first model is based on the method of the inverse distribution function. The second model is constructed using the normalization method. Both to determine the input parameters of the models proposed and to verify the models in question, the real data collected at the weather stations located in Southern Russia are used. It is shown that the first model reproduces the properties of the real field of the average daily heat index more precisely in comparison with the second one, but the numerical implementation of the first model is significantly more time consuming.