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Extreme weather now is the biggest effect of climate change. This is also a major issue over the past decade. High heat  or hurricanes is one of the indications. Both of the natural disasters have a big impact not only for humans but also the presence of animals and their environment. Therefore modelling of the disaster, especially for prediciton extreme events is the basic need to minimize the damage and the losses. Both of the hazards come from extreme  and wind speed, respectively. Hence, in this paper will analyze this case using extreme value theory (EVT).The results show that the value of Akaike Information Criterion (AIC) from the bivariate EVT and univariate EVT are 1316.83 and 1322.33 respectively for the data from East Java. It means that the bivariate EVT model gives a better model with the dependence value 0.9.

temperature, Wind, Bivariate Extreme Value Theory