Modeling of the air temperature using the Extreme Value Theory for selected biomes in Mato Grosso do Sul (Brazil).

ABSTRACT: This paper aims to find probabilities of extreme values of the air temperature for the Cerrado, Pantanal and Atlantic Forest biomes in Mato Grosso do Sul in Brazil. In this case a maximum likelihood estimation was employed for the probability distributions fitting the extreme monthly air temperatures for 2007-2018. Using the Extreme Value Theory approach this work estimates three probability distributions: the Generalized Distribution of Extreme Values (GEV), the Gumbel (GUM) and the Log-Normal (LN). The Kolmogorov-Smirnov test, the corrected Akaike criterion AIC _c , the Bayesian information criterion BIC, the root of the mean square error RMSE and the determination coefficient R ² were applied to measure the goodness-of-fit.

SUBMITTER: Dos Reis CJ 

PROVIDER: S-EPMC8981891 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature