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	Provedor de dados Bragantia (2) Autor Blain,Gabriel Constantino (2) Xavier,Ana Carolina Freitas (2) Fontolan,Mariana (1) Morais,Marcos Vinicius Bueno de (1) Pereira,Heloisa Ramos (1) Sobierajski,Graciela da Rocha (1) Mais... Palavra-chave Climate change (1) Downscaling (1) Eta model (1) GEV (1) Local impacts (1) MIROC5 (1) Monte Carlo (1) Nested models (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2019 (2) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Using climate change models to assess the probability of weather extremes events: a local scale study based on the generalized extreme value distribution Bragantia Fontolan,Mariana; Xavier,Ana Carolina Freitas; Pereira,Heloisa Ramos; Blain,Gabriel Constantino. ABSTRACT Regional climate models (e.g. Eta) nested to global climate models (e.g. HadGEM2-ES and MIROC5) have been used to assess potential impacts of climate change at regional scales. This study used the generalized extreme value distribution (GEV) to evaluate the ability of two nested models (Eta-HadGEM2-ES and Eta-MIROC5) to assess the probability of daily extremes of air temperature and precipitation in the location of Campinas, state of São Paulo, Brazil. Within a control run (1961-2005), correction factors based on the GEV parameters have been proposed to approach the distributions generated from the models to those built from the weather station of Campinas. Both models were also used to estimate the probability of daily extremes of air temperature... Tipo: Info:eu-repo/semantics/article Palavras-chave: Climate change; Local impacts; Eta model; Nested models. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000100146 Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the influence of different numbers of GEV-models Bragantia Xavier,Ana Carolina Freitas; Blain,Gabriel Constantino; Morais,Marcos Vinicius Bueno de; Sobierajski,Graciela da Rocha. ABSTRACT The selection of an appropriate nonstationary Generalized Extreme Value (GEV) distribution is frequently based on methods, such as Akaike information criterion (AIC), second-order Akaike information criterion (AICc), Bayesian information criterion (BIC) and likelihood ratio test (LRT). Since these methods compare all GEV-models considered within a selection process, the hypothesis that the number of candidate GEV-models considered in such process affects its own outcomehas been proposed. Thus, this study evaluated the performance of these four selection criteria as function of sample sizes, GEV-shape parameters and different numbers candidate GEV-models. Synthetic series generated from Monte Carlo experiments and annual maximum daily rainfall... Tipo: Info:eu-repo/semantics/article Palavras-chave: Monte Carlo; GEV; MIROC5; Downscaling. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000400606 Registros recuperados: 2 Primeira ... 1 ... Última

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