Spatiotemporal Analysis of Extreme Rainfall Frequency in the Northeast Region of Brazil

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorNatal-
Autor(es): dc.contributorFederal University of Piauí-
Autor(es): dc.contributorFederal University of Rio Grande do Norte-
Autor(es): dc.contributorIFRN-
Autor(es): dc.contributorISI-ER—SENAI Innovation Institute for Renewable Energies-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorMorales, Fidel Ernesto Castro-
Autor(es): dc.creatorRodrigues, Daniele Torres-
Autor(es): dc.creatorMarques, Thiago Valentim-
Autor(es): dc.creatorAmorim, Ana Cleide Bezerra-
Autor(es): dc.creatorOliveira, Priscilla Teles de-
Autor(es): dc.creatorSilva, Claudio Moises Santos e-
Autor(es): dc.creatorGonçalves, Weber Andrade-
Autor(es): dc.creatorLucio, Paulo Sergio-
Data de aceite: dc.date.accessioned2025-08-21T18:08:29Z-
Data de disponibilização: dc.date.available2025-08-21T18:08:29Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-03-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/atmos14030531-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/247107-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/247107-
Descrição: dc.descriptionClimate extreme events are becoming increasingly frequent worldwide, causing floods, drought, forest fires, landslides and heat or cold waves. Several studies have been developed on the assessment of trends in the occurrence of extreme events. However, most of these studies used traditional models, such as Poisson or negative binomial models. Thus, the main objective of this study is to use a space–time data counting approach in the modeling of the number of days with extreme precipitation as an alternative to the commonly used statistical methods. The study area is the Northeast Brazil region, and the analysis was carried out for the period between 1 January 1980 and 31 December 2010, by assessing the frequency of extreme precipitation represented by the R10 mm, R20 mm and R* indices.-
Descrição: dc.descriptionDepartment of Statistics Federal University of Rio Grande do Norte Natal, Av. Senador Salgado Filho 3000-
Descrição: dc.descriptionDepartment of Statistics Federal University of Piauí, Av. Campus Universitário Ministro Petrônio Portella, Ininga-
Descrição: dc.descriptionClimate Sciences Post-Graduate Program Department of Climate and Atmospheric Sciences Federal University of Rio Grande do Norte, Av. Senador Salgado Filho 3000, Natal-
Descrição: dc.descriptionFederal Institute of Education Science and Technology of Rio Grande do Norte IFRN, Rua Brusque, 2926, Conjunto Santa Catarina, Potengi-
Descrição: dc.descriptionISI-ER—SENAI Innovation Institute for Renewable Energies, Av. Capitão Mor-Gouveia 2770-
Descrição: dc.descriptionFaculdade de Ciências Universidade Estadual Paulista Bauru, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Vargem Limpa-
Descrição: dc.descriptionFaculdade de Ciências Universidade Estadual Paulista Bauru, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Vargem Limpa-
Idioma: dc.languageen-
Relação: dc.relationAtmosphere-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectanisotropic processes-
Palavras-chave: dc.subjectclimate change-
Palavras-chave: dc.subjectclimatological modeling-
Palavras-chave: dc.subjectenvironmental data-
Palavras-chave: dc.subjectextreme rainfall frequency-
Palavras-chave: dc.subjectnonhomogeneous Poisson processes-
Título: dc.titleSpatiotemporal Analysis of Extreme Rainfall Frequency in the Northeast Region of Brazil-
Tipo de arquivo: dc.typelivro digital-
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