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

Climate 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,...

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Autores: Morales, Fidel Ernesto Castro, Rodrigues, Daniele Torres, Marques, Thiago Valentim, Amorim, Ana Cleide Bezerra, Oliveira, Priscilla Teles de [UNESP], Silva, Claudio Moises Santos e, Gonçalves, Weber Andrade, Lucio, Paulo Sergio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:Brasil
Institución:Universidade Estadual Paulista (UNESP)
Repositorio:Repositório Institucional da UNESP
Idioma:inglés
OAI Identifier:oai:repositorio.unesp.br:11449/247107
Acceso en línea:http://dx.doi.org/10.3390/atmos14030531
http://hdl.handle.net/11449/247107
Access Level:acceso abierto
Palabra clave:anisotropic processes
climate change
climatological modeling
environmental data
extreme rainfall frequency
nonhomogeneous Poisson processes
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repository_id_str
spelling Spatiotemporal Analysis of Extreme Rainfall Frequency in the Northeast Region of Brazilanisotropic processesclimate changeclimatological modelingenvironmental dataextreme rainfall frequencynonhomogeneous Poisson processesClimate 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.Department of Statistics Federal University of Rio Grande do Norte Natal, Av. Senador Salgado Filho 3000Department of Statistics Federal University of Piauí, Av. Campus Universitário Ministro Petrônio Portella, IningaClimate Sciences Post-Graduate Program Department of Climate and Atmospheric Sciences Federal University of Rio Grande do Norte, Av. Senador Salgado Filho 3000, NatalFederal Institute of Education Science and Technology of Rio Grande do Norte IFRN, Rua Brusque, 2926, Conjunto Santa Catarina, PotengiISI-ER—SENAI Innovation Institute for Renewable Energies, Av. Capitão Mor-Gouveia 2770Faculdade de Ciências Universidade Estadual Paulista Bauru, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Vargem LimpaFaculdade de Ciências Universidade Estadual Paulista Bauru, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Vargem LimpaNatalFederal University of PiauíFederal University of Rio Grande do NorteIFRNISI-ER—SENAI Innovation Institute for Renewable EnergiesUniversidade Estadual Paulista (UNESP)2023-07-29T13:06:26Z2023-07-29T13:06:26Z2023-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/atmos14030531Atmosphere, v. 14, n. 3, 2023.2073-4433http://hdl.handle.net/11449/24710710.3390/atmos140305312-s2.0-85151545075Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAtmosphereinfo:eu-repo/semantics/openAccessMorales, Fidel Ernesto CastroRodrigues, Daniele TorresMarques, Thiago ValentimAmorim, Ana Cleide BezerraOliveira, Priscilla Teles de [UNESP]Silva, Claudio Moises Santos eGonçalves, Weber AndradeLucio, Paulo Sergio2025-06-24T05:27:01Zoai:repositorio.unesp.br:11449/247107Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-06-24T05:27:01Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Spatiotemporal Analysis of Extreme Rainfall Frequency in the Northeast Region of Brazil
title Spatiotemporal Analysis of Extreme Rainfall Frequency in the Northeast Region of Brazil
spellingShingle Spatiotemporal Analysis of Extreme Rainfall Frequency in the Northeast Region of Brazil
Morales, Fidel Ernesto Castro
anisotropic processes
climate change
climatological modeling
environmental data
extreme rainfall frequency
nonhomogeneous Poisson processes
title_short Spatiotemporal Analysis of Extreme Rainfall Frequency in the Northeast Region of Brazil
title_full Spatiotemporal Analysis of Extreme Rainfall Frequency in the Northeast Region of Brazil
title_fullStr Spatiotemporal Analysis of Extreme Rainfall Frequency in the Northeast Region of Brazil
title_full_unstemmed Spatiotemporal Analysis of Extreme Rainfall Frequency in the Northeast Region of Brazil
title_sort Spatiotemporal Analysis of Extreme Rainfall Frequency in the Northeast Region of Brazil
dc.creator.none.fl_str_mv Morales, Fidel Ernesto Castro
Rodrigues, Daniele Torres
Marques, Thiago Valentim
Amorim, Ana Cleide Bezerra
Oliveira, Priscilla Teles de [UNESP]
Silva, Claudio Moises Santos e
Gonçalves, Weber Andrade
Lucio, Paulo Sergio
author Morales, Fidel Ernesto Castro
author_facet Morales, Fidel Ernesto Castro
Rodrigues, Daniele Torres
Marques, Thiago Valentim
Amorim, Ana Cleide Bezerra
Oliveira, Priscilla Teles de [UNESP]
Silva, Claudio Moises Santos e
Gonçalves, Weber Andrade
Lucio, Paulo Sergio
author_role author
author2 Rodrigues, Daniele Torres
Marques, Thiago Valentim
Amorim, Ana Cleide Bezerra
Oliveira, Priscilla Teles de [UNESP]
Silva, Claudio Moises Santos e
Gonçalves, Weber Andrade
Lucio, Paulo Sergio
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Natal
Federal University of Piauí
Federal University of Rio Grande do Norte
IFRN
ISI-ER—SENAI Innovation Institute for Renewable Energies
Universidade Estadual Paulista (UNESP)
dc.subject.por.fl_str_mv anisotropic processes
climate change
climatological modeling
environmental data
extreme rainfall frequency
nonhomogeneous Poisson processes
topic anisotropic processes
climate change
climatological modeling
environmental data
extreme rainfall frequency
nonhomogeneous Poisson processes
description Climate 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.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T13:06:26Z
2023-07-29T13:06:26Z
2023-03-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3390/atmos14030531
Atmosphere, v. 14, n. 3, 2023.
2073-4433
http://hdl.handle.net/11449/247107
10.3390/atmos14030531
2-s2.0-85151545075
url http://dx.doi.org/10.3390/atmos14030531
http://hdl.handle.net/11449/247107
identifier_str_mv Atmosphere, v. 14, n. 3, 2023.
2073-4433
10.3390/atmos14030531
2-s2.0-85151545075
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Atmosphere
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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score 15,300724

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