Weather Types Associated with Daily Intense Rainfall Events in The City of Recife - PE, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Sociedade & natureza (Online) |
Texto Completo: | https://seer.ufu.br/index.php/sociedadenatureza/article/view/60520 |
Resumo: | Abstract The present study aimed to characterize the weather types associated with intense rain events in the city of Recife, by identifying both the frequency of these events and their dynamic mechanisms that explained their genesis. For this, local surface data were related to regional synoptic patterns. Principal Component Analysis and Hierarchical Cluster Analysis were applied to identify groups of homogeneous days in terms of hourly surface atmospheric data. For each group, the monthly frequency of intense rain events was presented and, from synoptic charts and satellite images, atmospheric patterns referring to the typical days were analyzed. Three groups of weather types associated with the occurrence of heavy rains were identified. Group 1 expressed 79% of the intense events (with highest record in autumn), group 2 corresponded to 9% of cases (with highest incidence in winter), and group 3 was 12% of intense rainfall (concentrated in summer and autumn seasons). The most frequent weather types were related to the displacement of barometric troughs in the trade wind fields, due to the strengthening of the easterly flow from the South Atlantic Semifixed Anticyclone. It is noteworthy that the intensity of rain events was explained by the interaction between synoptic circulation systems in meso- and local-scale. |
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Weather Types Associated with Daily Intense Rainfall Events in The City of Recife - PE, BrazilTipos de Tempo Associados a Eventos Diários de Chuva Intensa na Cidade de Recife – PE, BrasilSistemas AtmosféricosEstatística MultivariadaPrecipitação PluvialAtmospheric SystemsMultivariate StatisticsRainfall Abstract The present study aimed to characterize the weather types associated with intense rain events in the city of Recife, by identifying both the frequency of these events and their dynamic mechanisms that explained their genesis. For this, local surface data were related to regional synoptic patterns. Principal Component Analysis and Hierarchical Cluster Analysis were applied to identify groups of homogeneous days in terms of hourly surface atmospheric data. For each group, the monthly frequency of intense rain events was presented and, from synoptic charts and satellite images, atmospheric patterns referring to the typical days were analyzed. Three groups of weather types associated with the occurrence of heavy rains were identified. Group 1 expressed 79% of the intense events (with highest record in autumn), group 2 corresponded to 9% of cases (with highest incidence in winter), and group 3 was 12% of intense rainfall (concentrated in summer and autumn seasons). The most frequent weather types were related to the displacement of barometric troughs in the trade wind fields, due to the strengthening of the easterly flow from the South Atlantic Semifixed Anticyclone. It is noteworthy that the intensity of rain events was explained by the interaction between synoptic circulation systems in meso- and local-scale. O presente estudo teve como objetivo caracterizar os tipos de tempo associados aos eventos intensos de chuva na cidade de Recife, identificando suas frequências e os mecanismos dinâmicos que explicaram suas gêneses. Para tanto, dados climáticos locais de superfície foram relacionados aos padrões sinóticos regionais. A Análise de Componentes Principais e Análise de Agrupamento hierárquica foram aplicadas para a identificação de grupos de dias homogêneos quanto aos dados atmosféricos horários de superfície. Para cada grupo foi apresentada a frequência mensal de ocorrência e analisaram-se, a partir de cartas sinóticas e imagens de satélite, os padrões atmosféricos referentes aos dias típicos. Foram identificados três grupos de tipos de tempo associados à ocorrência de chuvas intensas. O grupo 1 representou 79% dos eventos intensos (com maior registro no outono), o grupo 2 correspondeu a 9% das ocorrências (com maior incidência no inverno) e o grupo 3 a 12% das chuvas intensas (com concentração nas estações do verão e outono). Os tipos de tempo mais frequentes estiveram relacionados ao deslocamento de cavados barométricos no campo dos ventos alísios, a partir do fortalecimento do escoamento de leste relacionado ao Anticiclone Semifixo do Atlântico Sul. Ressalta-se que a intensidade dos eventos de chuva foi explicada pela interação entre sistemas de circulação sinótica, de mesoescala e de escala local.Universidade Federal de Uberlândia2021-07-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/6052010.14393/SN-v33-2021-60520Sociedade & Natureza; Vol. 33 (2021)Sociedade & Natureza; v. 33 (2021)1982-45130103-1570reponame:Sociedade & natureza (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporenghttps://seer.ufu.br/index.php/sociedadenatureza/article/view/60520/32313https://seer.ufu.br/index.php/sociedadenatureza/article/view/60520/32314Copyright (c) 2021 Lucas Suassuna de Albuquerque Wanderley, Ranyere Silva Nóbrega, Cristiana Coutinho Duarte, Ayobami Badiru Moreira, Rafael Silva dos Anjosinfo:eu-repo/semantics/openAccessWanderley, Lucas Suassuna de AlbuquerqueNóbrega, Ranyere SilvaDuarte, Cristiana CoutinhoMoreira, Ayobami BadiruAnjos, Rafael Silva2021-07-30T19:26:48Zoai:ojs.www.seer.ufu.br:article/60520Revistahttp://www.sociedadenatureza.ig.ufu.br/PUBhttps://seer.ufu.br/index.php/sociedadenatureza/oai||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br1982-45130103-1570opendoar:2021-07-30T19:26:48Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Weather Types Associated with Daily Intense Rainfall Events in The City of Recife - PE, Brazil Tipos de Tempo Associados a Eventos Diários de Chuva Intensa na Cidade de Recife – PE, Brasil |
title |
Weather Types Associated with Daily Intense Rainfall Events in The City of Recife - PE, Brazil |
spellingShingle |
Weather Types Associated with Daily Intense Rainfall Events in The City of Recife - PE, Brazil Wanderley, Lucas Suassuna de Albuquerque Sistemas Atmosféricos Estatística Multivariada Precipitação Pluvial Atmospheric Systems Multivariate Statistics Rainfall |
title_short |
Weather Types Associated with Daily Intense Rainfall Events in The City of Recife - PE, Brazil |
title_full |
Weather Types Associated with Daily Intense Rainfall Events in The City of Recife - PE, Brazil |
title_fullStr |
Weather Types Associated with Daily Intense Rainfall Events in The City of Recife - PE, Brazil |
title_full_unstemmed |
Weather Types Associated with Daily Intense Rainfall Events in The City of Recife - PE, Brazil |
title_sort |
Weather Types Associated with Daily Intense Rainfall Events in The City of Recife - PE, Brazil |
author |
Wanderley, Lucas Suassuna de Albuquerque |
author_facet |
Wanderley, Lucas Suassuna de Albuquerque Nóbrega, Ranyere Silva Duarte, Cristiana Coutinho Moreira, Ayobami Badiru Anjos, Rafael Silva |
author_role |
author |
author2 |
Nóbrega, Ranyere Silva Duarte, Cristiana Coutinho Moreira, Ayobami Badiru Anjos, Rafael Silva |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Wanderley, Lucas Suassuna de Albuquerque Nóbrega, Ranyere Silva Duarte, Cristiana Coutinho Moreira, Ayobami Badiru Anjos, Rafael Silva |
dc.subject.por.fl_str_mv |
Sistemas Atmosféricos Estatística Multivariada Precipitação Pluvial Atmospheric Systems Multivariate Statistics Rainfall |
topic |
Sistemas Atmosféricos Estatística Multivariada Precipitação Pluvial Atmospheric Systems Multivariate Statistics Rainfall |
description |
Abstract The present study aimed to characterize the weather types associated with intense rain events in the city of Recife, by identifying both the frequency of these events and their dynamic mechanisms that explained their genesis. For this, local surface data were related to regional synoptic patterns. Principal Component Analysis and Hierarchical Cluster Analysis were applied to identify groups of homogeneous days in terms of hourly surface atmospheric data. For each group, the monthly frequency of intense rain events was presented and, from synoptic charts and satellite images, atmospheric patterns referring to the typical days were analyzed. Three groups of weather types associated with the occurrence of heavy rains were identified. Group 1 expressed 79% of the intense events (with highest record in autumn), group 2 corresponded to 9% of cases (with highest incidence in winter), and group 3 was 12% of intense rainfall (concentrated in summer and autumn seasons). The most frequent weather types were related to the displacement of barometric troughs in the trade wind fields, due to the strengthening of the easterly flow from the South Atlantic Semifixed Anticyclone. It is noteworthy that the intensity of rain events was explained by the interaction between synoptic circulation systems in meso- and local-scale. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-30 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/60520 10.14393/SN-v33-2021-60520 |
url |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/60520 |
identifier_str_mv |
10.14393/SN-v33-2021-60520 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/60520/32313 https://seer.ufu.br/index.php/sociedadenatureza/article/view/60520/32314 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
dc.source.none.fl_str_mv |
Sociedade & Natureza; Vol. 33 (2021) Sociedade & Natureza; v. 33 (2021) 1982-4513 0103-1570 reponame:Sociedade & natureza (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Sociedade & natureza (Online) |
collection |
Sociedade & natureza (Online) |
repository.name.fl_str_mv |
Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br |
_version_ |
1799943981644120064 |