1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21c.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34R/427NJ7L |
Repositório | sid.inpe.br/mtc-m21c/2020/03.25.12.21 (acesso restrito) |
Última Atualização | 2020:03.25.12.21.47 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21c/2020/03.25.12.21.47 |
Última Atualização dos Metadados | 2022:01.04.01.35.02 (UTC) administrator |
DOI | 10.1016/j.wace.2020.100254 |
ISSN | 2212-0947 |
Chave de Citação | CostaBaGoSiRoSaHe:2020:AnClEx |
Título | Analysis of climate extremes indices over northeast Brazil from 1961 to 2014 |
Ano | 2020 |
Mês | June |
Data de Acesso | 11 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 8290 KiB |
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2. Contextualização | |
Autor | 1 Costa, Rafaela Lisboa 2 Baptista, Gustavo Macedo de Mello 3 Gomes, Heliofabio Barros 4 Silva, Fabrício Daniel dos Santos 5 Rocha Júnior, Rodrigo Lins da 6 Salvador, Mozar de Araújo 7 Herdies, Dirceu Luís |
Identificador de Curriculo | 1 2 3 4 5 6 7 8JMKD3MGP5W/3C9JGTU |
Grupo | 1 2 3 4 5 6 7 DIDMD-CGCPT-INPE-MCTIC-GOV-BR |
Afiliação | 1 Universidade Federal de Alagoas (UFAL) 2 Universidade de Brasília (UnB) 3 Universidade Federal de Alagoas (UFAL) 4 Universidade Federal de Alagoas (UFAL) 5 Universidade Federal de Alagoas (UFAL) 6 Instituto Nacional de Meteorologia (INMET) 7 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 rafaelalisboac@gmail.com 2 gmbaptista@unb.br 3 heliofabio@icat.ufal.br 4 fabricio.santos@icat.ufal.b 5 rrodrigo.junior@hotmail.com 6 mozar.salvador@inmet.gov.br 7 dirceu.herdies@inpe.br |
Revista | Weather and Climate Extremes |
Volume | 28 |
Páginas | e100254 |
Histórico (UTC) | 2020-03-25 12:22:38 :: simone -> administrator :: 2020 2020-06-19 13:50:35 :: administrator -> simone :: 2020 2020-06-23 22:31:14 :: simone -> administrator :: 2020 2022-01-04 01:35:02 :: administrator -> simone :: 2020 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | Trends Temperature Rainfall Regional and sub-regional analysis CLIMDEX |
Resumo | An analysis of climate extremes indices was conducted for maximum temperatures (TMax), minimum temperatures (TMin), and daily rainfall data (PRCP) over the northeast region of Brazil for the period of 19612014. The indices were calculated for 96 weather stations using RClimDex software in a sub-regional study based on cluster analysis, as well as for each individual weather station, after a rigorous process of quality control, gap filling of missing values, and homogenization. The Mann-Kendall non-parametric trend test was employed to assess the statistical significance of the series. The results indicate unequivocal signs of heating. In the past decades, there were predominant trends of decrease in the percentage of cold nights ( 8.4% days/decade), increase in the percentage of the number of warm nights (10.6% days/decade), increase in the number of days per decade in which the minimum temperature exceeded the threshold of 20 �C, and a trend showing an increase in heat waves. This was corroborated by the declining trend in the number of consecutive days in which TMin did not exceed the 10th percentile, and the increase in the number of consecutive days in which TMax exceeded the 90th percentile in the data distribution. With regard to PRCP, in most weather stations where there is a significant increase in consecutive dry days, there is also a trend of significant increase in consecutive wet days, thereby intensifying the seasonality, with the dry seasons becoming drier and the rainy seasons wetter. In most weather stations, a reduction was found in the total annual precipitation and in the frequency of rainy days. Moreover, in many stations, an increase in rainfall events that surpasses the threshold of 95% and 99% in the distribution was discovered. These factors highlight concerns of a region of Brazil marked by the scarcity of perennial water resources and the threat of desertification. |
Área | MET |
Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Analysis of climate... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
Idioma | en |
Arquivo Alvo | costa_analysis.pdf |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Permissão de Leitura | deny from all and allow from 150.163 |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/43SKC35 |
Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.44.41 2 sid.inpe.br/bibdigital/2021/01.01.17.20 1 |
Divulgação | PORTALCAPES; SCOPUS. |
Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 |
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6. Notas | |
Campos Vazios | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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