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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/48743UL
Repositóriosid.inpe.br/plutao/2022/12.12.17.54   (acesso restrito)
Última Atualização2022:12.15.23.04.52 (UTC) lattes
Repositório de Metadadossid.inpe.br/plutao/2022/12.12.17.54.28
Última Atualização dos Metadados2023:01.03.16.52.57 (UTC) administrator
DOI10.1002/cli2.27
ISSN2692-4587
Rótulolattes: 2191790439726897 6 CoelhoSKCBFFGCGBSKCA:2022:ClMoSi
Chave de CitaçãoCoelhoSKCBFFGCGBSKCA:2022:ClMoSi
TítuloAssessing the representation of South American monsoon features in Brazil and U.K. climate model simulations
Ano2022
Data de Acesso12 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho16973 KiB
2. Contextualização
Autor 1 Coelho, Caio Augusto dos Santos
 2 Souza, Dayana Castilho de
 3 Kubota, Paulo Yoshio
 4 Cavalcanti, Iracema Fonseca de Albuquerque
 5 Baker, Jessica C. A.
 6 Figueroa, Silvio Nilo
 7 Firpo, Mári A. F.
 8 Guimarães, Bruno dos Santos
 9 Coelho, Simone Marilene Sievert da Costa
10 Gonçalves, Layrson J. M.
11 Bonatti, José Paulo
12 Sampaio, Gilvan
13 Klingaman, Nicholas P.
14 Chevuturi, Amulya
15 Andrews, Martin B.
Identificador de Curriculo 1
 2
 3
 4 8JMKD3MGP5W/3C9JHDE
 5
 6
 7
 8
 9
10
11 8JMKD3MGP5W/3C9JHJ7
Grupo 1 DIPTC-CGCT-INPE-MCTI-GOV-BR
 2
 3 DIMNT-CGCT-INPE-MCTI-GOV-BR
 4 DIMNT-CGCT-INPE-MCTI-GOV-BR
 5
 6 DIMNT-CGCT-INPE-MCTI-GOV-BR
 7
 8 DIPTC-CGCT-INPE-MCTI-GOV-BR
 9 DISSM-CGCT-INPE-MCTI-GOV-BR
10
11 DIMNT-CGCT-INPE-MCTI-GOV-BR
12 CGCE-CGCE-INPE-MCTI-GOV-BR
Afiliação 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 Instituto Nacional de Pesquisas Espaciais (INPE)
 5 University of Leeds
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 Instituto Nacional de Pesquisas Espaciais (INPE)
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Instituto Nacional de Pesquisas Espaciais (INPE)
11 Instituto Nacional de Pesquisas Espaciais (INPE)
12 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor 1 caio.coelho@inpe.br
 2 dayana.souza@inpe.br
 3 paulo.kubota@inpe.br
 4 iracema.cavalcanti@gmail.com
 5
 6 silvio.figueroa@inpe.br
 7
 8 bruno.guimaraes@inpe.br
 9 simone.sievert@inpe.br
10
11 paulo.bonatti@inpe.br
12 gilvan.sampaio@inpe.br
RevistaClimate Resilience and Sustainability
Volume1
Páginase27
Histórico (UTC)2022-12-15 23:04:55 :: lattes -> administrator :: 2022
2023-01-03 16:52:57 :: administrator -> simone :: 2022
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveclimate model evaluation
rainy season onset and demise
South America monsoon
ResumoThis paper assesses how well the CPTEC/INPE Brazilian Global AtmosphericModel (BAM-1.2) and the atmospheric component of the UK Met Office HadleyCentre Global Environment Model (HadGEM3-GC3.1) represent the main SouthAmerican monsoon features. Climatological (19812010) ensemble means ofAtmospheric Model Intercomparison Project (AMIP)-type climate simulationsare evaluated. The assessment evaluated the models ability to represent theSouth America austral summer and winter precipitation contrast and associ-ated circulation, key South American monsoon system elements, the associa-tion between south-east Brazil and South America precipitation, and climato-logical (1997/1998 to 2013/2014) distributions of rainy season onset and demisedates over south-east Brazil (15◦S25◦S, 40◦W50◦W) and the core monsoonregion(10◦S20◦S,45◦W55◦W).Despitesomeidentifieddeficiencies,bothmod-els depict the monsoon region and represent the main features, including (1)the north-westsouth-east precipitation band and associated ascending motionover central South America; (2) the upper-level Bolivian High and the north-eastSouthAmericatroughduringthesummer;(3)thelower-levelSouthAtlanticandPacific subtropical anti-cyclones and (4) the low-level jet east of the Andes. Bothmodels represent upper-level divergence and lower-level convergence over the core monsoon region, and upper-level convergence and lower-level divergenceover the Pacific and Atlantic anti-cyclones associated with the regional Walkercirculation during the pre-monsoon (spring) and peak monsoon (summer) sea-sons. Convection over South America is weaker in BAM-1.2 than observed, con-sistent with continental precipitation deficit. The models reproduce the dipole-like precipitation pattern between south-east Brazil and south-eastern SouthAmerica during the austral summer but overestimate these patterns spatialextent over the South Atlantic. Both models simulate the main observed climato-logical features of rainy season onset and demise dates for the two above definedinvestigated regions. HadGEM3 overestimates onset dates interannual variabil-ity. These results can contribute towards understanding climate and land-usechange implications for environmental sustainability and for recommending cli-mate adaptation strategies.
ÁreaMET
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Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo AlvoClimate Resilience - 2021 - Coelho - Assessing the representation of South American monsoon features in Brazil and U K  (1).pdf
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KTFK8
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 1
sid.inpe.br/bibdigital/2022/04.03.17.52 1
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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