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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/3FCKULF
Repositóriosid.inpe.br/plutao/2013/12.12.14.52.34
Última Atualização2020:11.09.11.25.34 (UTC) marcelo.pazos@inpe.br
Repositório de Metadadossid.inpe.br/plutao/2013/12.12.14.52.35
Última Atualização dos Metadados2021:01.02.03.55.14 (UTC) administrator
Rótulolattes: 9331105406437396 4 SoaresGherPezzKaya:2013:DiLoRe
Chave de CitaçãoSoaresGherPezzKaya:2013:DiLoRe
TítuloDifferences between local and remote interannual climate forcings acting on the Brazilian Large Marine Ecosystems
FormatoDVD
Ano2013
Data de Acesso01 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho70 KiB
2. Contextualização
Autor1 Soares, Helena Cachanhuk
2 Gherardi, Douglas Francisco Marcolino
3 Pezzi, Luciano P.
4 Kayano, Mary Toshie
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JGU3
3
4 8JMKD3MGP5W/3C9JHST
Grupo1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
3
4 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2
3
4 mary.kayano@cptec.inpe.br
Endereço de e-Mailmary.kayano@cptec.inpe.br
Nome do EventoAGU Meeting of the Americas.
Localização do EventoCancun
Data2013
Título do LivroProceedings
Histórico (UTC)2013-12-12 14:52:35 :: lattes -> administrator ::
2014-04-28 19:19:40 :: administrator -> marcelo.pazos@sid.inpe.br :: 2013
2016-05-31 18:00:50 :: marcelo.pazos@sid.inpe.br -> administrator :: 2013
2018-06-04 23:39:12 :: administrator -> marcelo.pazos@inpe.br :: 2013
2020-11-09 11:25:35 :: marcelo.pazos@inpe.br -> administrator :: 2013
2021-01-02 03:55:14 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Resumoarge Marine Ecosystems (LMEs) are units defined based on the differences in hydrographic regimes, bathymetry, productivity and trophycally dependent populations and were established for assessment and management of marine resources and control of degradation of the coastal areas around the world. Three LME are located in the Brazilian domain, the North, East and South LMEs. In this study the influence of interannual climate variations on Brazilian LMEs are investigated. The South Atlantic is subject to local climatic modes, such as the Interhemispheric Sea Surface Temperature (SST) gradient, represented by the Tropical South Atlantic (TSA) and Tropical North Atlantic (TNA) indices and Antarctic Oscillation mode, represented by Antarctic Oscillation (AAO) index. The remote forcings considered in this work are El Niño Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO). Total and partial correlation (95% significance) analyses of climate indices versus SST, wind stress, sea level pressure (SLP) and outgoing long wave radiation (OLR) were calculated. The data series used were detrended and filtered to retain the interannual (2 to 7 years) variability. Correlations were carried out separately for the cold (1948/1976) and warm PDO phase (1977/2008). Results point to higher correlations between wind stress anomaly, SLP anomaly, SST anomaly (SSTA) and the Niño 3 index for a large part of the South Atlantic during the PDO warm phase than in the cold phase. The North Brazil LME region is strongly influenced by El Niño, with a maximum positive correlation between SSTA and Niño 3 found with 7 months lag and a positive correlation between this index and wind stress with a maximum time lag of 2 months. The East LME unit appears to be influenced in a very different way in its southern and northern portion, suggesting that management actions for the adaptation or mitigation for possible climate variability changes needs to consider this difference. The AAO is negatively correlated with SSTA between 20° and 35°S, being the sole climate index showing significant correlations in this area. Another aspect observed is that in the North region of the basin the correlation between AAO and SSTA seems to be intensified by the TSA interaction. The next step of this work will be to use the Regional Ocean Modeling System (ROMS) with a biogeochemical component to evaluate the impacts of climate variability on the LMEs biological productivity.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Differences between local...
Arranjo 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Differences between local...
Arranjo 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Differences between local...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W/3FCKULF
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W/3FCKULF
Idiomaen
Arquivo Alvosoares_differences.pdf
Grupo de Usuárioslattes
marcelo.pazos@inpe.br
self-uploading-INPE-MCTI-GOV-BR
Visibilidadeshown
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
VinculaçãoTrabalho Vinculado à Tese/Dissertação
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/43SKC35
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.56.22 1
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor isbn issn keywords lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarytype type url versiontype volume
7. Controle da descrição
e-Mail (login)marcelo.pazos@inpe.br
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