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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3J9MMBP
Repositóriosid.inpe.br/mtc-m21b/2015/04.06.18.53
Última Atualização2015:07.06.16.17.09 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2015/04.06.18.53.29
Última Atualização dos Metadados2018:06.04.02.55.20 (UTC) administrator
DOI10.5194/hessd-12-671-2015
ISSN1812-2108
Chave de CitaçãoMartinsRandOlivDolm:2015:PrAmRe
TítuloPrecipitation in the Amazon and its relationship with moisture transport and tropical Pacific and Atlantic SST from the CMIP5 simulation
Ano2015
Data de Acesso14 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1937 KiB
2. Contextualização
Autor1 Martins, Guilherme
2 von Randow, Celso
3 Oliveira, Gilvan Sampaio de
4 Dolman, Han A. J.
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JHBE
Grupo1 CST-CST-INPE-MCTI-GOV-BR
2 CST-CST-INPE-MCTI-GOV-BR
3 CST-CST-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Vrije Universiteit Amsterdam
Endereço de e-Mail do Autor1 guilherme.martins@inpe.br
2
3 gilvan.sampaio@cptec.inpe.br
RevistaHydrology and Earth System Sciences Discussions
Volume12
Número1
Páginas671-704
Nota SecundáriaB1_CIÊNCIAS_AMBIENTAIS B1_GEOGRAFIA B2_ENGENHARIAS_I B2_ARQUITETURA_E_URBANISMO B2_INTERDISCIPLINAR B3_GEOCIÊNCIAS
Histórico (UTC)2015-04-06 18:53:29 :: simone -> administrator ::
2018-06-04 02:55:20 :: administrator -> simone :: 2015
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoStudies on numerical modeling in Amazonia show that the models fail to capture important aspects of climate variability in this region and it is important to understand the reasons that cause this drawback. Here, we study how the general circulation 5 models of the Coupled Model Intercomparison Project Phase 5 (CMIP5) simulate the inter-relations between regional precipitation, moisture convergence and Sea Surface Temperature (SST) in the adjacent oceans, to assess how flaws in the representation of these processes can translate into biases in simulated rainfall in mazonia. Using observational data (GPCP, CMAP, ERSST.v3, ERAI and evapotranspiration) and 21numerical simulations from CMIP5 during the present climate (19792005) in June, July and August (JJA) and December, January and February (DJF), respectively, to represent dry and wet season characteristics, we evaluate how the models simulate precipitation, moisture transport and convergence, and pressure velocity (omega) in different regions of Amazonia. Thus, it is possible to identify areas of Amazonia that are more or less influenced by adjacent ocean SSTs. Our results showed that most of the CMIP5 models have poor skill in adequately representing the observed data. The regional analysis of the variables used showed that the underestimation in the dry season (JJA) was twice in relation to rainy season as quantified by the Standard Error of the Mean (SEM). It was found that Atlantic and Pacific SSTs modulate the 20 northern sector of Amazonia during JJA, while in DJF Pacific SST only influences the eastern sector of the region. The analysis of moisture transport in JJA showed that moisture preferentially enters Amazonia via its eastern edge. In DJF this occurs both via its northern and eastern edge. The moisture balance is always positive, which indicates that Amazonia is a source of moisture to the atmosphere. Additionally, our results showed that during DJF the simulations in northeast sector of Amazonia have a strong bias in precipitation and an underestimation of moisture convergence due to the higher influence of biases in the Pacific SST. During JJA, a strong precipitation bias was observed in the southwest sector associated, also with a negative bias of mois-ture convergence, but with weaker influence of SSTs of adjacent oceans. The poor representation of precipitation-producing systems in Amazonia by the models and the difficulty of adequately representing the variability of SSTs in the Pacific and Atlantic oceans may be responsible for these underestimates in Amazonia.
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34P/3J9MMBP
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34P/3J9MMBP
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5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.19.20.40 5
sid.inpe.br/mtc-m21/2012/07.13.14.49.24 4
DivulgaçãoPORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarymark tertiarytype url
7. Controle da descrição
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