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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/385EGR5
Repositóriosid.inpe.br/mtc-m19@80/2010/08.23.19.08
Última Atualização2011:03.02.15.28.47 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m19@80/2010/08.23.19.08.43
Última Atualização dos Metadados2021:01.02.04.00.16 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoCamargoPezzHerd:2010:ObNuSt
TítuloObservational and numerical studies of SST variability at South Atlantic using the regional CPTEC oceanic data assimilation system (R-CODAS)
Ano2010
Data de Acesso02 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho1552 KiB
2. Contextualização
Autor1 Camargo, Ricardo de
2 Pezzi, Luciano Ponzi
3 Herdies, Dirceu Luis
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHM8
3 8JMKD3MGP5W/3C9JGTU
Grupo1
2 DMD-CPT-INPE-MCT-BR
3 DMD-CPT-INPE-MCT-BR
Afiliação1 Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences of University of São Paulo, São Paulo, Brazil
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 ricardo.camargo@cptec.inpe.br
2 luciano.pezzi@cptec.inpe.br
3 dirceu.herdies@cptec.inpe.br
Nome do EventoThe Meeting of the Americas.
Localização do EventoFoz do Iguaçu
Data8-12 Aug. 2010
Editora (Publisher)AGU
Tipo TerciárioExhibition
Histórico (UTC)2011-03-03 12:31:43 :: valdirene -> administrator :: 2010
2021-01-02 04:00:16 :: administrator -> valdirene :: 2010
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-Chavenumerical modeling
ocean data assimilation
reanalysis
ocean predictability
prediction
ResumoThe Sea Surface Temperature (SST) variability can play a decisive role on the atmospheric systems evolution either on climate or weather time scales. There are lots of efforts being applied to adequately represent SST features and variability, even considering uncoupled models of both atmosphere and ocean. This work aims to investigate SST features and variability at South Atlantic, based on Optimal Interpolation SST version 2 (OISSTv2) and numerical experiments performed with Regional Ocean Modeling System (ROMS) with and without data assimilation. This was made through the use of Regional CPTEC Oceanic Data Assimilation System (R-CODAS) based on Local Kalman Ensemble Filter Transform (LETKF) technique. On the observational aspects, space EOFs showed modes of SST variability at South Atlantic that can be connected to Equatorial Pacific SST anomalies linked to El-Niño Southern Oscilation (ENSO) and also to South Pacific SST variations related to extratropical signature of Pacific-South America atmospheric teleconnection patterns (PSA). For the modeling stage, ROMS simulations were performed in a 1/2 degree resolution grid covering Tropical and South Atlantic Ocean, using both bulk-fluxes formulation and NCEP/Reanalysis fluxes, being the latter with heat and fresh water flux corrections. These numerical results could show the model sensitivity to atmospheric forcing, mainly over higher latitudes of Western South Atlantic. Spin-up stages of 20 years with each of those forcing files reached dynamically balanced fields that were used as initial conditions for long integrations in the period 1980-2009. Once again, differences between bulk-formulation and NCEP/Reanalysis fluxes are more significant over Argentinean shelf than in other regions of the domain. Despite this fact, both simulations could reasonable represent SST features and variability, and could be considered for the data assimilation stage. R-CODAS is still under development/tuning and preliminary results assimilating only OISSTv2 data showed that the number of members as well as the inflation coefficient are key-parameters for the simulations, reflecting directly on the capacity of the method on assimilating real data. New analyzed fields after the assimilation cycle were closer to the reality when compared with no-data-assimilation results. The next step is the consideration of Sea Surface Height from satellite data (SSH) as well as ocean profiles to be included in the assimilation procedure, besides spatial and time analyses of the numerical fields.
ÁreaMET
ArranjoObservational and numerical...
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/8JMKD3MGP7W/385EGR5
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP7W/385EGR5
Idiomaen
Arquivo AlvoCamargo_Observational.pdf
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Visibilidadeshown
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhosid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.44.41 3
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
7. Controle da descrição
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