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1. Identificação Tipo de Referência Pôster em Evento (Conference Proceedings) Site mtc-m16d.sid.inpe.br Código do Detentor isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S Identificador 8JMKD3MGP7W/38977EL Repositório sid.inpe.br/mtc-m19/2010/09.15.17.27 Última Atualização 2010:11.09.12.57.25 (UTC) administrator Repositório de Metadados sid.inpe.br/mtc-m19/2010/09.15.17.27.51 Última Atualização dos Metadados 2021:01.02.03.58.28 (UTC) administrator Chave Secundária INPE--PRE/ Chave de Citação PariseFari:2010:ShWaVa Título Short-scale wave variability in the South Atlantic ocean based on empirical orthogonal function and singular value decomposition Ano 2010 Data de Acesso 03 maio 2024 Tipo Secundário PRE CI Número de Arquivos 1 Tamanho 1122 KiB 2. Contextualização Autor 1 Parise, Claudia Klose 2 Farina, L Grupo 1 DMD-CPT-INPE-MCT-BR Afiliação 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Mathematics Institute, UFRGS, Porto Alegre, Brazil Endereço de e-Mail do Autor 1 clau_oceano@yahoo.com.br 2 farina@mat.ufrgs.br Nome do Evento The Meeting of the Americas. Localização do Evento Foz do Iguaçu Data 8-12 Aug. 2010 Editora (Publisher) AGU Título do Livro Posters Tipo Terciário Poster Session Histórico (UTC) 2010-11-09 12:57:25 :: valdirene -> administrator :: 2010 2021-01-02 03:58:28 :: administrator -> simone :: 2010 3. Conteúdo e estrutura É a matriz ou uma cópia? é a matriz Estágio do Conteúdo concluido Transferível 1 Tipo do Conteúdo External Contribution Palavras-Chave ocean predictability prediction Resumo The availability of observational ocean wave data in the South Atlantic Ocean (SAO) is still very limited. Due to this shortage of data obtained in situ, numerical modeling has become the most used tool for the investigation of wave climate in whole world. Here, the global model WAM was used to simulate waves from June 2006 to July 2007 in order to better understand the wave variability in short-scale. For this was applied the EOF and SVD analysis which have found the leading modes of the significant wave height (Hs), swell, velocity of the wind at height 10 meters (U10) and peak period (Tp) in the SAO. The large share of wave variability was explained by the first four modes, where a strong correlation was found between Tp and swell (68%) and also that with Hs (61%). The cross-correlation functions of the 1st and 2nd PCs time series were calculated and compared to Southern Annular Mode (SAM). The results have led us to conclude that the leading potential mechanism that drives the short-scale variability of ocean surface wave in the SAO is the extratropical cyclone amount variability. It could be noticed that the first modes of U10 and Hs were significantly related, as well as their second modes. The spatial pattern of the EOF3 of U10 started appearing in the EOF3 of Hs, but became really similar to the fourth mode of the Hs, what outpoint the known time lag of ocean surface response to the atmospheric forcing. The EOF1 of swell has exhibited positive anomalies in southeast of grid and lowering of them toward northeast, showing that there is a correspondence between the propagation directions of swell and the dominant directions of storms. From spatial patterns were noticed contributions of swell from Pacific, Indian and North Atlantic Oceans. The anomalies (+) observed in the first and second Hs modes showed a contribution of swell from the Indic Ocean modifying the wave climate in the SAO. The application of cross-correlation function of PCs time series has provided the information that one maximum oscillation happened in each two day. We guess that this short and synoptic scale can have some relation to the extratropical cyclone variability. A clear seasonal fluctuation could be noted, particularly for the summer months, but the period studied is much short for a deep seasonal analyze. The negative tendency of SAM added with its also negative correlation coefficient with all variables analyzed indicate that the storms have shifted toward midlatitudes, and, consequently, larger is the chance to occur swell events. In this way, the results obtained here lead us to conclude that the leading potential mechanism that drives the short-scale variability of Hs and swell in the SAO is the extratropical cyclone amount variability. The application of EOF and SVD methods for obtaining leading modes of short-scale spatial temporal variability of oceanic waves, apart from appearing pioneer in the South Hemisphere, provided a better understanding of the ocean waves behavior in the South Atlantic Ocean and the relationship to local process, to other Oceans and to the high latitudes process. Área MET Arranjo urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Short-scale wave variability... Conteúdo da Pasta doc acessar Conteúdo da Pasta source não têm arquivos Conteúdo da Pasta agreement não têm arquivos 4. Condições de acesso e uso URL dos dados http://urlib.net/ibi/8JMKD3MGP7W/38977EL URL dos dados zipados http://urlib.net/zip/8JMKD3MGP7W/38977EL Idioma en Arquivo Alvo AGU_Parise&Farina.pdf Grupo de Usuários administrator valdirene Grupo de Leitores administrator valdirene Visibilidade shown Permissão de Leitura allow from all Permissão de Atualização não transferida 5. Fontes relacionadas Repositório Espelho sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53 Unidades Imediatamente Superiores 8JMKD3MGPCW/43SKC35 Acervo Hospedeiro sid.inpe.br/mtc-m19@80/2009/08.21.17.02 6. Notas Campos Vazios archivingpolicy archivist 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 resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume 7. Controle da descrição e-Mail (login) simone atualizar

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