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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/487DP9S
Repositóriosid.inpe.br/mtc-m21d/2022/12.14.23.01
Repositório de Metadadossid.inpe.br/mtc-m21d/2022/12.14.23.01.45
Última Atualização dos Metadados2023:01.03.16.46.28 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoCavalcantiBarr:2022:SuPrEx
TítuloSubseasonal Predictions of Extreme Precipitation over South America from S2S ECMWF Model
Ano2022
Data de Acesso18 maio 2024
Tipo SecundárioPRE CI
2. Contextualização
Autor1 Cavalcanti, Iracema Fonseca de Albuquerque
2 Barreto, Naurinete de Jesus da Costa
Identificador de Curriculo1 8JMKD3MGP5W/3C9JHDE
Grupo1 DIMNT-CGCT-INPE-MCTI-GOV-BR
2 CST-CST-DIPGR-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 iracema.cavalcanti@gmail.com
2 naurinete.barreto@inpe.br
Nome do EventoAGU Fall Meeting
Localização do EventoChicago, IL
Data12-16 Dec. 2022
Editora (Publisher)AGU
Histórico (UTC)2022-12-14 23:01:45 :: simone -> administrator ::
2023-01-03 16:46:28 :: administrator -> simone :: 2022
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoWet and dry conditions in Southeast and South Brazil produce social and economic impacts, as these regions have large population, agriculture activities and hydroelectricity power generation. Seasonal predictions have been able to alert for the precipitation conditions in the South region, due to the influence of ENSO, which is well predicted by climate models. However, Southeast Brazil, located in a transition region between Northeast, which is also affected by ENSO, and South, is less predictable at the seasonal timescale. Predictions at subseasonal timescale have been studied following the Subseasonal to Seasonal (S2S) project, with the availability of hindcasts of several global models. In the present study, reforecasting data from S2S ECMWF model are used to analyze predictions of extreme precipitation (wet and dry cases) in Southeast and South Brazil identified with GPCP data. Weekly averages of observed precipitation anomalies were obtained for DJF from 1999 to 2010 and the six more extreme wet and dry cases were selected to verify the predictions. The analyses were performed using an ensemble of four members of the ECMWF reforecasts for the weeks predicted two weeks in advance. Observations show that extreme precipitation in Southeast and South Brazil present a dipole characteristic, with opposite anomalies. Hindcasts produced by S2S ECMWF model indicated similar patterns of extremes, for wet and dry cases occurring in Southeast and South Brazil. Although the model patterns are similar to observations, the intensity and extension of precipitation anomalies are lower and smaller in the model. The timeseries of normalized precipitation anomalies indicate that the sign of anomalies predicted by the model was consistent with the observed sign, although the intensity was not the same in the majority of cases. The model was also able to represent the wavetrains over the Pacific and South America, associated with the anomalies, and features of Madden-Julian Oscillation, which can provide a complementary information to the subseasonal predictions.
ÁreaMET
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4. Condições de acesso e uso
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Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
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6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label language lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url versiontype volume
7. Controle da descrição
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