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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/47MGJMB
Repositóriosid.inpe.br/mtc-m21d/2022/09.26.15.24
Última Atualização2022:09.26.15.24.41 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2022/09.26.15.24.41
Última Atualização dos Metadados2023:01.03.16.46.17 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoGomesJúniorTcheSouzChou:2022:BiCoAn
TítuloA bias correction analysis for SST data from BESM in the tropical South Atlantic Ocean
Ano2022
Data de Acesso18 maio 2024
Tipo SecundárioPRE CN
Número de Arquivos1
Tamanho202 KiB
2. Contextualização
Autor1 Gomes Júnior, Sérgio Pinto
2 Tcheou, Michel Pompeu
3 Souza Filho, João Baptista de Oliveira
4 Chou, Sin Chan
Grupo1
2
3
4 DIMNT-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Universidade Federal do Rio de Janeiro (UFRJ)
2 Universidade do Estado do Rio de Janeiro (UERJ)
3 Universidade Federal do Rio de Janeiro (UFRJ)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 sergio.junior@coppe.ufrj.br
2 mtcheou@uerj.br
3 jbfilho@poli.ufrj.br
4 chou.sinchan@gmail.com
Nome do EventoWorkshop em Modelagem Numérica de Tempo, Clima e Mudanças Climáticas Usando o Modelo Eta: Aspectos Físicos e Numéricos (WorEta), 7
Localização do EventoOnline
Data26-30 set. 2022
Editora (Publisher)INPE
Histórico (UTC)2022-09-26 15:24:41 :: simone -> administrator ::
2023-01-03 16:46:17 :: administrator -> simone :: 2022
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-Chavebias correction
sea surface temperature
BESM
ResumoSea surface temperature (SST) is an important variable that drives climate. Tropical Atlantic Ocean SST variability has a strong influence on the distribution of precipitation in South America, including northeastern Brazil and the southwestern Amazon region. Therefore, to seek for more accurate rainfall forecasts in those regions, our work aimed at evaluating different bias correction statistical methods to be applied onto the SST data predicted by the Brazilian Earth System Model (BESM). The reference observations were obtained from the ERA5 database. The chosen region to produce corrected SST is within the coordinates 30W-10E and 20S-0. The first method evaluated was the basic Quantile Mapping (QM), considering its wide adoption, ability to deal with higher order moments, and computationally efficiency. However, it has some drawbacks, such as requiring the same number of samples in the time series observed and the one generated by BESM to ensure an accurate distribution mapping. In addition, QM also assumes that the error correction function for the modeled and observed distributions are stationary or time invariant. To address the first limitation, we evaluate the modified QM method. Furthermore, since the stationarity assumption of QM models may be not suitable for long-term observation series, this experimental study also includes the Scaled Distribution Mapping (SDM) method. Records are daily based and span the period from November 1980 to October 2010. The bias correction procedures were individually applied to each model grid point at the study region. This investigation indicates the existence of some correlation between spatially contiguous areas and best performing methods.
ÁreaMET
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34T/47MGJMB
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34T/47MGJMB
Arquivo AlvoTO_03_A1_GomesJuniorSP.pdf
Grupo de Usuáriossimone
Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn label language lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
7. Controle da descrição
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