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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/47HKBHH
Repositóriosid.inpe.br/mtc-m21d/2022/09.02.15.52   (acesso restrito)
Última Atualização2022:09.02.15.52.47 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2022/09.02.15.52.47
Última Atualização dos Metadados2023:01.03.16.46.15 (UTC) administrator
DOI10.1016/j.cliser.2022.100321
ISSN2405-8807
Chave de CitaçãoFreireCoeFreAlvKub:2022:AsCoDy
TítuloAssessing the contribution of dynamical downscaling to austral autumn Northeast Brazil seasonal precipitation prediction performance
Ano2022
MêsAug.
Data de Acesso18 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho5350 KiB
2. Contextualização
Autor1 Freire, Juliana Larise Mendonça
2 Coelho, Caio Augusto dos Santos
3 Freitas, Saulo Ribeiro de
4 Alves, Rita C. M.
5 Kubota, Paulo Yoshio
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JJ7M
Grupo1 MET-MET-DIPGR-INPE-MCTI-GOV-BR
2 DIPTC-CGCT-INPE-MCTI-GOV-BR
3 DIMNT-CGCT-INPE-MCTI-GOV-BR
4
5 DIMNT-CGCT-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 Universidade Federal do Rio Grande do Sul (UFRGS)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 jullianafreire@isi-er.com.br
2 caio.augusto.coelho@gmail.com
3 saulo.r.de.freitas@gmail.com
4
5 pkubota@gmail.com
RevistaClimate Services
Volume27
Páginase100321
Histórico (UTC)2022-09-02 15:53:24 :: simone -> administrator :: 2022
2023-01-03 16:46:15 :: administrator -> simone :: 2022
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveDynamic downscaling
Precipitation
Seasonal climate predictions
ResumoThis study aims to assess the contribution to prediction performance of dynamically downscaling seasonal precipitation for the Brazilian Northeast region (NEB) produced in February with a global climate model for the austral autumn (March-April-May). This season includes the peak precipitation period of a large portion of this region. To achieve this aim, 32 years of hindcasts for the period 19792010 were produced with a regional model known as the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS) run at 30 km spatial resolution, which was unidirectional nested to a global model run at approximately 200 km spatial resolution. The used global model was the Atmospheric General Circulation Models of the Brazilian Center for Weather Forecast and Climate Studies (CPTEC/AGCM), which provided initial and lateral boundary conditions for BRAMS. Hindcast ensembles of 10 members were produced with both the global and the regional models, simulating an operational prediction environment using persisted sea surface temperature (SST) anomalies observed in the previous January of each of the 32 hindcast years as oceanic boundary conditions. A comparative deterministic and probabilistic performance assessment of the two models was conducted. The deterministic assessment included the investigation of the mean error (bias) of the produced seasonal precipitation hindcasts, the degree of linear association between the observed and predicted precipitation anomalies measuring phase error through the correlation of the ensemble means with the corresponding observations, and amplitude error investigated through the ratio between the hindcast ensemble mean and observed variances. The probabilistic assessment was performed investigation the reliability, resolution, and discrimination characteristics of tercile probability predictions for the above normal and below normal categories, and also for probabilistic predictions for the occurrence of the symmetric event positive (or negative) precipitation anomaly. The two investigated modeling approaches showed similar performance, with an indication for dynamically downscaled predictions to have reduced amplitude error and slightly improved reliability and resolution compared to the predictions produced with the global model.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Assessing the contribution...
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1-s2.0-S2405880722000395-main.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 2
sid.inpe.br/mtc-m21/2012/07.13.14.59.52 1
sid.inpe.br/bibdigital/2013/10.15.01.34 1
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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