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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositóriocptec.inpe.br/adm_conf/2005/10.27.23.14
Última Atualização2006:04.16.18.38.26 (UTC) administrator
Repositório de Metadadoscptec.inpe.br/adm_conf/2005/10.27.23.14.59
Última Atualização dos Metadados2021:02.10.19.21.56 (UTC) administrator
Chave SecundáriaINPE-13830-PRE/9016
Chave de CitaçãoGomesChouBust:2006:EtMoSe
TítuloEta model seasonal precipitation forecasts with different initialization periods
FormatoCD-ROM; On-line.
Ano2006
Data de Acesso01 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho324 KiB
2. Contextualização
Autor1 Gomes, Jorge Luis
2 Chou, Sin Chan
3 Bustamante, Josiane Ferreira
Grupo1 DMD-INPE-MCT-BR
2 DMD-INPE-MCT-BR
3 DOP-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 gomes@cptec.inpe.br
2 chou@cptec.inpe.br
3 josiane@cptec.inpe.br
EditorVera, Carolina
Nobre, Carlos
Endereço de e-Mailgomes@cptec.inpe.br
Nome do EventoInternational Conference on Southern Hemisphere Meteorology and Oceanography, 8 (ICSHMO).
Localização do EventoFoz do Iguaçu
Data24-28 Apr. 2006
Editora (Publisher)American Meteorological Society (AMS)
Cidade da Editora45 Beacon Hill Road, Boston, MA, USA
Páginas565-567
Título do LivroProceedings
Tipo TerciárioPoster
OrganizaçãoAmerican Meteorological Society (AMS)
Histórico (UTC)2005-10-27 23:14:59 :: gomes@cptec.inpe.br -> administrator ::
2005-11-11 02:33:10 :: administrator -> adm_conf ::
2005-12-16 01:06:35 :: adm_conf -> gomes@cptec.inpe.br ::
2006-03-29 21:02:40 :: gomes@cptec.inpe.br -> administrator ::
2006-04-18 20:59:30 :: administrator -> lise@dpi.inpe.br ::
2010-12-28 12:36:26 :: lise@dpi.inpe.br -> administrator ::
2010-12-29 15:56:13 :: administrator -> lise@dpi.inpe.br :: 2006
2010-12-29 16:05:48 :: lise@dpi.inpe.br -> administrator :: 2006
2010-12-29 18:52:02 :: administrator -> banon :: 2006
2011-01-02 17:14:47 :: banon -> administrator :: 2006
2021-02-10 19:21:56 :: administrator -> :: 2006
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-ChaveRegional Climate Forecasts
Eta Model
Spinup time
ResumoGCM are generally initialized about a few months before the forecast period to allow some spin-up time for the soil moisture. During this initialization period, observed SST are used over the ocean. While in the GCM, the integration is mostly controlled by the lower boundary, in the limited area models, the climate state is related to the lateral boundaries, which are provided by the GCM. In longer spin-up time, model errors are also allowed to grow larger before saturation is reached. In this work an evaluation of seasonal forecasts using the Eta Model driven by CPTEC GCM, which was initialized at different spin-up time, is shown. The Eta Model domain covers most of South America, and was configured with 40 km and 38 layers. The CPTEC GCM run at T62L28 resolution. The soil moisture was initialized from monthly climatology, whereas sea surface temperature was taken from observed weekly mean. The GCM used Kuo convection scheme whereas the Eta Model used the Betts-Miller scheme. The model produced 3-month forecasts using persisted sea surface temperature anomaly. Two periods of initialization were taken: 2.5 and 0.5 months before the start of the forecast period. Results are shown for December-January-February (DJF) season of 3 different years: 1997, 1998 and 1999, which comprise one El Niño and one La Niña event. DJF is the rainy season for most part of the South America continent. Precipitation forecasts from the CPTEC GCM are compared against surface observations in four major regions: Amazon region, Center-South, Northeast Brazil and the San Francisco river basin. Daily mean precipitation values of the two modes of run are very close in the Amazon and Center-South region, with no clear forecast bias. In the smaller regions, Northeast Brazil and the S. Francisco Basin, either 2.5- or 0.5-month spin-up time runs, show some difference, however, both forecasts similarly overestimated the observed precipitation. The inter-annual variability is less captured by the 2.5-month run than the 0.5-month run produced by the GCM. Precipitation forecasts from the Eta Model driven GCM forecasts from these two spin-up periods for the 3 years are also shown. Results show no clear advantage of nesting into forecasts from driver model using longer spin-up period.
ÁreaMET
TipoClimate predictions
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Eta model seasonal...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Eta model seasonal...
Conteúdo da Pasta docacessar
Conteúdo da Pasta source
icshmo_2.5x0.5.doc 29/03/2006 18:02 91.0 KiB 
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/cptec.inpe.br/adm_conf/2005/10.27.23.14
URL dos dados zipadoshttp://urlib.net/zip/cptec.inpe.br/adm_conf/2005/10.27.23.14
Idiomaen
Arquivo Alvo565-568.pdf
Grupo de Usuáriosadministrator
gomes@cptec.inpe.br
administrator
banon
Visibilidadeshown
Detentor da CópiaSID/SCD
Permissão de Leituraallow from all
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
8JMKD3MGPCW/43SQKNE
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.02.22.14 1
Acervo Hospedeirocptec.inpe.br/nobre/2005/06.02.21.14
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notas
Nota1
Campos Vaziosarchivingpolicy archivist callnumber contenttype copyright creatorhistory descriptionlevel dissemination documentstage doi edition identifier isbn issn label lineage mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume


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