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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZGivnK2Y/SdSFw
Repositóriosid.inpe.br/mtc-m17@80/2007/11.21.11.55   (acesso restrito)
Última Atualização2007:11.21.11.55.50 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m17@80/2007/11.21.11.55.51
Última Atualização dos Metadados2021:02.10.19.01.18 (UTC) administrator
Chave SecundáriaINPE-14958-PRE/9870
ISSN0022-1694
Chave de CitaçãoCollischonnTuClChGuCaAl:2007:MeReIn
TítuloMedium-range reservoir inflow predictions based on quantitative precipitation forecasts
Ano2007
Data Secundária20070930
MêsSep.
Data de Acesso27 abr. 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho571 KiB
2. Contextualização
Autor1 Collischonn, Walter
2 Tucci, Carlos Eduardo Morelli
3 Clarke, Robin Thomas
4 Chou, Sin Chan
5 Guilhon, Luiz Guilherme
6 Cataldi, Marcio
7 Allasia, Daniel
Grupo1
2
3
4 DMD-INPE-MCT-BR
Afiliação1 Univ Fed Rio Grande do Sul, Inst Pesquisas Hidraulicas
2 Univ Fed Rio Grande do Sul, Inst Pesquisas Hidraulicas
3 Univ Fed Rio Grande do Sul, Inst Pesquisas Hidraulicas
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Univ Fed Rio Grande do Sul, Inst Pesquisas Hidraulicas
6 Univ Fed Rio Grande do Sul, Inst Pesquisas Hidraulicas
7 Univ Fed Rio Grande do Sul, Inst Pesquisas Hidraulicas
Endereço de e-Maildeicy@cptec.inpe.br
RevistaJournal of Hydrology
Volume344
Número1-2
Páginas112-122
Histórico (UTC)2007-11-23 17:18:49 :: deicy@cptec.inpe.br -> administrator ::
2008-06-29 02:37:18 :: administrator -> banon ::
2008-11-19 11:01:37 :: banon -> administrator ::
2021-02-10 19:01:18 :: administrator -> deicy@cptec.inpe.br :: 2007
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-Chaveforecasting
quantitative precipitation forecast
streamflow forecasting
ResumoForecasts of inflow into major reservoirs of the Brazilian hydroelectric power system are needed for the operational planning over periods ranging from a few hours to several months ahead. Medium-range forecasts of the order of a few days to two weeks have usually been obtained by simple ARMA-type models, which do not utilize information on observed or forecast precipitation, nor streamflow observations from upstream gauging stations. Recently, several different hydrological models have been tested to assess the potential improvements in forecasts that could be obtained by using observed and forecast precipitation as additional inputs. We present results from the use of a large-scale hydrological model applied to part of the Paranaiba river basin between Itumbiara and Sao Simao power plants (75,000 km(2)) using precipitation forecasts from the regional Eta model run by the Brazilian Center for Weather Prediction (CPTEC). Results were compared with those from the currently-used ARMA model and it is shown that forecast errors can be reduced considerably, during both wet and dry seasons. Further reductions in prediction errors may be anticipated from improved rainfall forecasts and of data quality used by the hydrological model. (C) 2007 Elsevier B.V. All rights reserved..
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvosdarticle.pdf
Grupo de Usuáriosadministrator
banon
deicy@cptec.inpe.br
Visibilidadeshown
Detentor da CópiaSID/SCD
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Acervo Hospedeirolcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyright creatorhistory descriptionlevel documentstage doi electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
7. Controle da descrição
e-Mail (login)deicy@cptec.inpe.br
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