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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZGivnK2Y/SdSFw
Repositorysid.inpe.br/mtc-m17@80/2007/11.21.11.55   (restricted access)
Last Update2007:11.21.11.55.50 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m17@80/2007/11.21.11.55.51
Metadata Last Update2021:02.10.19.01.18 (UTC) administrator
Secondary KeyINPE-14958-PRE/9870
ISSN0022-1694
Citation KeyCollischonnTuClChGuCaAl:2007:MeReIn
TitleMedium-range reservoir inflow predictions based on quantitative precipitation forecasts
Year2007
Secondary Date20070930
MonthSep.
Access Date2024, Apr. 28
Secondary TypePRE PI
Number of Files1
Size571 KiB
2. Context
Author1 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
Group1
2
3
4 DMD-INPE-MCT-BR
Affiliation1 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
e-Mail Addressdeicy@cptec.inpe.br
JournalJournal of Hydrology
Volume344
Number1-2
Pages112-122
History (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. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsforecasting
quantitative precipitation forecast
streamflow forecasting
AbstractForecasts 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..
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Medium-range reservoir inflow...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filesdarticle.pdf
User Groupadministrator
banon
deicy@cptec.inpe.br
Visibilityshown
Copy HolderSID/SCD
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Next Higher Units8JMKD3MGPCW/43SKC35
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectionlcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
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7. Description control
e-Mail (login)deicy@cptec.inpe.br
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