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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorysid.inpe.br/iris@1915/2005/05.03.13.47
Last Update2005:05.03.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/iris@1915/2005/05.03.13.47.30
Metadata Last Update2022:03.26.18.03.31 (UTC) administrator
Secondary KeyINPE-12505-PRE/7807
Citation KeyOliveiraPrak:2002:PrChSu
TitleProcedures for the choice of sub-ensemble with better use for the climat forecast
FormatOn-line
Year2002
Secondary Date20050503
Access Date2024, May 20
Secondary TypePRE CI
Number of Files1
Size22 KiB
2. Context
Author1 Oliveira, Gilvan Sampaio de
2 Prakki, Satyamurty
Resume Identifier1 8JMKD3MGP5W/3C9JHBE
Group1 DMA-INPE-MCT-BR
2 DMD-INPE-MCT-BR
Affiliation1 CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil
e-Mail Addressatus@cptec.inpe.br
Conference NameCBS Technical Conference on Data Processing and Forecasting Systems.
Conference LocationCairns - Australia
Date2-3 Dec. 2002
PublisherWMO
Tertiary TypePosters
OrganizationWMO
History (UTC)2005-05-17 18:40:19 :: fabia -> administrator ::
2008-06-10 21:16:25 :: administrator -> estagiario ::
2010-05-11 16:55:55 :: estagiario -> administrator ::
2022-03-26 18:03:31 :: administrator -> marciana :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
AbstractThis paper addresses important questions about ensemble climate forecasting system. Given an atmospheric general circulation model (AGCM) ensemble run with a large number of independent integrations, is there a subensemble whose mean, in principle, improves the forecast performance? Is there a way to identify a priori (before running the forecast integrations) a subensemble whose mean can possibly give a performance better or equal to the performance of the whole ensemble? The model is essentially run in forecast mode with fixed SST anomalies and predicted SST anomalies using 25 members. To answer these questions, a subgroup of members with the anomaly correlation coefficient (CCA) equal to or greater than CCA of the complete ensemble during the spin up period are chosen. The mean of the forecasts based on this subset is found to have a spatial correlation with the observed precipitation of the same order of the complete ensemble. The size of this subset is found to be around 9 members. This method can be employed as a useful tool for economizing the computer time and to obtain early seasonal forecasts. The methods employed in this study can be extended to other regions of the globe, because the best subset and its size can differ from region to region, from season to season and from year to year.
AreaMET
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Procedures for the...
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doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/sid.inpe.br/iris@1915/2005/05.03.13.47
zipped data URLhttp://urlib.net/zip/sid.inpe.br/iris@1915/2005/05.03.13.47
Languageen
Target FileOliveira_Procedures for the choice.pdf.pdf
User Groupadministrator
fabia
Visibilityshown
Copy HolderSID/SCD
5. Allied materials
Next Higher Units8JMKD3MGPCW/43SKC35
8JMKD3MGPCW/46JKC45
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.24 1
Host Collectioncptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
Empty Fieldsarchivingpolicy archivist booktitle callnumber copyright creatorhistory descriptionlevel dissemination documentstage doi edition editor electronicmailaddress identifier isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission rightsholder schedulinginformation secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
7. Description control
e-Mail (login)marciana
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