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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP8W/35PRAAE
Repositorysid.inpe.br/mtc-m18@80/2009/08.03.17.44   (restricted access)
Last Update2009:10.08.13.32.48 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m18@80/2009/08.03.17.44.38
Metadata Last Update2021:01.02.03.43.54 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1002/joc.1813
ISSN0899-8418
Citation KeyPezziKaya:2009:AnSePr
TitleAn analysis of the seasonal precipitation forecasts in South America using wavelets
Year2009
MonthSep.
Access Date2024, Apr. 27
Secondary TypePRE PI
Number of Files2
Size996 KiB
2. Context
Author1 Pezzi, Luciano Ponzi
2 Kayano, Mary Toshie
Resume Identifier1 8JMKD3MGP5W/3C9JHM8
2 8JMKD3MGP5W/3C9JHST
Group1 DMD-CPT-INPE-MCT-BR
2 DMD-CPT-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 luciano.pezzi@cptec.inpe.br
2 mary.kayano@cptec.inpe.br
e-Mail Addressdeicy@cptec.inpe.br
JournalInternational Journal of Climatology
Volume29
Number11
Pages1560-1573
History (UTC)2009-10-08 13:32:48 :: deicy@cptec.inpe.br -> administrator ::
2010-05-11 01:09:52 :: administrator -> deicy@cptec.inpe.br ::
2011-05-22 10:05:18 :: deicy@cptec.inpe.br -> administrator ::
2011-11-04 11:06:26 :: administrator -> deicy@cptec.inpe.br :: 2009
2011-11-04 11:44:57 :: deicy@cptec.inpe.br -> administrator :: 2009
2021-01-02 03:43:54 :: administrator -> simone :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsseasonal forecast
ensemble forecast
South America precipitation
wavelet analysis
AbstractA post-processing technique was applied to statistically correct the seasonal rainfall forecasts over South America (SA). The aim of this work was to reduce errors in the seasonal climate simulations obtained from the Centro de Previsao de Tempo e Estudos Clim´aticos (CPTEC) atmospheric general circulation model (AGCM) which was run with different deep cumulus convection parameterizations. One of the main contributions of this study is the discussion of the super-ensemble approach to reduce errors in the seasonal rainfall prediction for SA. A novel aspect here is the use of the wavelet technique to compare forecast and observed time series by investigating their time-frequency structures. This methodology has not yet been applied to super-ensemble model validations. The statistical algorithm used in the superensemble technique was based on the linear multiple regression method. The time series of the super-ensemble forecast (FCT), arithmetic averaged forecast (MEM) and individual model forecasts and the observed (OBS) ones for selected areas of SA were compared by calculating the root mean square errors (RMSEs) and by applying the wavelet technique on these time series. In general, for the analysed areas we obtained a super-ensemble skill superior to that for the MEM. The wavelet analysis proved to be very useful to compare forecast and observed time series. In fact, differences and similarities among the time series such as the dominant scale of variability and the time location of the largest variances in the time series were detected with the wavelet analyses.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > An analysis of...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filean analysis.pdf
User Groupadministrator
deicy@cptec.inpe.br
Visibilityshown
Archiving Policydenypublisher denyfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m18@80/2008/03.17.15.17.24
Next Higher Units8JMKD3MGPCW/43SKC35
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
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