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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/45NBPK8
Repositorysid.inpe.br/mtc-m21d/2021/11.03.13.04   (restricted access)
Last Update2021:11.03.13.04.10 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2021/11.03.13.04.10
Metadata Last Update2022:04.03.22.27.39 (UTC) administrator
DOI10.1007/s00382-021-05845-2
ISSN0930-7575
Citation KeyOsmanCoelVera:2021:CaCoSe
TitleCalibration and combination of seasonal precipitation forecasts over South America using Ensemble Regression
Year2021
MonthNov.
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2466 KiB
2. Context
Author1 Osman, Marisol
2 Coelho, Caio Augusto dos Santos
3 Vera, Carolina S.
ORCID1 0000-0002-6275-1454
2 0000-0002-9695-5113
3 0000-0003-4032-5232
Group1
2 DIPTC-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Universidad de Buenos Aires
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidad de Buenos Aires
Author e-Mail Address1 osman@cima.fcen.uba.ar
2 caio.augusto.coelho@gmail.com
JournalClimate Dynamics
Volume57
Number9/10
Pages2889-2904
Secondary MarkA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE A2_ENGENHARIAS_I A2_ASTRONOMIA_/_FÍSICA B1_CIÊNCIA_DA_COMPUTAÇÃO
History (UTC)2021-11-03 13:04:10 :: simone -> administrator ::
2021-11-03 13:04:12 :: administrator -> simone :: 2021
2021-11-03 13:04:26 :: simone -> administrator :: 2021
2022-04-03 22:27:39 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsClimate prediction
NMME
Multi-model ensemble
AbstractModels participating in the North American Multi Model Ensemble project were calibrated and combined to produce reliable precipitation probabilistic forecast over South America. Ensemble Regression method (EREG) was chosen as it is computationally affordable and uses all the information from the ensemble. Two different approaches based on EREG were applied to combine forecasts while different ways to weight the relative contribution of each model to the ensemble were used. All the consolidated forecast obtained were confronted against the simple multi-model ensemble. This work assessed the performance of the predictions initialized in November to forecast the austral summer (December-January-February) for the period 1982-2010 using different probabilistic measures. Results show that the consolidated forecasts produce more skillful forecast than the simple multi-model ensemble, although no major differences were found between the combination and weighting approaches considered. The regions that presented better results are well-known to be impacted by El Nino Southern Oscillation.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Calibration and combination...
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4. Conditions of access and use
Languageen
Target Fileosman_calibration.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
DisseminationWEBSCI; PORTALCAPES; AGU; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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