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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/42JGB6H
Repositorysid.inpe.br/mtc-m21c/2020/05.30.17.58   (restricted access)
Last Update2020:11.03.10.48.48 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21c/2020/05.30.17.58.08
Metadata Last Update2022:01.04.01.35.10 (UTC) administrator
DOI10.1002/qj.3725
ISSN0035-9009
Citation KeyGuimarãesCWKBFBS:2020:CoHiQu
TitleConfiguration and hindcast quality assessment of a Brazilian global sub-seasonal prediction system
Year2020
MonthApr.
Access Date2024, Apr. 24
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size7976 KiB
2. Context
Author1 Guimarães, Bruno dos Santos
2 Coelho, Caio Augusto dos Santos
3 Woolnough, Steven J.
4 Kubota, Paulo Yoshio
5 Bastarz, Carlos Frederico
6 Figueroa, Silvio NIlo
7 Bonatti, José Paulo
8 Souza, Dayana Castilho de
Resume Identifier1
2
3
4
5
6
7 8JMKD3MGP5W/3C9JHJ7
ORCID1 0000-0003-3855-5362
2
3
4 0000-0003-4858-1337
Group1 MET-MET-SESPG-INPE-MCTIC-GOV-BR
2 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
3
4 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
5 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
6
7 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
8 YYY-CGCPT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 University of Reading
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2 caio.coelho@cptec.inpe.br
3
4 paulo.kubota@inpe.br
5 carlos.bastarz@inpe.br
6 silvio.figueroa@inpe.br
JournalQuarterly Journal of the Royal Meteorological Society
Volume146
Number728
Pages1067-1084
Secondary MarkA1_GEOCIÊNCIAS A2_ENGENHARIAS_I
History (UTC)2020-05-30 18:03:25 :: simone -> administrator :: 2020
2020-06-01 21:02:30 :: administrator -> simone :: 2020
2020-06-19 13:45:40 :: simone -> administrator :: 2020
2020-07-08 17:10:56 :: administrator -> simone :: 2020
2020-11-03 10:48:48 :: simone -> administrator :: 2020
2022-01-04 01:35:10 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsforecast verification
intraseasonal variability
MJO
AbstractThis article presents the Centre for Weather Forecast and Climate Studies (CPTEC) developments for configuring a global sub-seasonal prediction system and assessing its ability in producing retrospective predictions (hindcasts) for meteorological conditions of the following 4 weeks. Six Brazilian Global Atmospheric Model version 1.2 (BAM-1.2) configurations were tested in terms of vertical resolution, deep convection and boundary-layer parametrizations, as well as soil moisture initialization. The aim was to identify the configuration with best performance when predicting weekly accumulated precipitation, weekly mean 2 m temperature (T2M) and the Madden-Julian Oscillation (MJO) daily evolution. Hindcasts assessment was performed for 12 extended austral summers (November-March, 1999/2000- 2010/2011) with two start dates for each month for the six configurations and two ensemble approaches. The first approach, referred to as Multiple Configurations Ensemble (MCEN), was formed of one ensemble member from each of the six configurations. The second, referred to as Initial Condition Ensemble (ICEN), was composed of six ensemble members produced with the chosen configuration as the best using an empirical orthogonal function (EOF) perturbation methodology. The chosen configuration presented high correlation and low root-mean-squared error (RMSE) for precipitation and T2M anomaly predictions at the first week and these indices degraded as lead time increased, maintaining moderate performance up to week-4 over the tropical Pacific and northern South America. For MJO predictions, this configuration crossed the 0.5 bivariate correlation threshold in 18 days. The ensemble approaches improved the correlation and RMSE of precipitation and T2M anomalies. ICEN improved precipitation and T2M predictions performance over eastern South America at week-3 and over northern South America at week-4. Improvements were also noticed for MJO predictions. The time to cross the above-mentioned threshold increased to 21 days for MCEN and to 20 days for ICEN.
AreaMET
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Configuration and hindcast...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Configuration and hindcast...
Arrangement 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Configuration and hindcast...
Arrangement 4urlib.net > BDMCI > Fonds > Produção anterior à 2021 > YYY-PCI-CGCPT > Configuration and hindcast...
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4. Conditions of access and use
Languageen
Target Fileguimaraes_configuration2.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/43SKC35
8JMKD3MGPCW/43SQKNE
8JMKD3MGPCW/445QBLE
Citing Item Listsid.inpe.br/bibdigital/2021/01.02.22.14 1
DisseminationWEBSCI
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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