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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/47HKBHH
Repositorysid.inpe.br/mtc-m21d/2022/09.02.15.52   (restricted access)
Last Update2022:09.02.15.52.47 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2022/09.02.15.52.47
Metadata Last Update2023:01.03.16.46.15 (UTC) administrator
DOI10.1016/j.cliser.2022.100321
ISSN2405-8807
Citation KeyFreireCoeFreAlvKub:2022:AsCoDy
TitleAssessing the contribution of dynamical downscaling to austral autumn Northeast Brazil seasonal precipitation prediction performance
Year2022
MonthAug.
Access Date2024, May 09
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size5350 KiB
2. Context
Author1 Freire, Juliana Larise Mendonça
2 Coelho, Caio Augusto dos Santos
3 Freitas, Saulo Ribeiro de
4 Alves, Rita C. M.
5 Kubota, Paulo Yoshio
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JJ7M
Group1 MET-MET-DIPGR-INPE-MCTI-GOV-BR
2 DIPTC-CGCT-INPE-MCTI-GOV-BR
3 DIMNT-CGCT-INPE-MCTI-GOV-BR
4
5 DIMNT-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Universidade Federal do Rio Grande do Sul (UFRGS)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 jullianafreire@isi-er.com.br
2 caio.augusto.coelho@gmail.com
3 saulo.r.de.freitas@gmail.com
4
5 pkubota@gmail.com
JournalClimate Services
Volume27
Pagese100321
History (UTC)2022-09-02 15:53:24 :: simone -> administrator :: 2022
2023-01-03 16:46:15 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsDynamic downscaling
Precipitation
Seasonal climate predictions
AbstractThis study aims to assess the contribution to prediction performance of dynamically downscaling seasonal precipitation for the Brazilian Northeast region (NEB) produced in February with a global climate model for the austral autumn (March-April-May). This season includes the peak precipitation period of a large portion of this region. To achieve this aim, 32 years of hindcasts for the period 19792010 were produced with a regional model known as the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS) run at 30 km spatial resolution, which was unidirectional nested to a global model run at approximately 200 km spatial resolution. The used global model was the Atmospheric General Circulation Models of the Brazilian Center for Weather Forecast and Climate Studies (CPTEC/AGCM), which provided initial and lateral boundary conditions for BRAMS. Hindcast ensembles of 10 members were produced with both the global and the regional models, simulating an operational prediction environment using persisted sea surface temperature (SST) anomalies observed in the previous January of each of the 32 hindcast years as oceanic boundary conditions. A comparative deterministic and probabilistic performance assessment of the two models was conducted. The deterministic assessment included the investigation of the mean error (bias) of the produced seasonal precipitation hindcasts, the degree of linear association between the observed and predicted precipitation anomalies measuring phase error through the correlation of the ensemble means with the corresponding observations, and amplitude error investigated through the ratio between the hindcast ensemble mean and observed variances. The probabilistic assessment was performed investigation the reliability, resolution, and discrimination characteristics of tercile probability predictions for the above normal and below normal categories, and also for probabilistic predictions for the occurrence of the symmetric event positive (or negative) precipitation anomaly. The two investigated modeling approaches showed similar performance, with an indication for dynamically downscaled predictions to have reduced amplitude error and slightly improved reliability and resolution compared to the predictions produced with the global model.
AreaMET
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Assessing the contribution...
Arrangement 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessing the contribution...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target File1-s2.0-S2405880722000395-main.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.59.52 1
sid.inpe.br/bibdigital/2013/10.15.01.34 1
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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