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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/44SJQQ9
Repositorysid.inpe.br/plutao/2021/06.16.16.15.43   (restricted access)
Last Update2021:06.17.12.56.49 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2021/06.16.16.15.44
Metadata Last Update2022:04.03.22.27.12 (UTC) administrator
DOI10.3390/w13121613
ISSN2073-4441
Labellattes: 3752951275341381 10 RochaJúniorPSGGCPPCH:2021:EmSeRa
Citation KeyRochaJúniorPSGGCPPCH:2021:EmSeRa
TitleAn Empirical Seasonal Rainfall Forecasting Model for the Northeast Region of Brazil
Year2021
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size10293 KiB
2. Context
Author 1 Rocha Júnior, Rodrigo Lins da
 2 Pinto, David Duarte Cavalcante
 3 Silva, Fabricio Daniel dos Santos
 4 Gomes, Heliofabio Barros
 5 Gomes, Helber Barros
 6 Costa, Rafaela Lisboa
 7 Pereira, Marcos Paulo Santos
 8 Peña, Malaquias
 9 Coelho, Caio Augusto dos Santos
10 Herdies, Dirceu Luis
Resume Identifier 1
 2
 3
 4
 5
 6
 7
 8
 9
10 8JMKD3MGP5W/3C9JGTU
ORCID 1 0000-0003-4654-8947
 2 0000-0001-7032-6354
 3 0000-0002-3185-6413
 4
 5 0000-0001-9972-9990
 6
 7 0000-0003-4694-2370
Group 1
 2
 3
 4
 5
 6
 7
 8
 9 DIPTC-CGCT-INPE-MCTI-GOV-BR
10 DIMNT-CGCT-INPE-MCTI-GOV-BR
Affiliation 1 Universidade Federal de Alagoas (UFAL)
 2 Universidade Federal de Alagoas (UFAL)
 3 Universidade Federal de Alagoas (UFAL)
 4 Universidade Federal de Alagoas (UFAL)
 5 Universidade Federal de Alagoas (UFAL)
 6 Universidade Federal de Alagoas (UFAL)
 7 Universidade Federal de Alagoas (UFAL)
 8 University of Connecticut
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address 1 rrodrigo.junior@hotmail.com
 2 david.duarte@icat.ufal.br
 3 fabricio.santos@icat.ufal.br
 4 heliofabio@icat.ufal.br
 5 helber.gomes@icat.ufal.br
 6 rafaelalisboac@gmail.com
 7 marcospspereira@hotmail.com
 8 mpena@uconn.edu
 9 caio.augusto.coelho@gmail.com
10 dirceu.herdies@inpe.br
JournalWater
Volume13
Number12
Pages1613
Secondary MarkB3_ENGENHARIAS_I
History (UTC)2021-06-17 12:56:51 :: lattes -> administrator :: 2021
2022-04-03 22:27:12 :: 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
empirical model
North American Multi-Model Ensemble
forecast quality assessment
AbstractThe Northeast region of Brazil (NEB) is characterized by large climate variability that causes extreme and long unseasonal wet and dry periods. Despite significant model developments to improve seasonal forecasting for the NEB, the achievement of a satisfactory accuracy often remains a challenge, and forecasting methods aimed at reducing uncertainties regarding future climate are needed. In this work, we implement and assess the performance of an empirical model (EmpM) based on a decomposition of historical data into dominant modes of precipitation and seasonal forecast applied to the NEB domain. We analyzed the models performance for the February-MarchApril quarter and compared its results with forecasts based on data from the North American Multi-model Ensemble (NMME) project for the same period. We found that the first three leading precipitation modes obtained by empirical orthogonal functions (EOF) explained most of the rainfall variability for the season of interest. Thereby, this study focuses on them for the forecast evaluations. A teleconnection analysis shows that most of the variability in precipitation comes from sea surface temperature (SST) anomalies in various areas of the Pacific and the tropical Atlantic. The modes exhibit different spatial patterns across the NEB, with the first being concentrated in the northern half of the region and presenting remarkable associations with the El Niño-Southern Oscillation (ENSO) and the Atlantic Meridional Mode (AMM), both linked to the latitudinal migration of the intertropical convergence zone (ITCZ). As for the second mode, the correlations with oceanic regions and its loading pattern point to the influence of the incursion of frontal systems in the southern NEB. The time series of the third mode implies the influence of a lower frequency mode of variability, probably related to the Interdecadal Pacific Oscillation (IPO). The teleconnection patterns found in the analysis allowed for a reliable forecast of the time series of each mode, which, combined, result in the final rainfall prediction outputted by the model. Overall, the EmpM outperformed the post-processed NMME for most of the NEB, except for some areas along the northern region, where the NMME showed superiority.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > An Empirical Seasonal...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filerocha_empirical.pdf
User Grouplattes
Reader Groupadministrator
lattes
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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