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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/44SJQQ9
Repositóriosid.inpe.br/plutao/2021/06.16.16.15.43   (acesso restrito)
Última Atualização2021:06.17.12.56.49 (UTC) lattes
Repositório de Metadadossid.inpe.br/plutao/2021/06.16.16.15.44
Última Atualização dos Metadados2022:04.03.22.27.12 (UTC) administrator
DOI10.3390/w13121613
ISSN2073-4441
Rótulolattes: 3752951275341381 10 RochaJúniorPSGGCPPCH:2021:EmSeRa
Chave de CitaçãoRochaJúniorPSGGCPPCH:2021:EmSeRa
TítuloAn Empirical Seasonal Rainfall Forecasting Model for the Northeast Region of Brazil
Ano2021
Data de Acesso20 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho10293 KiB
2. Contextualização
Autor 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
Identificador de Curriculo 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
Grupo 1
 2
 3
 4
 5
 6
 7
 8
 9 DIPTC-CGCT-INPE-MCTI-GOV-BR
10 DIMNT-CGCT-INPE-MCTI-GOV-BR
Afiliação 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)
Endereço de e-Mail do Autor 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
RevistaWater
Volume13
Número12
Páginas1613
Nota SecundáriaB3_ENGENHARIAS_I
Histórico (UTC)2021-06-17 12:56:51 :: lattes -> administrator :: 2021
2022-04-03 22:27:12 :: administrator -> simone :: 2021
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveclimate prediction
empirical model
North American Multi-Model Ensemble
forecast quality assessment
ResumoThe 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.
ÁreaMET
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvorocha_empirical.pdf
Grupo de Usuárioslattes
Grupo de Leitoresadministrator
lattes
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal 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
7. Controle da descrição
e-Mail (login)simone
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