Weather forecasting for Eastern Amazon with OLAM model

Detalhes bibliográficos
Autor(a) principal: Silva, Renato Ramos da
Data de Publicação: 2014
Outros Autores: Gandu, Adilson Wagner, Cohen, Julia Clarinda, Mota, Paulo KuhnMaria Aurora
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
Texto Completo: http://www.repositorio.ufc.br/handle/riufc/68828
Resumo: The OLAM model has as its characteristics the advantage to represent simultaneously the global and regional meteorological phenomena using the application of a grid refinement scheme. During the REMAM project the model was applied for a few case studies to evaluate its performance on numerical weather prediction for the eastern Amazon region. Case studies were performed for the twelve months of the year of 2009. The model results for those numerical experiments were compared with the observed data for the region of study. Precipitation data analysis showed that OLAM is able to represent the average mean accumulated precipitation and the seasonal features of the events occurrence, but can't predict the local total amount of precipitation. However, individual evaluation for a few cases had shown that OLAM was able to represent the dynamics and forecast a few days in advance the development of coastal meteorological systems such as the squall lines that are one of the most important precipitating systems of the Amazon.
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spelling Weather forecasting for Eastern Amazon with OLAM modelPrevisão para o leste da Amazônia com o modelo OLAMWeather forecastingOLAMBrazil - AmazonTempo - PrevisãoBrasil - Amazônia (AM)The OLAM model has as its characteristics the advantage to represent simultaneously the global and regional meteorological phenomena using the application of a grid refinement scheme. During the REMAM project the model was applied for a few case studies to evaluate its performance on numerical weather prediction for the eastern Amazon region. Case studies were performed for the twelve months of the year of 2009. The model results for those numerical experiments were compared with the observed data for the region of study. Precipitation data analysis showed that OLAM is able to represent the average mean accumulated precipitation and the seasonal features of the events occurrence, but can't predict the local total amount of precipitation. However, individual evaluation for a few cases had shown that OLAM was able to represent the dynamics and forecast a few days in advance the development of coastal meteorological systems such as the squall lines that are one of the most important precipitating systems of the Amazon.The OLAM model has as its characteristics the advantage to represent simultaneously the global and regional meteorological phenomena using the application of a grid refinement scheme. During the REMAM project the model was applied for a few case studies to evaluate its performance on numerical weather prediction for the eastern Amazon region. Case studies were performed for the twelve months of the year of 2009. The model results for those numerical experiments were compared with the observed data for the region of study. Precipitation data analysis showed that OLAM is able to represent the average mean accumulated precipitation and the seasonal features of the events occurrence, but can't predict the local total amount of precipitation. However, individual evaluation for a few cases had shown that OLAM was able to represent the dynamics and forecast a few days in advance the development of coastal meteorological systems such as the squall lines that are one of the most important precipitating systems of the Amazon.Revista Brasileira de Meteorologia,2022-10-14T12:16:05Z2022-10-14T12:16:05Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSILVA, Renato Ramos da; GANDÚ, Adilson Wagner; COHEN, Julia Clarinda; MOTA, Paulo KuhnMaria Aurora. Weather forecasting for Eastern Amazon with OLAM model. Revista Brasileira de Meteorologia , Rio de janeiro, v. 29, p. 11-22, 20140102-7786http://www.repositorio.ufc.br/handle/riufc/68828Silva, Renato Ramos daGandu, Adilson WagnerCohen, Julia ClarindaMota, Paulo KuhnMaria Auroraengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2023-01-17T17:51:41Zoai:repositorio.ufc.br:riufc/68828Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:48:05.772838Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Weather forecasting for Eastern Amazon with OLAM model
Previsão para o leste da Amazônia com o modelo OLAM
title Weather forecasting for Eastern Amazon with OLAM model
spellingShingle Weather forecasting for Eastern Amazon with OLAM model
Silva, Renato Ramos da
Weather forecasting
OLAM
Brazil - Amazon
Tempo - Previsão
Brasil - Amazônia (AM)
title_short Weather forecasting for Eastern Amazon with OLAM model
title_full Weather forecasting for Eastern Amazon with OLAM model
title_fullStr Weather forecasting for Eastern Amazon with OLAM model
title_full_unstemmed Weather forecasting for Eastern Amazon with OLAM model
title_sort Weather forecasting for Eastern Amazon with OLAM model
author Silva, Renato Ramos da
author_facet Silva, Renato Ramos da
Gandu, Adilson Wagner
Cohen, Julia Clarinda
Mota, Paulo KuhnMaria Aurora
author_role author
author2 Gandu, Adilson Wagner
Cohen, Julia Clarinda
Mota, Paulo KuhnMaria Aurora
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva, Renato Ramos da
Gandu, Adilson Wagner
Cohen, Julia Clarinda
Mota, Paulo KuhnMaria Aurora
dc.subject.por.fl_str_mv Weather forecasting
OLAM
Brazil - Amazon
Tempo - Previsão
Brasil - Amazônia (AM)
topic Weather forecasting
OLAM
Brazil - Amazon
Tempo - Previsão
Brasil - Amazônia (AM)
description The OLAM model has as its characteristics the advantage to represent simultaneously the global and regional meteorological phenomena using the application of a grid refinement scheme. During the REMAM project the model was applied for a few case studies to evaluate its performance on numerical weather prediction for the eastern Amazon region. Case studies were performed for the twelve months of the year of 2009. The model results for those numerical experiments were compared with the observed data for the region of study. Precipitation data analysis showed that OLAM is able to represent the average mean accumulated precipitation and the seasonal features of the events occurrence, but can't predict the local total amount of precipitation. However, individual evaluation for a few cases had shown that OLAM was able to represent the dynamics and forecast a few days in advance the development of coastal meteorological systems such as the squall lines that are one of the most important precipitating systems of the Amazon.
publishDate 2014
dc.date.none.fl_str_mv 2014
2022-10-14T12:16:05Z
2022-10-14T12:16:05Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv SILVA, Renato Ramos da; GANDÚ, Adilson Wagner; COHEN, Julia Clarinda; MOTA, Paulo KuhnMaria Aurora. Weather forecasting for Eastern Amazon with OLAM model. Revista Brasileira de Meteorologia , Rio de janeiro, v. 29, p. 11-22, 2014
0102-7786
http://www.repositorio.ufc.br/handle/riufc/68828
identifier_str_mv SILVA, Renato Ramos da; GANDÚ, Adilson Wagner; COHEN, Julia Clarinda; MOTA, Paulo KuhnMaria Aurora. Weather forecasting for Eastern Amazon with OLAM model. Revista Brasileira de Meteorologia , Rio de janeiro, v. 29, p. 11-22, 2014
0102-7786
url http://www.repositorio.ufc.br/handle/riufc/68828
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Revista Brasileira de Meteorologia,
publisher.none.fl_str_mv Revista Brasileira de Meteorologia,
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
repository.name.fl_str_mv Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv bu@ufc.br || repositorio@ufc.br
_version_ 1813028951843405825

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