Sea Surface Temperature Optimization Evaluation in the Passage of an Explosive Cyclone in the Southwest Atlantic Ocean
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anuário do Instituto de Geociências (Online) |
Texto Completo: | https://revistas.ufrj.br/index.php/aigeo/article/view/30169 |
Resumo: | In numerical weather prediction, the updating of the Sea Surface Temperature (SST) can influence atmospheric phenomena on different scales. Thus, a simplified model of the oceanic mixed layer (OML), was included as a subroutine in the Brazilian Regional Atmospheric System (BRAMS) in order to update the SST at each time step, with low computational cost. Comparisons between atmospheric simulations using an active OML and climatological SST mask, which is part of the BRAMS model, were made. There were significant direct variations in the latent and sensible heat fluxes as well as in cloudiness: the warmer the SST, the greater the response of these variables. On the other hand, although there was no significant increase in precipitation rates, there was higher rainfall when the SST was higher. The variations in the sea level pressure were to the order of 1-2 hPa, indicating that the variations in surface flows are related to the maintenance and persistence of systems and not to their deepening. |
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Anuário do Instituto de Geociências (Online) |
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Sea Surface Temperature Optimization Evaluation in the Passage of an Explosive Cyclone in the Southwest Atlantic OceanHeat fluxes; Oceanic mixed layer; Extratropical cycloneIn numerical weather prediction, the updating of the Sea Surface Temperature (SST) can influence atmospheric phenomena on different scales. Thus, a simplified model of the oceanic mixed layer (OML), was included as a subroutine in the Brazilian Regional Atmospheric System (BRAMS) in order to update the SST at each time step, with low computational cost. Comparisons between atmospheric simulations using an active OML and climatological SST mask, which is part of the BRAMS model, were made. There were significant direct variations in the latent and sensible heat fluxes as well as in cloudiness: the warmer the SST, the greater the response of these variables. On the other hand, although there was no significant increase in precipitation rates, there was higher rainfall when the SST was higher. The variations in the sea level pressure were to the order of 1-2 hPa, indicating that the variations in surface flows are related to the maintenance and persistence of systems and not to their deepening.Universidade Federal do Rio de JaneiroPalmeira, Ana Cristina Pinto de AlmeidaCamargo, Ricardo dePalmeira, Ronaldo Maia de Jesus2019-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/3016910.11137/2019_2_245_258Anuário do Instituto de Geociências; Vol 42, No 2 (2019); 245-258Anuário do Instituto de Geociências; Vol 42, No 2 (2019); 245-2581982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJenghttps://revistas.ufrj.br/index.php/aigeo/article/view/30169/17065Copyright (c) 2019 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess2019-12-10T15:04:16Zoai:www.revistas.ufrj.br:article/30169Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2019-12-10T15:04:16Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Sea Surface Temperature Optimization Evaluation in the Passage of an Explosive Cyclone in the Southwest Atlantic Ocean |
title |
Sea Surface Temperature Optimization Evaluation in the Passage of an Explosive Cyclone in the Southwest Atlantic Ocean |
spellingShingle |
Sea Surface Temperature Optimization Evaluation in the Passage of an Explosive Cyclone in the Southwest Atlantic Ocean Palmeira, Ana Cristina Pinto de Almeida Heat fluxes; Oceanic mixed layer; Extratropical cyclone |
title_short |
Sea Surface Temperature Optimization Evaluation in the Passage of an Explosive Cyclone in the Southwest Atlantic Ocean |
title_full |
Sea Surface Temperature Optimization Evaluation in the Passage of an Explosive Cyclone in the Southwest Atlantic Ocean |
title_fullStr |
Sea Surface Temperature Optimization Evaluation in the Passage of an Explosive Cyclone in the Southwest Atlantic Ocean |
title_full_unstemmed |
Sea Surface Temperature Optimization Evaluation in the Passage of an Explosive Cyclone in the Southwest Atlantic Ocean |
title_sort |
Sea Surface Temperature Optimization Evaluation in the Passage of an Explosive Cyclone in the Southwest Atlantic Ocean |
author |
Palmeira, Ana Cristina Pinto de Almeida |
author_facet |
Palmeira, Ana Cristina Pinto de Almeida Camargo, Ricardo de Palmeira, Ronaldo Maia de Jesus |
author_role |
author |
author2 |
Camargo, Ricardo de Palmeira, Ronaldo Maia de Jesus |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Palmeira, Ana Cristina Pinto de Almeida Camargo, Ricardo de Palmeira, Ronaldo Maia de Jesus |
dc.subject.none.fl_str_mv |
|
dc.subject.por.fl_str_mv |
Heat fluxes; Oceanic mixed layer; Extratropical cyclone |
topic |
Heat fluxes; Oceanic mixed layer; Extratropical cyclone |
description |
In numerical weather prediction, the updating of the Sea Surface Temperature (SST) can influence atmospheric phenomena on different scales. Thus, a simplified model of the oceanic mixed layer (OML), was included as a subroutine in the Brazilian Regional Atmospheric System (BRAMS) in order to update the SST at each time step, with low computational cost. Comparisons between atmospheric simulations using an active OML and climatological SST mask, which is part of the BRAMS model, were made. There were significant direct variations in the latent and sensible heat fluxes as well as in cloudiness: the warmer the SST, the greater the response of these variables. On the other hand, although there was no significant increase in precipitation rates, there was higher rainfall when the SST was higher. The variations in the sea level pressure were to the order of 1-2 hPa, indicating that the variations in surface flows are related to the maintenance and persistence of systems and not to their deepening. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-01 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.ufrj.br/index.php/aigeo/article/view/30169 10.11137/2019_2_245_258 |
url |
https://revistas.ufrj.br/index.php/aigeo/article/view/30169 |
identifier_str_mv |
10.11137/2019_2_245_258 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.ufrj.br/index.php/aigeo/article/view/30169/17065 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
dc.source.none.fl_str_mv |
Anuário do Instituto de Geociências; Vol 42, No 2 (2019); 245-258 Anuário do Instituto de Geociências; Vol 42, No 2 (2019); 245-258 1982-3908 0101-9759 reponame:Anuário do Instituto de Geociências (Online) instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Anuário do Instituto de Geociências (Online) |
collection |
Anuário do Instituto de Geociências (Online) |
repository.name.fl_str_mv |
Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
anuario@igeo.ufrj.br|| |
_version_ |
1797053536773603328 |