High-Resolution Numerical Weather Simulation at the South Shetland Islands, Antarctic, Using WRF
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Anuário do Instituto de Geociências (Online) |
Texto Completo: | https://revistas.ufrj.br/index.php/aigeo/article/view/7020 |
Resumo: | This paper presents run high-resolution Weather Research and Forecasting (WRF) model in the region of South Shetland Islands, in Antarctica. Simulation model are compared to observations taken aboard a Polar Ship during the transect in this region. A total of 4 different simulations were performed, varying the number of points of the innermost domain 127 x 127 and 187 x 187 and two microphysics schemes. The results of air temperature and dew point are highly dependent on the size of the internal domain. When the small domain with points 127 are used, the model produces abrupt fluctuations of these variables and highly underestimates them in both settings. This can be attributed the sensitivity of the model to the transfer of information between the different nested grids. With larger innermost grid with points 187, such fluctuations no longer occur. The underestimation temperatures in the WRF model is associated with the deficiency representation on days with stratiform cloudiness. Days with middle-level clouds model the temperature tend to be better represented. The air pressure is adequately simulated with both domains, as it is more dependent on large-scale weather patterns, derived from the global model, which provides the boundary conditions. The small differences in air pressure among the simulations are a consequence of the dynamical adjustment of the model. The microphysics scheme WSM5 results were better than scheme WSM3 for all variables tested here. |
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Anuário do Instituto de Geociências (Online) |
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High-Resolution Numerical Weather Simulation at the South Shetland Islands, Antarctic, Using WRFSimulação Numérica em Alta Resolução nas Ilhas Shetland do Sul, Antártica, Usando WRFWRF; High-resolution; South Shetland Islands; Polar Ship.WRF; Alta resolução; Ilhas Shetland do Sul; Navio Polar.This paper presents run high-resolution Weather Research and Forecasting (WRF) model in the region of South Shetland Islands, in Antarctica. Simulation model are compared to observations taken aboard a Polar Ship during the transect in this region. A total of 4 different simulations were performed, varying the number of points of the innermost domain 127 x 127 and 187 x 187 and two microphysics schemes. The results of air temperature and dew point are highly dependent on the size of the internal domain. When the small domain with points 127 are used, the model produces abrupt fluctuations of these variables and highly underestimates them in both settings. This can be attributed the sensitivity of the model to the transfer of information between the different nested grids. With larger innermost grid with points 187, such fluctuations no longer occur. The underestimation temperatures in the WRF model is associated with the deficiency representation on days with stratiform cloudiness. Days with middle-level clouds model the temperature tend to be better represented. The air pressure is adequately simulated with both domains, as it is more dependent on large-scale weather patterns, derived from the global model, which provides the boundary conditions. The small differences in air pressure among the simulations are a consequence of the dynamical adjustment of the model. The microphysics scheme WSM5 results were better than scheme WSM3 for all variables tested here.Este artigo apresenta simulações de alta resolução com o modelo Weather Research and Forecasting (WRF) para a Ilhas Shetland do Sul, na Antártica. Os dados observados são coletadas pelos sensores instalados no navio Polar durante o transecto nesta região. Este estudo incluiu quatro simulações diferentes; variando o número de pontos de grade no domínio interno entre 127 x 127 e 187 x 187 e duas configurações de microfísica. As simulações para a temperatura do ar e ponto de orvalho são altamente dependente do número de pontos de grade do domínio interno. Quando o domínio com 127 pontos é usado o modelo reproduz flutuações abruptas dessas variáveis e altas subestimativas em ambas as configurações. Isto pode ser atribuído à sensibilidade associada à transferência de informações entre as diferentes grades aninhadas. Com a expansão da grade interna em 187 pontos as flutuações deixam de ocorrer. A subestimativa das temperaturas no modelo WRF também é associada com a deficiência na representação de nebulosidade estratiforme. Nos dias com nebulosidade média o modelo simula melhor essas variáveis. Já a pressão é adequadamente simulada com os dois domínios e é mais dependente de padrões climáticos de grande escala derivadas do modelo global. As pequenas diferenças na pressão são devido ao ajuste dinâmico do modelo. O esquema microfísico WSM5 apresenta resultados melhores que o WSM3 para todas as variáveis testadas aqui.Universidade Federal do Rio de Janeiro2016-10-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/702010.11137/2016_3_105_110Anuário do Instituto de Geociências; Vol 39, No 3 (2016); 105-110Anuário do Instituto de Geociências; Vol 39, No 3 (2016); 105-1101982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJporhttps://revistas.ufrj.br/index.php/aigeo/article/view/7020/5587Copyright (c) 2016 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessComin, Alcimoni NelciAcevedo, Otávio CostaSouza, Ronald Buss de2017-02-15T18:21:53Zoai:www.revistas.ufrj.br:article/7020Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2017-02-15T18:21:53Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
High-Resolution Numerical Weather Simulation at the South Shetland Islands, Antarctic, Using WRF Simulação Numérica em Alta Resolução nas Ilhas Shetland do Sul, Antártica, Usando WRF |
title |
High-Resolution Numerical Weather Simulation at the South Shetland Islands, Antarctic, Using WRF |
spellingShingle |
High-Resolution Numerical Weather Simulation at the South Shetland Islands, Antarctic, Using WRF Comin, Alcimoni Nelci WRF; High-resolution; South Shetland Islands; Polar Ship. WRF; Alta resolução; Ilhas Shetland do Sul; Navio Polar. |
title_short |
High-Resolution Numerical Weather Simulation at the South Shetland Islands, Antarctic, Using WRF |
title_full |
High-Resolution Numerical Weather Simulation at the South Shetland Islands, Antarctic, Using WRF |
title_fullStr |
High-Resolution Numerical Weather Simulation at the South Shetland Islands, Antarctic, Using WRF |
title_full_unstemmed |
High-Resolution Numerical Weather Simulation at the South Shetland Islands, Antarctic, Using WRF |
title_sort |
High-Resolution Numerical Weather Simulation at the South Shetland Islands, Antarctic, Using WRF |
author |
Comin, Alcimoni Nelci |
author_facet |
Comin, Alcimoni Nelci Acevedo, Otávio Costa Souza, Ronald Buss de |
author_role |
author |
author2 |
Acevedo, Otávio Costa Souza, Ronald Buss de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Comin, Alcimoni Nelci Acevedo, Otávio Costa Souza, Ronald Buss de |
dc.subject.por.fl_str_mv |
WRF; High-resolution; South Shetland Islands; Polar Ship. WRF; Alta resolução; Ilhas Shetland do Sul; Navio Polar. |
topic |
WRF; High-resolution; South Shetland Islands; Polar Ship. WRF; Alta resolução; Ilhas Shetland do Sul; Navio Polar. |
description |
This paper presents run high-resolution Weather Research and Forecasting (WRF) model in the region of South Shetland Islands, in Antarctica. Simulation model are compared to observations taken aboard a Polar Ship during the transect in this region. A total of 4 different simulations were performed, varying the number of points of the innermost domain 127 x 127 and 187 x 187 and two microphysics schemes. The results of air temperature and dew point are highly dependent on the size of the internal domain. When the small domain with points 127 are used, the model produces abrupt fluctuations of these variables and highly underestimates them in both settings. This can be attributed the sensitivity of the model to the transfer of information between the different nested grids. With larger innermost grid with points 187, such fluctuations no longer occur. The underestimation temperatures in the WRF model is associated with the deficiency representation on days with stratiform cloudiness. Days with middle-level clouds model the temperature tend to be better represented. The air pressure is adequately simulated with both domains, as it is more dependent on large-scale weather patterns, derived from the global model, which provides the boundary conditions. The small differences in air pressure among the simulations are a consequence of the dynamical adjustment of the model. The microphysics scheme WSM5 results were better than scheme WSM3 for all variables tested here. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-10-03 |
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/7020 10.11137/2016_3_105_110 |
url |
https://revistas.ufrj.br/index.php/aigeo/article/view/7020 |
identifier_str_mv |
10.11137/2016_3_105_110 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufrj.br/index.php/aigeo/article/view/7020/5587 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 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 39, No 3 (2016); 105-110 Anuário do Instituto de Geociências; Vol 39, No 3 (2016); 105-110 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|| |
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1797053539147579392 |