MM5 and WRF Performance Analysis Through Simulation of Surface Air Temperature in MRRJ

Detalhes bibliográficos
Autor(a) principal: Moraes, Nilton Oliveira
Data de Publicação: 2017
Outros Autores: Marton, Edilson, Pimentel, Luiz Claudio Gomes
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/7831
Resumo: The urbanization dynamics in big cities produces a highly degraded environment with serious damages to human life quality. The Metropolitan Region of Rio de Janeiro (MRRJ) have been exposed to several anthropogenic activities that produces environmental problems, for example: the intense modification of soil cover behind the phenomenon of Urban Heat Island (UHI). This study evaluates the performance of MM5 and WRF meteorological models to simulate the near surface air temperature variable in MRRJ. The model results are compared with observational data using statistical indexes to a period of UHI occurrence. The evaluation uses the daily cycle of air temperature and statistical indexes between simulated and observed data. The result shows a satisfactory performance of both models to reproduce the daily cycle of near surface air temperature for the entire study period. A slightly tendency to underestimate the maximum temperatures were observed on simulated results, as well as an overestimate of minimum temperatures. Analyzing the statistical indexes, a similar performance between the MM5 and WRF were presented according the observed data from SBGL, SBAF, SBJR, and SBSC stations. The largest deviations between predicted and observed results occurred to SBRJ station. The analysis of temporal variation and statistical indices showed that MM5 and WRF meteorological models are able to represent the near surface air temperature both to spatial distribution as to temporal variation.
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spelling MM5 and WRF Performance Analysis Through Simulation of Surface Air Temperature in MRRJAnálise do Desempenho dos Modelos MM5 e WRF na Simulação da Temperatura do Ar em Superfície na RMRJAir temperature; Statistical; WRF; MM5.Temperatura do ar; Estatística; WRF; MM5.The urbanization dynamics in big cities produces a highly degraded environment with serious damages to human life quality. The Metropolitan Region of Rio de Janeiro (MRRJ) have been exposed to several anthropogenic activities that produces environmental problems, for example: the intense modification of soil cover behind the phenomenon of Urban Heat Island (UHI). This study evaluates the performance of MM5 and WRF meteorological models to simulate the near surface air temperature variable in MRRJ. The model results are compared with observational data using statistical indexes to a period of UHI occurrence. The evaluation uses the daily cycle of air temperature and statistical indexes between simulated and observed data. The result shows a satisfactory performance of both models to reproduce the daily cycle of near surface air temperature for the entire study period. A slightly tendency to underestimate the maximum temperatures were observed on simulated results, as well as an overestimate of minimum temperatures. Analyzing the statistical indexes, a similar performance between the MM5 and WRF were presented according the observed data from SBGL, SBAF, SBJR, and SBSC stations. The largest deviations between predicted and observed results occurred to SBRJ station. The analysis of temporal variation and statistical indices showed that MM5 and WRF meteorological models are able to represent the near surface air temperature both to spatial distribution as to temporal variation.A dinâmica de urbanização nas metrópoles produz um ambiente urbano altamente degradado, com muitos efeitos graves sobre a qualidade de vida da população. Na Região Metropolitana do Rio de Janeiro (RMRJ) o uso intensivo das atividades antrópicas causam problemas ambientais, observando-se dentre outros a modificação do solo proporcionando o surgimento do fenômeno de Ilha de Calor Urbana (ICU). O presente trabalho objetiva avaliar o desempenho dos modelos meteorológicos MM5 e WRF em simular a variável temperatura do ar próximo à superfície na RMRJ. Os modelos são comparados baseados em índices estatísticos e dados observacionais em um período em que houve a ocorrência do fenômeno de ICU. Nas avaliações é analisado o ciclo diário de temperatura do ar e índices estatísticos a partir dos dados simulados e dados observados. Os resultados apontam um desempenho satisfatório de ambos os modelos em reproduzir o ciclo diário de temperatura do ar próximo à superfície para todo o período de estudo, com uma ligeira tendência dos dados simulados em subestimar as temperaturas máximas observadas e superestimar as mínimas temperaturas observadas. Os índices estatísticos revelam desempenho semelhante entre o MM5 e WRF, e uma adequada aderência aos dados observados de temperatura nas estações SBGL, SBAF, SBJR e SBSC. Os maiores desvios entre os dados simulados e observados ocorreram na estação SBRJ. A análise conjunta da variação temporal e dos índices estatísticos mostrou a habilidade dos modelos meteorológicos em representar a temperatura do ar próximo à superfície tanto na distribuição espacial bem como na variação temporal, e desta forma, existe uma confiabilidade em estudar o fenômeno de ICU através dos modelos MM5 e WRF na RMRJ.Universidade Federal do Rio de Janeiro2017-02-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/783110.11137/2014_2_161_168Anuário do Instituto de Geociências; Vol 37, No 2 (2014); 161-168Anuário do Instituto de Geociências; Vol 37, No 2 (2014); 161-1681982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJporhttps://revistas.ufrj.br/index.php/aigeo/article/view/7831/6312Copyright (c) 2014 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMoraes, Nilton OliveiraMarton, EdilsonPimentel, Luiz Claudio Gomes2017-02-15T17:28:22Zoai:www.revistas.ufrj.br:article/7831Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2017-02-15T17:28:22Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv MM5 and WRF Performance Analysis Through Simulation of Surface Air Temperature in MRRJ
Análise do Desempenho dos Modelos MM5 e WRF na Simulação da Temperatura do Ar em Superfície na RMRJ
title MM5 and WRF Performance Analysis Through Simulation of Surface Air Temperature in MRRJ
spellingShingle MM5 and WRF Performance Analysis Through Simulation of Surface Air Temperature in MRRJ
Moraes, Nilton Oliveira
Air temperature; Statistical; WRF; MM5.
Temperatura do ar; Estatística; WRF; MM5.
title_short MM5 and WRF Performance Analysis Through Simulation of Surface Air Temperature in MRRJ
title_full MM5 and WRF Performance Analysis Through Simulation of Surface Air Temperature in MRRJ
title_fullStr MM5 and WRF Performance Analysis Through Simulation of Surface Air Temperature in MRRJ
title_full_unstemmed MM5 and WRF Performance Analysis Through Simulation of Surface Air Temperature in MRRJ
title_sort MM5 and WRF Performance Analysis Through Simulation of Surface Air Temperature in MRRJ
author Moraes, Nilton Oliveira
author_facet Moraes, Nilton Oliveira
Marton, Edilson
Pimentel, Luiz Claudio Gomes
author_role author
author2 Marton, Edilson
Pimentel, Luiz Claudio Gomes
author2_role author
author
dc.contributor.author.fl_str_mv Moraes, Nilton Oliveira
Marton, Edilson
Pimentel, Luiz Claudio Gomes
dc.subject.por.fl_str_mv Air temperature; Statistical; WRF; MM5.
Temperatura do ar; Estatística; WRF; MM5.
topic Air temperature; Statistical; WRF; MM5.
Temperatura do ar; Estatística; WRF; MM5.
description The urbanization dynamics in big cities produces a highly degraded environment with serious damages to human life quality. The Metropolitan Region of Rio de Janeiro (MRRJ) have been exposed to several anthropogenic activities that produces environmental problems, for example: the intense modification of soil cover behind the phenomenon of Urban Heat Island (UHI). This study evaluates the performance of MM5 and WRF meteorological models to simulate the near surface air temperature variable in MRRJ. The model results are compared with observational data using statistical indexes to a period of UHI occurrence. The evaluation uses the daily cycle of air temperature and statistical indexes between simulated and observed data. The result shows a satisfactory performance of both models to reproduce the daily cycle of near surface air temperature for the entire study period. A slightly tendency to underestimate the maximum temperatures were observed on simulated results, as well as an overestimate of minimum temperatures. Analyzing the statistical indexes, a similar performance between the MM5 and WRF were presented according the observed data from SBGL, SBAF, SBJR, and SBSC stations. The largest deviations between predicted and observed results occurred to SBRJ station. The analysis of temporal variation and statistical indices showed that MM5 and WRF meteorological models are able to represent the near surface air temperature both to spatial distribution as to temporal variation.
publishDate 2017
dc.date.none.fl_str_mv 2017-02-15
dc.type.none.fl_str_mv

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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/7831
10.11137/2014_2_161_168
url https://revistas.ufrj.br/index.php/aigeo/article/view/7831
identifier_str_mv 10.11137/2014_2_161_168
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/7831/6312
dc.rights.driver.fl_str_mv Copyright (c) 2014 Anuário do Instituto de Geociências
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2014 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 37, No 2 (2014); 161-168
Anuário do Instituto de Geociências; Vol 37, No 2 (2014); 161-168
1982-3908
0101-9759
reponame:Anuário do Instituto de Geociências (Online)
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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)
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