Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil

Detalhes bibliográficos
Autor(a) principal: de Jesus, Carolina Souza Leite
Data de Publicação: 2018
Outros Autores: Delgado, Rafael Coll, Pereira, Marcos Gervásio, Souza, Leonardo Paula de, Silva Junior, Carlos Antonio da, Ribeiro, Larissa Pereira, Batista, Tays Silva, Teodoro, Paulo Eduardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/39485
Resumo: The objective of this study was to perform a temporal and spatial analysis of the changes in the past global solar radiation based on climate models and remote sensing data in the State of Rio de Janeiro, Brazil for the baseline period (1961-1990). Data from two climate models - the Canadian Centre for Climate Modelling and Analysis and Geophysical Fluid Dynamic Laboratory, were used for the A1B intermediate scenario, data from Conventional Weather Stations and orbital sensor Moderate Resolution Imaging Spectroradiometer (MODIS) MODIS Land Cover Type (MCD12Q1). The results of the Spatial Dependence Degree indicate that the best model to represent the global solar radiation is CCCMA-Exponential dry 70.01 and rainy 0.21 respectively. It was possible to verify that in places where the areas are occupied by forests there was reduction of global solar radiation for both dry and rainy periods of approximately 13 MJ m-2d-1. These results indicate that these forest areas can function as islands of freshness, while maintaining the thermal comfort balanced. It was concluded that the dry period had the highest values of solar radiation compared to the rainy (57%), which can be justified by the occurrence of fires in Rio de Janeiro.
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spelling Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil Mudanças ocorridas da radiação solar global passada baseado em modelos climáticos e sensoriamento remoto no estado do Rio de Janeiro, Brazil geotechnologieslandscape changenumerical modelsurban climateBiological SciencesThe objective of this study was to perform a temporal and spatial analysis of the changes in the past global solar radiation based on climate models and remote sensing data in the State of Rio de Janeiro, Brazil for the baseline period (1961-1990). Data from two climate models - the Canadian Centre for Climate Modelling and Analysis and Geophysical Fluid Dynamic Laboratory, were used for the A1B intermediate scenario, data from Conventional Weather Stations and orbital sensor Moderate Resolution Imaging Spectroradiometer (MODIS) MODIS Land Cover Type (MCD12Q1). The results of the Spatial Dependence Degree indicate that the best model to represent the global solar radiation is CCCMA-Exponential dry 70.01 and rainy 0.21 respectively. It was possible to verify that in places where the areas are occupied by forests there was reduction of global solar radiation for both dry and rainy periods of approximately 13 MJ m-2d-1. These results indicate that these forest areas can function as islands of freshness, while maintaining the thermal comfort balanced. It was concluded that the dry period had the highest values of solar radiation compared to the rainy (57%), which can be justified by the occurrence of fires in Rio de Janeiro.O objetivo deste estudo foi realizar uma análise temporal e espacial das mudanças ocorridas da radiação solar global passada baseado em modelo climáticos e sensoriamento remoto no Estado do Rio de Janeiro, Brasil para o período baseline (1961-1990). Utilizaram-se dados de dois modelos climáticos o Canadian Centre for Climate Modelling and Analysis) e Geophysical Fluid Dynamic Laboratory para o cenário intermediário A1B, dados de Estações Meteorológicas Convencionais e do sensor orbital Moderate Resolution Imaging Spectroradiometer (MODIS) MODIS Land Cover Type (MCD12Q1). Os resultados do Grau de Dependência Espacial indicam que o melhor modelo que representa a radiação solar global é o CCCMA-Exponencial seco 70.01 e chuvoso de 0.21 respectivamente. Foi possível verificar que em locais onde as áreas são ocupadas por florestas houve redução da radiação solar global para os dois períodos seco e chuvoso de aproximadamente 13 MJ.m-2.dia-1. Estes resultados indicam que estas áreas de florestas podem funcionar como ilhas de frescor, mantendo o conforto térmico equilibrado. Conclui-se que o período seco apresentoumaiores valores de radiação solar em comparação ao chuvoso (57%), que pode ser justificado pela ocorrência de queimadas no Rio de Janeiro.EDUFU2018-10-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3948510.14393/BJ-v34n5a2018-39485Bioscience Journal ; Vol. 34 No. 5 (2018): Sept./Oct.; 1357-1364Bioscience Journal ; v. 34 n. 5 (2018): Sept./Oct.; 1357-13641981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/39485/24281Brazil; ContemporaryCopyright (c) 2018 Carolina Souza Leite de Jesus, Rafael Coll Delgado, Marcos Gervásio Pereira, Leonardo Paula de Souza, Carlos Antonio da Silva Junior, Larissa Pereira Ribeiro, Tays Silva Batista, Paulo Eduardo Teodorohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessde Jesus, Carolina Souza LeiteDelgado, Rafael CollPereira, Marcos GervásioSouza, Leonardo Paula deSilva Junior, Carlos Antonio daRibeiro, Larissa PereiraBatista, Tays SilvaTeodoro, Paulo Eduardo2022-02-10T16:37:26Zoai:ojs.www.seer.ufu.br:article/39485Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-10T16:37:26Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil
Mudanças ocorridas da radiação solar global passada baseado em modelos climáticos e sensoriamento remoto no estado do Rio de Janeiro, Brazil
title Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil
spellingShingle Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil
de Jesus, Carolina Souza Leite
geotechnologies
landscape change
numerical models
urban climate
Biological Sciences
title_short Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil
title_full Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil
title_fullStr Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil
title_full_unstemmed Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil
title_sort Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil
author de Jesus, Carolina Souza Leite
author_facet de Jesus, Carolina Souza Leite
Delgado, Rafael Coll
Pereira, Marcos Gervásio
Souza, Leonardo Paula de
Silva Junior, Carlos Antonio da
Ribeiro, Larissa Pereira
Batista, Tays Silva
Teodoro, Paulo Eduardo
author_role author
author2 Delgado, Rafael Coll
Pereira, Marcos Gervásio
Souza, Leonardo Paula de
Silva Junior, Carlos Antonio da
Ribeiro, Larissa Pereira
Batista, Tays Silva
Teodoro, Paulo Eduardo
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv de Jesus, Carolina Souza Leite
Delgado, Rafael Coll
Pereira, Marcos Gervásio
Souza, Leonardo Paula de
Silva Junior, Carlos Antonio da
Ribeiro, Larissa Pereira
Batista, Tays Silva
Teodoro, Paulo Eduardo
dc.subject.por.fl_str_mv geotechnologies
landscape change
numerical models
urban climate
Biological Sciences
topic geotechnologies
landscape change
numerical models
urban climate
Biological Sciences
description The objective of this study was to perform a temporal and spatial analysis of the changes in the past global solar radiation based on climate models and remote sensing data in the State of Rio de Janeiro, Brazil for the baseline period (1961-1990). Data from two climate models - the Canadian Centre for Climate Modelling and Analysis and Geophysical Fluid Dynamic Laboratory, were used for the A1B intermediate scenario, data from Conventional Weather Stations and orbital sensor Moderate Resolution Imaging Spectroradiometer (MODIS) MODIS Land Cover Type (MCD12Q1). The results of the Spatial Dependence Degree indicate that the best model to represent the global solar radiation is CCCMA-Exponential dry 70.01 and rainy 0.21 respectively. It was possible to verify that in places where the areas are occupied by forests there was reduction of global solar radiation for both dry and rainy periods of approximately 13 MJ m-2d-1. These results indicate that these forest areas can function as islands of freshness, while maintaining the thermal comfort balanced. It was concluded that the dry period had the highest values of solar radiation compared to the rainy (57%), which can be justified by the occurrence of fires in Rio de Janeiro.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-11
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://seer.ufu.br/index.php/biosciencejournal/article/view/39485
10.14393/BJ-v34n5a2018-39485
url https://seer.ufu.br/index.php/biosciencejournal/article/view/39485
identifier_str_mv 10.14393/BJ-v34n5a2018-39485
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/39485/24281
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 34 No. 5 (2018): Sept./Oct.; 1357-1364
Bioscience Journal ; v. 34 n. 5 (2018): Sept./Oct.; 1357-1364
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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