SURFACE SOLAR RADIATION IN A TROPICAL AREA ESTIMATED FROM DIFFERENT MODELS
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Climatologia (Online) |
Texto Completo: | https://revistas.ufpr.br/revistaabclima/article/view/51149 |
Resumo: | The Global Solar Radiation (Rg) is considered the main power that regulates the biophysical processes in the surface-atmosphere interface. Many regions of the Earth do not have those kinds of measures available, consequently approach models that allow confident estimates are necessary. Thus, the objective of this article was to evaluate the performance of the models proposed by Angström-Prescost (1940), Hay (1979) and Bristow & Campbell (1984) to estimate the solar global radiation in the city of Sinop, Mato Grosso state. Therefore, data from the National Institute of Meteorology (INMET), from 2006 to 2012, have been used to validate and parameterize the models. Solar Global Radiation (Rg), air temperature (maxima and minima), clarity atmospheric index (kt) and the relative sunshine duration (Ir) have shown seasonality under influence of the cloudiness. All the three models have estimated Rg satisfactorily with Pearson’s correlation coefficient classified as strong. Nevertheless, Hay’s model has presented the lowest errors and coefficients lightly better than the others models. However, all the models have presented similar results, which make them applicable to the region. Our results still suggest that further research, such as use of the models to the entire region of Mato Grosso state, is necessary to improve the estimate models of Rg in that area. |
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SURFACE SOLAR RADIATION IN A TROPICAL AREA ESTIMATED FROM DIFFERENT MODELSsolar radiation modelling; sunshine duration; inter-comparison modellingThe Global Solar Radiation (Rg) is considered the main power that regulates the biophysical processes in the surface-atmosphere interface. Many regions of the Earth do not have those kinds of measures available, consequently approach models that allow confident estimates are necessary. Thus, the objective of this article was to evaluate the performance of the models proposed by Angström-Prescost (1940), Hay (1979) and Bristow & Campbell (1984) to estimate the solar global radiation in the city of Sinop, Mato Grosso state. Therefore, data from the National Institute of Meteorology (INMET), from 2006 to 2012, have been used to validate and parameterize the models. Solar Global Radiation (Rg), air temperature (maxima and minima), clarity atmospheric index (kt) and the relative sunshine duration (Ir) have shown seasonality under influence of the cloudiness. All the three models have estimated Rg satisfactorily with Pearson’s correlation coefficient classified as strong. Nevertheless, Hay’s model has presented the lowest errors and coefficients lightly better than the others models. However, all the models have presented similar results, which make them applicable to the region. Our results still suggest that further research, such as use of the models to the entire region of Mato Grosso state, is necessary to improve the estimate models of Rg in that area.Universidade Federal do ParanáPavão, Vagner MarquesBiudes, Marcelo SacardiQuerino, Carlos Alexandre SantosMachado, Nadja GomesPavão, Larissa Leitee Silva, Pablinne Cynthia Batista da Silva2018-12-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/revistaabclima/article/view/5114910.5380/abclima.v23i0.51149Revista Brasileira de Climatologia; v. 23 (2018)2237-86421980-055X10.5380/abclima.v23i0reponame:Revista Brasileira de Climatologia (Online)instname:ABClimainstacron:ABCLIMAenghttps://revistas.ufpr.br/revistaabclima/article/view/51149/37250Direitos autorais 2018 Vagner Marques Pavão, Marcelo Sacardi Biudes, Carlos Alexandre Santos Querino, Nadja Gomes Machado, Larissa Leite Pavão, Pablinne Cynthia Batista da Silva e Silvainfo:eu-repo/semantics/openAccess2018-12-19T14:49:02Zoai:revistas.ufpr.br:article/51149Revistahttps://revistas.ufpr.br/revistaabclima/indexPUBhttps://revistas.ufpr.br/revistaabclima/oaiegalvani@usp.br || rbclima2014@gmail.com2237-86421980-055Xopendoar:2018-12-19T14:49:02Revista Brasileira de Climatologia (Online) - ABClimafalse |
dc.title.none.fl_str_mv |
SURFACE SOLAR RADIATION IN A TROPICAL AREA ESTIMATED FROM DIFFERENT MODELS |
title |
SURFACE SOLAR RADIATION IN A TROPICAL AREA ESTIMATED FROM DIFFERENT MODELS |
spellingShingle |
SURFACE SOLAR RADIATION IN A TROPICAL AREA ESTIMATED FROM DIFFERENT MODELS Pavão, Vagner Marques solar radiation modelling; sunshine duration; inter-comparison modelling |
title_short |
SURFACE SOLAR RADIATION IN A TROPICAL AREA ESTIMATED FROM DIFFERENT MODELS |
title_full |
SURFACE SOLAR RADIATION IN A TROPICAL AREA ESTIMATED FROM DIFFERENT MODELS |
title_fullStr |
SURFACE SOLAR RADIATION IN A TROPICAL AREA ESTIMATED FROM DIFFERENT MODELS |
title_full_unstemmed |
SURFACE SOLAR RADIATION IN A TROPICAL AREA ESTIMATED FROM DIFFERENT MODELS |
title_sort |
SURFACE SOLAR RADIATION IN A TROPICAL AREA ESTIMATED FROM DIFFERENT MODELS |
author |
Pavão, Vagner Marques |
author_facet |
Pavão, Vagner Marques Biudes, Marcelo Sacardi Querino, Carlos Alexandre Santos Machado, Nadja Gomes Pavão, Larissa Leite e Silva, Pablinne Cynthia Batista da Silva |
author_role |
author |
author2 |
Biudes, Marcelo Sacardi Querino, Carlos Alexandre Santos Machado, Nadja Gomes Pavão, Larissa Leite e Silva, Pablinne Cynthia Batista da Silva |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Pavão, Vagner Marques Biudes, Marcelo Sacardi Querino, Carlos Alexandre Santos Machado, Nadja Gomes Pavão, Larissa Leite e Silva, Pablinne Cynthia Batista da Silva |
dc.subject.por.fl_str_mv |
solar radiation modelling; sunshine duration; inter-comparison modelling |
topic |
solar radiation modelling; sunshine duration; inter-comparison modelling |
description |
The Global Solar Radiation (Rg) is considered the main power that regulates the biophysical processes in the surface-atmosphere interface. Many regions of the Earth do not have those kinds of measures available, consequently approach models that allow confident estimates are necessary. Thus, the objective of this article was to evaluate the performance of the models proposed by Angström-Prescost (1940), Hay (1979) and Bristow & Campbell (1984) to estimate the solar global radiation in the city of Sinop, Mato Grosso state. Therefore, data from the National Institute of Meteorology (INMET), from 2006 to 2012, have been used to validate and parameterize the models. Solar Global Radiation (Rg), air temperature (maxima and minima), clarity atmospheric index (kt) and the relative sunshine duration (Ir) have shown seasonality under influence of the cloudiness. All the three models have estimated Rg satisfactorily with Pearson’s correlation coefficient classified as strong. Nevertheless, Hay’s model has presented the lowest errors and coefficients lightly better than the others models. However, all the models have presented similar results, which make them applicable to the region. Our results still suggest that further research, such as use of the models to the entire region of Mato Grosso state, is necessary to improve the estimate models of Rg in that area. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-19 |
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.ufpr.br/revistaabclima/article/view/51149 10.5380/abclima.v23i0.51149 |
url |
https://revistas.ufpr.br/revistaabclima/article/view/51149 |
identifier_str_mv |
10.5380/abclima.v23i0.51149 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.ufpr.br/revistaabclima/article/view/51149/37250 |
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.coverage.none.fl_str_mv |
|
dc.publisher.none.fl_str_mv |
Universidade Federal do Paraná |
publisher.none.fl_str_mv |
Universidade Federal do Paraná |
dc.source.none.fl_str_mv |
Revista Brasileira de Climatologia; v. 23 (2018) 2237-8642 1980-055X 10.5380/abclima.v23i0 reponame:Revista Brasileira de Climatologia (Online) instname:ABClima instacron:ABCLIMA |
instname_str |
ABClima |
instacron_str |
ABCLIMA |
institution |
ABCLIMA |
reponame_str |
Revista Brasileira de Climatologia (Online) |
collection |
Revista Brasileira de Climatologia (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Climatologia (Online) - ABClima |
repository.mail.fl_str_mv |
egalvani@usp.br || rbclima2014@gmail.com |
_version_ |
1754839541986885632 |