Mathematical model for estimating daily average air temperature in Goiás, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/1703 |
Resumo: | The objective of this work was to develop a mathematical model to predict the daily average of air temperature in Goiás, Brazil. The model was developed through a linear combination of altitude, latitude, longitude, and the incomplete trigonometric Fourier series using the first three harmonic coefficients. The parameters of the model were adjusted with data from 21 weather stations, using multiple linear regression. The resulting correlation coefficient of the model was 0.91, and the Willmott's index of agreement was close to 1. The model was tested with data from three additional weather stations at different altitudes: high (1,100 m), medium (554 m), and low (431 m). The performance of the model was reasonable for both high and low altitude stations, and very good for the medium altitude station. |
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Mathematical model for estimating daily average air temperature in Goiás, BrazilModelo matemático para estimativa da temperatura média diária do ar no Estado de Goiásclimatic modeling; multiple linear regression; Fourier seriesmodelagem climática; regressão linear múltipla; série de FourierThe objective of this work was to develop a mathematical model to predict the daily average of air temperature in Goiás, Brazil. The model was developed through a linear combination of altitude, latitude, longitude, and the incomplete trigonometric Fourier series using the first three harmonic coefficients. The parameters of the model were adjusted with data from 21 weather stations, using multiple linear regression. The resulting correlation coefficient of the model was 0.91, and the Willmott's index of agreement was close to 1. The model was tested with data from three additional weather stations at different altitudes: high (1,100 m), medium (554 m), and low (431 m). The performance of the model was reasonable for both high and low altitude stations, and very good for the medium altitude station.O objetivo deste trabalho foi desenvolver um modelo matemático de estimativa da temperatura média diária do ar no Estado de Goiás, que considera simultaneamente as variações espacial e temporal. O modelo foi desenvolvido por meio de uma combinação linear da altitude, latitude, longitude e da série trigonométrica de Fourier incompleta usando os três primeiros coeficientes harmônicos. Os parâmetros do modelo foram ajustados aos dados de 21 estações meteorológicas, por meio de regressão linear múltipla. O coeficiente de correlação resultante do ajuste do modelo foi de 0,91, e o índice de concordância de Willmott foi igual a 1. O modelo foi testado com os dados de três estações de altitudes diferentes: elevada (1.100 m), média (554 m) e baixa (431 m). O desempenho foi considerado mediano para altitudes baixas e elevadas, e muito bom para altitudes médias.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraAntonini, Jorge Cesar dos AnjosSilva, Euzebio Medrado daOliveira, Luiz Fernando Coutinho deSano, Edson Eyji2010-11-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/1703Pesquisa Agropecuaria Brasileira; v.44, n.4, abr. 2009; 331-338Pesquisa Agropecuária Brasileira; v.44, n.4, abr. 2009; 331-3381678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/1703/5684https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/1703/1118https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/1703/1119https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/1703/1120info:eu-repo/semantics/openAccess2012-06-17T11:48:30Zoai:ojs.seer.sct.embrapa.br:article/1703Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2012-06-17T11:48:30Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Mathematical model for estimating daily average air temperature in Goiás, Brazil Modelo matemático para estimativa da temperatura média diária do ar no Estado de Goiás |
title |
Mathematical model for estimating daily average air temperature in Goiás, Brazil |
spellingShingle |
Mathematical model for estimating daily average air temperature in Goiás, Brazil Antonini, Jorge Cesar dos Anjos climatic modeling; multiple linear regression; Fourier series modelagem climática; regressão linear múltipla; série de Fourier |
title_short |
Mathematical model for estimating daily average air temperature in Goiás, Brazil |
title_full |
Mathematical model for estimating daily average air temperature in Goiás, Brazil |
title_fullStr |
Mathematical model for estimating daily average air temperature in Goiás, Brazil |
title_full_unstemmed |
Mathematical model for estimating daily average air temperature in Goiás, Brazil |
title_sort |
Mathematical model for estimating daily average air temperature in Goiás, Brazil |
author |
Antonini, Jorge Cesar dos Anjos |
author_facet |
Antonini, Jorge Cesar dos Anjos Silva, Euzebio Medrado da Oliveira, Luiz Fernando Coutinho de Sano, Edson Eyji |
author_role |
author |
author2 |
Silva, Euzebio Medrado da Oliveira, Luiz Fernando Coutinho de Sano, Edson Eyji |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Antonini, Jorge Cesar dos Anjos Silva, Euzebio Medrado da Oliveira, Luiz Fernando Coutinho de Sano, Edson Eyji |
dc.subject.por.fl_str_mv |
climatic modeling; multiple linear regression; Fourier series modelagem climática; regressão linear múltipla; série de Fourier |
topic |
climatic modeling; multiple linear regression; Fourier series modelagem climática; regressão linear múltipla; série de Fourier |
description |
The objective of this work was to develop a mathematical model to predict the daily average of air temperature in Goiás, Brazil. The model was developed through a linear combination of altitude, latitude, longitude, and the incomplete trigonometric Fourier series using the first three harmonic coefficients. The parameters of the model were adjusted with data from 21 weather stations, using multiple linear regression. The resulting correlation coefficient of the model was 0.91, and the Willmott's index of agreement was close to 1. The model was tested with data from three additional weather stations at different altitudes: high (1,100 m), medium (554 m), and low (431 m). The performance of the model was reasonable for both high and low altitude stations, and very good for the medium altitude station. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-11-10 |
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://seer.sct.embrapa.br/index.php/pab/article/view/1703 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/1703 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/1703/5684 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/1703/1118 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/1703/1119 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/1703/1120 |
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.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.44, n.4, abr. 2009; 331-338 Pesquisa Agropecuária Brasileira; v.44, n.4, abr. 2009; 331-338 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416667270742016 |