Reference evapotranspiration estimates in different cloudiness conditions

Detalhes bibliográficos
Autor(a) principal: de Souza, Adilson Pacheco
Data de Publicação: 2011
Outros Autores: de Carvalho, Daniel Fonseca, Duarte da Silva, Leonardo Batista, de Almeida, Frederico Terra, da Rocha, Hermes Soares
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/9469
Resumo: The objective of this work was to evaluate the performance of reference evapotranspiration (ETo) estimation methods, in different cloudiness conditions, in Seropédica, RJ, Brazil. The ETo estimates were compared with daily measurements made on weighing lysimeter, between 6/1/2006 and 7/31/2007, by pooling the data or discretizing them according to the variance of daily clearness index (KT), in four classes: KT≤0.35, cloudy sky (Clo); 0.35<KT≤0.55, partly cloudy sky (PCDi); 0.55<KT≤0.65, partly opened (PCOp); and KT>0.65, open sky (Op). The mean absolute error (MBE), the square root of the mean square error (RMSE) and indexes of adjustment and performance were used as quality indicators of the different methods. In the pooled data, Penman‑Monteith FAO (PMF) and Hargreaves‑Samani (HS) methods had 84.05 and 79.52% performance indexes, respectively, while Jensen & Haise, Linacre and Makking methods had performances below 60%. Changes in the cloudiness conditions affected the performance of ETo estimation methods. The best results were obtained with the solar radiation (86.1%) and Camargo (81.8%) methods, under the Op and Clo conditions. The PMF and HS methods can be employed in a complementary way, since their performance were 78.4% (Clo and PCDi) and 77.6% (PCOp and Op), respectively.
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spelling Reference evapotranspiration estimates in different cloudiness conditionsEstimativas da evapotranspiração de referência em diferentes condições de nebulosidadeHargreaves-Samani; lysimeter; irrigation management; Penman-Monteith; atmospheric transmissivityHargreaves-Samani; lisímetro; manejo da irrigação; Penman-Monteith; transmissividade atmosféricaThe objective of this work was to evaluate the performance of reference evapotranspiration (ETo) estimation methods, in different cloudiness conditions, in Seropédica, RJ, Brazil. The ETo estimates were compared with daily measurements made on weighing lysimeter, between 6/1/2006 and 7/31/2007, by pooling the data or discretizing them according to the variance of daily clearness index (KT), in four classes: KT≤0.35, cloudy sky (Clo); 0.35<KT≤0.55, partly cloudy sky (PCDi); 0.55<KT≤0.65, partly opened (PCOp); and KT>0.65, open sky (Op). The mean absolute error (MBE), the square root of the mean square error (RMSE) and indexes of adjustment and performance were used as quality indicators of the different methods. In the pooled data, Penman‑Monteith FAO (PMF) and Hargreaves‑Samani (HS) methods had 84.05 and 79.52% performance indexes, respectively, while Jensen & Haise, Linacre and Makking methods had performances below 60%. Changes in the cloudiness conditions affected the performance of ETo estimation methods. The best results were obtained with the solar radiation (86.1%) and Camargo (81.8%) methods, under the Op and Clo conditions. The PMF and HS methods can be employed in a complementary way, since their performance were 78.4% (Clo and PCDi) and 77.6% (PCOp and Op), respectively.O objetivo deste trabalho foi avaliar o desempenho de métodos de estimativa da evapotranspiração de referência (ETo), em diferentes condições de nebulosidade, no Município de Seropédica, RJ. As estimativas de ETo, entre 1/6/2006 e 31/7/2007, foram comparadas com medidas diárias realizadas em lisímetro de pesagem, com agrupamento total dos dados e com a discretização pela variação do índice de claridade diário KT em quatro classes: KT≤0,35, nublado (Nub); 0,35<KT≤0,55, céu parcialmente nublado (PNAd); 0,55<KT≤0,65, céu parcialmente aberto (PNAb); e KT>0,65, céu aberto (Ab). Para avaliação da qualidade das estimativas realizadas pelos diferentes métodos, foram empregados o erro absoluto médio (MBE), a raiz quadrada do quadrado médio do erro (RMSE), e índices de ajustamento e de desempenho. No agrupamento total dos dados, os métodos Penman‑Monteith FAO (PMF) e Hargreaves‑Samani (HS) apresentaram coeficientes de desempenho de 84,05 e 79,52%, respectivamente, enquanto os métodos Jensen & Haise, Linacre e Makking apresentaram desempenho inferior a 60%. A variação das condições de nebulosidade influenciaram o desempenho dos métodos de estimativa de ETo. Os melhores resultados foram obtidos pelos métodos da radiação solar (86,1%) e de Camargo (81,8%), nas condições Ab e Nub. Os métodos PMF e HS podem ser empregados de forma complementar, pois apresentaram desempenhos de 78,4% (Nub e PNAd) e de 77,6% (PNAb e Ab), respectivamente.Termos para indexação: Hargreaves-Samani, lisímetro, manejo da irrigação, Penman-MPesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCNPq e FAPERJde Souza, Adilson Pachecode Carvalho, Daniel FonsecaDuarte da Silva, Leonardo Batistade Almeida, Frederico Terrada Rocha, Hermes Soares2011-05-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/9469Pesquisa Agropecuaria Brasileira; v.46, n.3, mar. 2011; 219-228Pesquisa Agropecuária Brasileira; v.46, n.3, mar. 2011; 219-2281678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/9469/6256https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9469/4689https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9469/4690https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9469/4691https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9469/4692https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9469/4693info:eu-repo/semantics/openAccess2014-05-19T18:25:13Zoai:ojs.seer.sct.embrapa.br:article/9469Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-05-19T18:25:13Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Reference evapotranspiration estimates in different cloudiness conditions
Estimativas da evapotranspiração de referência em diferentes condições de nebulosidade
title Reference evapotranspiration estimates in different cloudiness conditions
spellingShingle Reference evapotranspiration estimates in different cloudiness conditions
de Souza, Adilson Pacheco
Hargreaves-Samani; lysimeter; irrigation management; Penman-Monteith; atmospheric transmissivity
Hargreaves-Samani; lisímetro; manejo da irrigação; Penman-Monteith; transmissividade atmosférica
title_short Reference evapotranspiration estimates in different cloudiness conditions
title_full Reference evapotranspiration estimates in different cloudiness conditions
title_fullStr Reference evapotranspiration estimates in different cloudiness conditions
title_full_unstemmed Reference evapotranspiration estimates in different cloudiness conditions
title_sort Reference evapotranspiration estimates in different cloudiness conditions
author de Souza, Adilson Pacheco
author_facet de Souza, Adilson Pacheco
de Carvalho, Daniel Fonseca
Duarte da Silva, Leonardo Batista
de Almeida, Frederico Terra
da Rocha, Hermes Soares
author_role author
author2 de Carvalho, Daniel Fonseca
Duarte da Silva, Leonardo Batista
de Almeida, Frederico Terra
da Rocha, Hermes Soares
author2_role author
author
author
author
dc.contributor.none.fl_str_mv
CNPq e FAPERJ
dc.contributor.author.fl_str_mv de Souza, Adilson Pacheco
de Carvalho, Daniel Fonseca
Duarte da Silva, Leonardo Batista
de Almeida, Frederico Terra
da Rocha, Hermes Soares
dc.subject.por.fl_str_mv Hargreaves-Samani; lysimeter; irrigation management; Penman-Monteith; atmospheric transmissivity
Hargreaves-Samani; lisímetro; manejo da irrigação; Penman-Monteith; transmissividade atmosférica
topic Hargreaves-Samani; lysimeter; irrigation management; Penman-Monteith; atmospheric transmissivity
Hargreaves-Samani; lisímetro; manejo da irrigação; Penman-Monteith; transmissividade atmosférica
description The objective of this work was to evaluate the performance of reference evapotranspiration (ETo) estimation methods, in different cloudiness conditions, in Seropédica, RJ, Brazil. The ETo estimates were compared with daily measurements made on weighing lysimeter, between 6/1/2006 and 7/31/2007, by pooling the data or discretizing them according to the variance of daily clearness index (KT), in four classes: KT≤0.35, cloudy sky (Clo); 0.35<KT≤0.55, partly cloudy sky (PCDi); 0.55<KT≤0.65, partly opened (PCOp); and KT>0.65, open sky (Op). The mean absolute error (MBE), the square root of the mean square error (RMSE) and indexes of adjustment and performance were used as quality indicators of the different methods. In the pooled data, Penman‑Monteith FAO (PMF) and Hargreaves‑Samani (HS) methods had 84.05 and 79.52% performance indexes, respectively, while Jensen & Haise, Linacre and Makking methods had performances below 60%. Changes in the cloudiness conditions affected the performance of ETo estimation methods. The best results were obtained with the solar radiation (86.1%) and Camargo (81.8%) methods, under the Op and Clo conditions. The PMF and HS methods can be employed in a complementary way, since their performance were 78.4% (Clo and PCDi) and 77.6% (PCOp and Op), respectively.
publishDate 2011
dc.date.none.fl_str_mv 2011-05-26
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/9469
url https://seer.sct.embrapa.br/index.php/pab/article/view/9469
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/9469/6256
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9469/4689
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9469/4690
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9469/4691
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9469/4692
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9469/4693
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.46, n.3, mar. 2011; 219-228
Pesquisa Agropecuária Brasileira; v.46, n.3, mar. 2011; 219-228
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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