Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil

Detalhes bibliográficos
Autor(a) principal: Silva,Gustavo H. da
Data de Publicação: 2018
Outros Autores: Dias,Santos H. B., Ferreira,Lucas B., Santos,Jannaylton É. O., Cunha,Fernando F. da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000200083
Resumo: ABSTRACT FAO Penman-Monteith (FO-PM) is considered the standard method for the estimation of reference evapotranspiration (ET0) but requires various meteorological data, which are often not available. The objective of this work was to evaluate the performance of the FAO-PM method with limited meteorological data and other methods as alternatives to estimate ET0 in Jaíba-MG. The study used daily meteorological data from 2007 to 2016 of the National Institute of Meteorology’s station. Daily ET0 values were randomized, and 70% of these were used to determine the calibration parameters of the ET0 for the equations of each method under study. The remaining data were used to test the calibration against the standard method. Performance evaluation was based on Willmott’s index of agreement, confidence coefficient and root-mean-square error. When one meteorological variable was missing, either solar radiation, relative air humidity or wind speed, or in the simultaneous absence of wind speed and relative air humidity, the FAO-PM method showed the best performances and, therefore, was recommended for Jaíba. The FAO-PM method with two missing variables, one of them being solar radiation, showed intermediate performance. Methods that used only air temperature data are not recommended for the region.
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spelling Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazilmissing datamodelingirrigation managementFAO-Penman-MonteithABSTRACT FAO Penman-Monteith (FO-PM) is considered the standard method for the estimation of reference evapotranspiration (ET0) but requires various meteorological data, which are often not available. The objective of this work was to evaluate the performance of the FAO-PM method with limited meteorological data and other methods as alternatives to estimate ET0 in Jaíba-MG. The study used daily meteorological data from 2007 to 2016 of the National Institute of Meteorology’s station. Daily ET0 values were randomized, and 70% of these were used to determine the calibration parameters of the ET0 for the equations of each method under study. The remaining data were used to test the calibration against the standard method. Performance evaluation was based on Willmott’s index of agreement, confidence coefficient and root-mean-square error. When one meteorological variable was missing, either solar radiation, relative air humidity or wind speed, or in the simultaneous absence of wind speed and relative air humidity, the FAO-PM method showed the best performances and, therefore, was recommended for Jaíba. The FAO-PM method with two missing variables, one of them being solar radiation, showed intermediate performance. Methods that used only air temperature data are not recommended for the region.Departamento de Engenharia Agrícola - UFCG2018-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000200083Revista Brasileira de Engenharia Agrícola e Ambiental v.22 n.2 2018reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v22n2p83-89info:eu-repo/semantics/openAccessSilva,Gustavo H. daDias,Santos H. B.Ferreira,Lucas B.Santos,Jannaylton É. O.Cunha,Fernando F. daeng2018-01-24T00:00:00Zoai:scielo:S1415-43662018000200083Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2018-01-24T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil
title Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil
spellingShingle Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil
Silva,Gustavo H. da
missing data
modeling
irrigation management
FAO-Penman-Monteith
title_short Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil
title_full Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil
title_fullStr Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil
title_full_unstemmed Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil
title_sort Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil
author Silva,Gustavo H. da
author_facet Silva,Gustavo H. da
Dias,Santos H. B.
Ferreira,Lucas B.
Santos,Jannaylton É. O.
Cunha,Fernando F. da
author_role author
author2 Dias,Santos H. B.
Ferreira,Lucas B.
Santos,Jannaylton É. O.
Cunha,Fernando F. da
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silva,Gustavo H. da
Dias,Santos H. B.
Ferreira,Lucas B.
Santos,Jannaylton É. O.
Cunha,Fernando F. da
dc.subject.por.fl_str_mv missing data
modeling
irrigation management
FAO-Penman-Monteith
topic missing data
modeling
irrigation management
FAO-Penman-Monteith
description ABSTRACT FAO Penman-Monteith (FO-PM) is considered the standard method for the estimation of reference evapotranspiration (ET0) but requires various meteorological data, which are often not available. The objective of this work was to evaluate the performance of the FAO-PM method with limited meteorological data and other methods as alternatives to estimate ET0 in Jaíba-MG. The study used daily meteorological data from 2007 to 2016 of the National Institute of Meteorology’s station. Daily ET0 values were randomized, and 70% of these were used to determine the calibration parameters of the ET0 for the equations of each method under study. The remaining data were used to test the calibration against the standard method. Performance evaluation was based on Willmott’s index of agreement, confidence coefficient and root-mean-square error. When one meteorological variable was missing, either solar radiation, relative air humidity or wind speed, or in the simultaneous absence of wind speed and relative air humidity, the FAO-PM method showed the best performances and, therefore, was recommended for Jaíba. The FAO-PM method with two missing variables, one of them being solar radiation, showed intermediate performance. Methods that used only air temperature data are not recommended for the region.
publishDate 2018
dc.date.none.fl_str_mv 2018-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000200083
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v22n2p83-89
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.22 n.2 2018
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
instname:Universidade Federal de Campina Grande (UFCG)
instacron:UFCG
instname_str Universidade Federal de Campina Grande (UFCG)
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repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
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