Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil
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 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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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 |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000200083 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000200083 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1807-1929/agriambi.v22n2p83-89 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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) |
instacron_str |
UFCG |
institution |
UFCG |
reponame_str |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
collection |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG) |
repository.mail.fl_str_mv |
||agriambi@agriambi.com.br |
_version_ |
1750297685952299008 |