Penman-Monteith with missing data and Hargreaves-Samani for ETo estimation in Espírito Santo state, Brazil

Detalhes bibliográficos
Autor(a) principal: Venancio,Luan P.
Data de Publicação: 2019
Outros Autores: Cunha,Fernando F. da, Mantovani,Everardo C., Sediyama,Gilberto C., Eugenio,Fernando C., Aleman,Catariny C.
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=S1415-43662019000300153
Resumo: ABSTRACT The Penman-Monteith method (PM-FAO) is recommended as standard for calculation of reference evapotranspiration (ETo). However, its use requires a series of meteorological variables that is not normally available, restricting its application in many locations. A solution to the problem of unavailability of meteorological data was presented in FAO Bulletin 56, which contains methodologies for estimating wind speed, solar radiation and relative humidity. The objective of the present study was to evaluate the performance of the PM-FAO methodologies for missing data and Hargreaves-Samani as alternatives to the PM-FAO standard method at different time scales and seasons for the municipalities of Linhares and São Mateus, located in the northern region of the state of Espírito Santo. The comparison was performed using linear regression parameters (β0 and β1), coefficient of determination, standard error of estimation (SEE) and coefficient of performance. The best alternative to the standard PM-FAO standard method for estimating ETo in the studied area was the Penman-Monteith method with missing wind speed data, since the R2 for this method always remained above 0.94 and the confidence coefficient was classified as great, for all seasons and scales. The Hargreaves-Samani method did not present satisfactory performance, with R2 below 0.7, regardless of the time scale and time of the year, and it yielded the greatest SEE (1.0 mm d-1) at spring on a two-day scale. Thus, its use in the northern region of the Espírito Santo state is not recommended.
id UFCG-1_a43c45f5d6803a6cb32811ee575ec9d1
oai_identifier_str oai:scielo:S1415-43662019000300153
network_acronym_str UFCG-1
network_name_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
repository_id_str
spelling Penman-Monteith with missing data and Hargreaves-Samani for ETo estimation in Espírito Santo state, Brazildata scarcitytime scaleseasonsABSTRACT The Penman-Monteith method (PM-FAO) is recommended as standard for calculation of reference evapotranspiration (ETo). However, its use requires a series of meteorological variables that is not normally available, restricting its application in many locations. A solution to the problem of unavailability of meteorological data was presented in FAO Bulletin 56, which contains methodologies for estimating wind speed, solar radiation and relative humidity. The objective of the present study was to evaluate the performance of the PM-FAO methodologies for missing data and Hargreaves-Samani as alternatives to the PM-FAO standard method at different time scales and seasons for the municipalities of Linhares and São Mateus, located in the northern region of the state of Espírito Santo. The comparison was performed using linear regression parameters (β0 and β1), coefficient of determination, standard error of estimation (SEE) and coefficient of performance. The best alternative to the standard PM-FAO standard method for estimating ETo in the studied area was the Penman-Monteith method with missing wind speed data, since the R2 for this method always remained above 0.94 and the confidence coefficient was classified as great, for all seasons and scales. The Hargreaves-Samani method did not present satisfactory performance, with R2 below 0.7, regardless of the time scale and time of the year, and it yielded the greatest SEE (1.0 mm d-1) at spring on a two-day scale. Thus, its use in the northern region of the Espírito Santo state is not recommended.Departamento de Engenharia Agrícola - UFCG2019-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000300153Revista Brasileira de Engenharia Agrícola e Ambiental v.23 n.3 2019reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v23n3p153-159info:eu-repo/semantics/openAccessVenancio,Luan P.Cunha,Fernando F. daMantovani,Everardo C.Sediyama,Gilberto C.Eugenio,Fernando C.Aleman,Catariny C.eng2019-03-07T00:00:00Zoai:scielo:S1415-43662019000300153Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2019-03-07T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Penman-Monteith with missing data and Hargreaves-Samani for ETo estimation in Espírito Santo state, Brazil
title Penman-Monteith with missing data and Hargreaves-Samani for ETo estimation in Espírito Santo state, Brazil
spellingShingle Penman-Monteith with missing data and Hargreaves-Samani for ETo estimation in Espírito Santo state, Brazil
Venancio,Luan P.
data scarcity
time scale
seasons
title_short Penman-Monteith with missing data and Hargreaves-Samani for ETo estimation in Espírito Santo state, Brazil
title_full Penman-Monteith with missing data and Hargreaves-Samani for ETo estimation in Espírito Santo state, Brazil
title_fullStr Penman-Monteith with missing data and Hargreaves-Samani for ETo estimation in Espírito Santo state, Brazil
title_full_unstemmed Penman-Monteith with missing data and Hargreaves-Samani for ETo estimation in Espírito Santo state, Brazil
title_sort Penman-Monteith with missing data and Hargreaves-Samani for ETo estimation in Espírito Santo state, Brazil
author Venancio,Luan P.
author_facet Venancio,Luan P.
Cunha,Fernando F. da
Mantovani,Everardo C.
Sediyama,Gilberto C.
Eugenio,Fernando C.
Aleman,Catariny C.
author_role author
author2 Cunha,Fernando F. da
Mantovani,Everardo C.
Sediyama,Gilberto C.
Eugenio,Fernando C.
Aleman,Catariny C.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Venancio,Luan P.
Cunha,Fernando F. da
Mantovani,Everardo C.
Sediyama,Gilberto C.
Eugenio,Fernando C.
Aleman,Catariny C.
dc.subject.por.fl_str_mv data scarcity
time scale
seasons
topic data scarcity
time scale
seasons
description ABSTRACT The Penman-Monteith method (PM-FAO) is recommended as standard for calculation of reference evapotranspiration (ETo). However, its use requires a series of meteorological variables that is not normally available, restricting its application in many locations. A solution to the problem of unavailability of meteorological data was presented in FAO Bulletin 56, which contains methodologies for estimating wind speed, solar radiation and relative humidity. The objective of the present study was to evaluate the performance of the PM-FAO methodologies for missing data and Hargreaves-Samani as alternatives to the PM-FAO standard method at different time scales and seasons for the municipalities of Linhares and São Mateus, located in the northern region of the state of Espírito Santo. The comparison was performed using linear regression parameters (β0 and β1), coefficient of determination, standard error of estimation (SEE) and coefficient of performance. The best alternative to the standard PM-FAO standard method for estimating ETo in the studied area was the Penman-Monteith method with missing wind speed data, since the R2 for this method always remained above 0.94 and the confidence coefficient was classified as great, for all seasons and scales. The Hargreaves-Samani method did not present satisfactory performance, with R2 below 0.7, regardless of the time scale and time of the year, and it yielded the greatest SEE (1.0 mm d-1) at spring on a two-day scale. Thus, its use in the northern region of the Espírito Santo state is not recommended.
publishDate 2019
dc.date.none.fl_str_mv 2019-03-01
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=S1415-43662019000300153
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000300153
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v23n3p153-159
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.23 n.3 2019
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_ 1750297686496509952