Reference evapotranspiration estimates by means of Hargreaves-samani and Penman-monteith fao methods with missing data in the northwestern Mato Grosso do Sul

Detalhes bibliográficos
Autor(a) principal: Cunha, Fernando França da
Data de Publicação: 2017
Outros Autores: Venancio, Luan Peroni, Campos, Flávio Bastos, Sediyama, Gilberto Chohaku
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/36751
Resumo: We aimed to assess the performance of different methodologies to estimate the reference evapotranspiration (ET0) in different seasons for at 1, 3, 6 and 10 days for the Northwestern Mato Grosso do Sul. We used a set of daily data obtained from the networks of the Brazilian National Institute of Meteorology for Água Clara, Cassilândia, Chapadão do Sul, Paranaíba and Três Lagoas locations. The meteorological data used were: maximum and minimum air temperatures, wind speed, solar radiation, and relative humidity. The methodologies used for the ET0 estimation were Hargreaves-Samani and Penman-Monteith (PM-FAO) using all the meteorological data needed and missing data on relative humidity, solar radiation and wind speed. To compare ET0 values estimated by means of equations tested against the PM-FAO method we analyzed the parameters of linear regression equation "β0" and "β1", coefficient of determination (r²), standard-error of estimate (SEE) and coefficient of performance (c). The PM-FAO method with missing data (relative humidity and wind speed) were the best alternatives to estimate ET0, followed by the PM-FAO method with missing solar radiation data in all timescales during fall and winter seasons. The Hargreaves-Samani method is not recommended to be used in its original form to estimate ET0 in the Northwestern Mato Grosso do Sul, in none of the timescales and seasons.
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spelling Reference evapotranspiration estimates by means of Hargreaves-samani and Penman-monteith fao methods with missing data in the northwestern Mato Grosso do Sul Estimativa da evapotranspiração de referência pelos métodos Hargreaves-samani e Penman-monteith Fao com dados faltosos no noroeste Sul-Mato-Grossense AgrometorologyTimescaleET0SeasonsWe aimed to assess the performance of different methodologies to estimate the reference evapotranspiration (ET0) in different seasons for at 1, 3, 6 and 10 days for the Northwestern Mato Grosso do Sul. We used a set of daily data obtained from the networks of the Brazilian National Institute of Meteorology for Água Clara, Cassilândia, Chapadão do Sul, Paranaíba and Três Lagoas locations. The meteorological data used were: maximum and minimum air temperatures, wind speed, solar radiation, and relative humidity. The methodologies used for the ET0 estimation were Hargreaves-Samani and Penman-Monteith (PM-FAO) using all the meteorological data needed and missing data on relative humidity, solar radiation and wind speed. To compare ET0 values estimated by means of equations tested against the PM-FAO method we analyzed the parameters of linear regression equation "β0" and "β1", coefficient of determination (r²), standard-error of estimate (SEE) and coefficient of performance (c). The PM-FAO method with missing data (relative humidity and wind speed) were the best alternatives to estimate ET0, followed by the PM-FAO method with missing solar radiation data in all timescales during fall and winter seasons. The Hargreaves-Samani method is not recommended to be used in its original form to estimate ET0 in the Northwestern Mato Grosso do Sul, in none of the timescales and seasons.Objetivou-se avaliar o desempenho de diferentes metodologias na estimativa da evapotranspiração de referência (ET0) nas distintas estações anuais e considerando as escalas de 1, 3, 6 e 10 dias para a região noroeste sulmato-grossense. Foi utilizado um conjunto de dados diários adquiridos de estações automáticas da rede do Instituto Nacional de Meteorologia das localidades de Água Clara, Cassilândia, Chapadão do Sul, Paranaíba e Três Lagoas. Os dados meteorológicos utilizados foram: temperaturas máximas e mínimas do ar, velocidade do vento, radiação solar e umidade relativa do ar. As metodologias utilizadas para a estimativa da ET0 foram: Hargreaves-Samani e PenmanMonteith FAO (PM-FAO) utilizando todos os dados meteorológicos necessários e com dados faltantes de umidade relativa do ar, radiação solar e velocidade do vento. Para comparar os valores de ET0 estimados por meio das equações testadas com os do método PM-FAO foram considerados os parâmetros da equação de regressão “β0” e “β1”, coeficiente de determinação (r²), erro padrão de estimativa (EPE) e coeficiente de desempenho (c). Os métodos de PM-FAO com dados faltosos de umidade relativa e velocidade do vento são as melhores alternativas para a estimativa de ET0, seguido dosmétodos de PM-FAO com dados faltosos de radiação solar em todas as escalas de tempo e para as estações outono e inverno. O método de Hargreaves-Samani não é recomendado para ser utilizado em sua forma original nas estimativas de ET0 na região noroeste sul-mato-grossense, em nenhuma das escalas de tempo e estações anuais.EDUFU2017-09-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3675110.14393/BJ-v33n5a2017-36751Bioscience Journal ; Vol. 33 No. 5 (2017): Sept./Oct.; 1166-1176Bioscience Journal ; v. 33 n. 5 (2017): Sept./Oct.; 1166-11761981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/36751/20821Brazil; ContemporaryCopyright (c) 2017 Fernando França da Cunha, Luan Peroni Venancio, Flávio Bastos Campos, Gilberto Chohaku Sediyamahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCunha, Fernando França daVenancio, Luan PeroniCampos, Flávio BastosSediyama, Gilberto Chohaku2022-02-12T19:43:41Zoai:ojs.www.seer.ufu.br:article/36751Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-12T19:43:41Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Reference evapotranspiration estimates by means of Hargreaves-samani and Penman-monteith fao methods with missing data in the northwestern Mato Grosso do Sul
Estimativa da evapotranspiração de referência pelos métodos Hargreaves-samani e Penman-monteith Fao com dados faltosos no noroeste Sul-Mato-Grossense
title Reference evapotranspiration estimates by means of Hargreaves-samani and Penman-monteith fao methods with missing data in the northwestern Mato Grosso do Sul
spellingShingle Reference evapotranspiration estimates by means of Hargreaves-samani and Penman-monteith fao methods with missing data in the northwestern Mato Grosso do Sul
Cunha, Fernando França da
Agrometorology
Timescale
ET0
Seasons
title_short Reference evapotranspiration estimates by means of Hargreaves-samani and Penman-monteith fao methods with missing data in the northwestern Mato Grosso do Sul
title_full Reference evapotranspiration estimates by means of Hargreaves-samani and Penman-monteith fao methods with missing data in the northwestern Mato Grosso do Sul
title_fullStr Reference evapotranspiration estimates by means of Hargreaves-samani and Penman-monteith fao methods with missing data in the northwestern Mato Grosso do Sul
title_full_unstemmed Reference evapotranspiration estimates by means of Hargreaves-samani and Penman-monteith fao methods with missing data in the northwestern Mato Grosso do Sul
title_sort Reference evapotranspiration estimates by means of Hargreaves-samani and Penman-monteith fao methods with missing data in the northwestern Mato Grosso do Sul
author Cunha, Fernando França da
author_facet Cunha, Fernando França da
Venancio, Luan Peroni
Campos, Flávio Bastos
Sediyama, Gilberto Chohaku
author_role author
author2 Venancio, Luan Peroni
Campos, Flávio Bastos
Sediyama, Gilberto Chohaku
author2_role author
author
author
dc.contributor.author.fl_str_mv Cunha, Fernando França da
Venancio, Luan Peroni
Campos, Flávio Bastos
Sediyama, Gilberto Chohaku
dc.subject.por.fl_str_mv Agrometorology
Timescale
ET0
Seasons
topic Agrometorology
Timescale
ET0
Seasons
description We aimed to assess the performance of different methodologies to estimate the reference evapotranspiration (ET0) in different seasons for at 1, 3, 6 and 10 days for the Northwestern Mato Grosso do Sul. We used a set of daily data obtained from the networks of the Brazilian National Institute of Meteorology for Água Clara, Cassilândia, Chapadão do Sul, Paranaíba and Três Lagoas locations. The meteorological data used were: maximum and minimum air temperatures, wind speed, solar radiation, and relative humidity. The methodologies used for the ET0 estimation were Hargreaves-Samani and Penman-Monteith (PM-FAO) using all the meteorological data needed and missing data on relative humidity, solar radiation and wind speed. To compare ET0 values estimated by means of equations tested against the PM-FAO method we analyzed the parameters of linear regression equation "β0" and "β1", coefficient of determination (r²), standard-error of estimate (SEE) and coefficient of performance (c). The PM-FAO method with missing data (relative humidity and wind speed) were the best alternatives to estimate ET0, followed by the PM-FAO method with missing solar radiation data in all timescales during fall and winter seasons. The Hargreaves-Samani method is not recommended to be used in its original form to estimate ET0 in the Northwestern Mato Grosso do Sul, in none of the timescales and seasons.
publishDate 2017
dc.date.none.fl_str_mv 2017-09-21
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.ufu.br/index.php/biosciencejournal/article/view/36751
10.14393/BJ-v33n5a2017-36751
url https://seer.ufu.br/index.php/biosciencejournal/article/view/36751
identifier_str_mv 10.14393/BJ-v33n5a2017-36751
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/36751/20821
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 33 No. 5 (2017): Sept./Oct.; 1166-1176
Bioscience Journal ; v. 33 n. 5 (2017): Sept./Oct.; 1166-1176
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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