Accuracy of Potential Evapotranspiration Models in Different Time Scales

Detalhes bibliográficos
Autor(a) principal: Aparecido, Lucas Eduardo De Oliveira
Data de Publicação: 2020
Outros Autores: Meneses, Kamila Cunha De [UNESP], Torsoni, Guilherme Botega, Moraes, José Reinaldo Da Silva Cabral De, Mesquita, Daniel Zimmermann
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/0102-7786351026
http://hdl.handle.net/11449/211398
Resumo: Know the precision of potential evapotranspiration models in different agronomic and climatic conditions is useful for irrigated agriculture. Therefore, we aimed to compare 18 methods of estimation of ETP with the Penman-Monteith (FAO-56) method, at different time scales for the State of Mato Grosso do Sul. Time series of climatic data were used on a daily scale between 1983 and 2018 from 22 locations in the state of Mato Grosso do Sul. ETP estimation models tested were: Benevidez-Lopez, Blaney-Criddle, Camargo, Hamon, Hargreaves, Hargreaves-Samani, Jensen-Haise, Jobson, Kharrufa, Linacre, Makkink, Penman, Priestley-Taylor, Radiation, Romanenko, Tanner-Pelton, Thornthwaite, and Turc. These models were compared with Penman-Monteith in daily, weekly, and monthly scales. The comparison between the ETP estimation models and the Penman-Monteith model was performed by the statistical indices: accuracy (MAPE) and precision (R2aj). Estimation methods showed differences in efficiency over time scales. The best performances of the models were on the daily scale. For daily scale, methods of Priestley-Taylor, Hargreaves, Hamon, and Makkink present the best values of accuracy and precision for the State of Mato Grosso do Sul. In the weekly scale, the most accurate methods are Hamon and Makkink, while for monthly scale the best methods are Makkink and Priestley-Taylor.
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spelling Accuracy of Potential Evapotranspiration Models in Different Time ScalesAcurácia de Modelos de Evapotranspiração Potencial em Diferentes Escalas de Tempoestimation methodsaccuracyprecisionPenman-Monteithwater evaporationmétodos de estimativaacuráciaprecisãoPenman-Monteithevaporação da águaKnow the precision of potential evapotranspiration models in different agronomic and climatic conditions is useful for irrigated agriculture. Therefore, we aimed to compare 18 methods of estimation of ETP with the Penman-Monteith (FAO-56) method, at different time scales for the State of Mato Grosso do Sul. Time series of climatic data were used on a daily scale between 1983 and 2018 from 22 locations in the state of Mato Grosso do Sul. ETP estimation models tested were: Benevidez-Lopez, Blaney-Criddle, Camargo, Hamon, Hargreaves, Hargreaves-Samani, Jensen-Haise, Jobson, Kharrufa, Linacre, Makkink, Penman, Priestley-Taylor, Radiation, Romanenko, Tanner-Pelton, Thornthwaite, and Turc. These models were compared with Penman-Monteith in daily, weekly, and monthly scales. The comparison between the ETP estimation models and the Penman-Monteith model was performed by the statistical indices: accuracy (MAPE) and precision (R2aj). Estimation methods showed differences in efficiency over time scales. The best performances of the models were on the daily scale. For daily scale, methods of Priestley-Taylor, Hargreaves, Hamon, and Makkink present the best values of accuracy and precision for the State of Mato Grosso do Sul. In the weekly scale, the most accurate methods are Hamon and Makkink, while for monthly scale the best methods are Makkink and Priestley-Taylor.Conhecer a precisão dos modelos de evapotranspiração potencial em diferentes condições agronômicas e climáticas é útil para a agricultura irrigada. Portanto, objetivou-se comparar 18 métodos de estimativa de ETP com o método de Penman-Monteith (FAO-56), em diferentes escalas de tempo para o Estado de Mato Grosso do Sul. Foram utilizadas séries históricas dos dados climáticos em escala diária entre 1983 a 2018 de 22 localidades no estado do Mato Grosso do Sul. Os modelos de estimativa de ETP testados foram: Benevidez-Lopez, Blaney-Criddle, Camargo, Hamon, Hargreaves, Hargreaves-Samani, Jensen-Haise, Jobson, Kharrufa, Linacre, Makkink, Penman, Priestley-Taylor, Radiation, Romanenko, Tanner-Pelton, Thornthwaite e Turc. Esses modelos foram comparados com Penman-Monteith em escalas diárias, semanais e mensais. A comparação entre os modelos de estimativa de ETP e o modelo de Pernman-Monteith foi realizada pelos índices estatísticos: acurácia (MAPE) e precisão (R2aj). Os métodos de estimativa demonstraram diferenças na eficiência em relação às escalas de tempo. Os melhores desempenhos dos modelos foram na escala diária. Para escala diária, os métodos de Priestley-Taylor, Hargreaves, Hamon e Makkink apresentam os melhores valores de acurácia e precisão para o Estado de Mato Grosso do Sul. Para escala semanal os melhores métodos são Hamon e Makkink, enquanto para escala mensal os melhores métodos para estimar a ETP são Makkink e Priestley-Taylor.Instituto Federal do Mato Grosso do SulUniversidade Estadual Paulista, Faculdade de Ciências Agrárias e VeterináriasUniversidade Estadual Paulista, Faculdade de Ciências Agrárias e VeterináriasSociedade Brasileira de MeteorologiaInstituto Federal do Mato Grosso do SulUniversidade Estadual Paulista (Unesp)Aparecido, Lucas Eduardo De OliveiraMeneses, Kamila Cunha De [UNESP]Torsoni, Guilherme BotegaMoraes, José Reinaldo Da Silva Cabral DeMesquita, Daniel Zimmermann2021-07-14T10:23:47Z2021-07-14T10:23:47Z2020-04-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article63-80application/pdfhttp://dx.doi.org/10.1590/0102-7786351026Revista Brasileira de Meteorologia. Sociedade Brasileira de Meteorologia, v. 35, n. 1, p. 63-80, 2020.0102-77861982-4351http://hdl.handle.net/11449/21139810.1590/0102-7786351026S0102-77862020000100063S0102-77862020000100063.pdfSciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira de Meteorologiainfo:eu-repo/semantics/openAccess2023-11-23T06:10:12Zoai:repositorio.unesp.br:11449/211398Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:28:20.194134Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Accuracy of Potential Evapotranspiration Models in Different Time Scales
Acurácia de Modelos de Evapotranspiração Potencial em Diferentes Escalas de Tempo
title Accuracy of Potential Evapotranspiration Models in Different Time Scales
spellingShingle Accuracy of Potential Evapotranspiration Models in Different Time Scales
Aparecido, Lucas Eduardo De Oliveira
estimation methods
accuracy
precision
Penman-Monteith
water evaporation
métodos de estimativa
acurácia
precisão
Penman-Monteith
evaporação da água
title_short Accuracy of Potential Evapotranspiration Models in Different Time Scales
title_full Accuracy of Potential Evapotranspiration Models in Different Time Scales
title_fullStr Accuracy of Potential Evapotranspiration Models in Different Time Scales
title_full_unstemmed Accuracy of Potential Evapotranspiration Models in Different Time Scales
title_sort Accuracy of Potential Evapotranspiration Models in Different Time Scales
author Aparecido, Lucas Eduardo De Oliveira
author_facet Aparecido, Lucas Eduardo De Oliveira
Meneses, Kamila Cunha De [UNESP]
Torsoni, Guilherme Botega
Moraes, José Reinaldo Da Silva Cabral De
Mesquita, Daniel Zimmermann
author_role author
author2 Meneses, Kamila Cunha De [UNESP]
Torsoni, Guilherme Botega
Moraes, José Reinaldo Da Silva Cabral De
Mesquita, Daniel Zimmermann
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Instituto Federal do Mato Grosso do Sul
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Aparecido, Lucas Eduardo De Oliveira
Meneses, Kamila Cunha De [UNESP]
Torsoni, Guilherme Botega
Moraes, José Reinaldo Da Silva Cabral De
Mesquita, Daniel Zimmermann
dc.subject.por.fl_str_mv estimation methods
accuracy
precision
Penman-Monteith
water evaporation
métodos de estimativa
acurácia
precisão
Penman-Monteith
evaporação da água
topic estimation methods
accuracy
precision
Penman-Monteith
water evaporation
métodos de estimativa
acurácia
precisão
Penman-Monteith
evaporação da água
description Know the precision of potential evapotranspiration models in different agronomic and climatic conditions is useful for irrigated agriculture. Therefore, we aimed to compare 18 methods of estimation of ETP with the Penman-Monteith (FAO-56) method, at different time scales for the State of Mato Grosso do Sul. Time series of climatic data were used on a daily scale between 1983 and 2018 from 22 locations in the state of Mato Grosso do Sul. ETP estimation models tested were: Benevidez-Lopez, Blaney-Criddle, Camargo, Hamon, Hargreaves, Hargreaves-Samani, Jensen-Haise, Jobson, Kharrufa, Linacre, Makkink, Penman, Priestley-Taylor, Radiation, Romanenko, Tanner-Pelton, Thornthwaite, and Turc. These models were compared with Penman-Monteith in daily, weekly, and monthly scales. The comparison between the ETP estimation models and the Penman-Monteith model was performed by the statistical indices: accuracy (MAPE) and precision (R2aj). Estimation methods showed differences in efficiency over time scales. The best performances of the models were on the daily scale. For daily scale, methods of Priestley-Taylor, Hargreaves, Hamon, and Makkink present the best values of accuracy and precision for the State of Mato Grosso do Sul. In the weekly scale, the most accurate methods are Hamon and Makkink, while for monthly scale the best methods are Makkink and Priestley-Taylor.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-27
2021-07-14T10:23:47Z
2021-07-14T10:23:47Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1590/0102-7786351026
Revista Brasileira de Meteorologia. Sociedade Brasileira de Meteorologia, v. 35, n. 1, p. 63-80, 2020.
0102-7786
1982-4351
http://hdl.handle.net/11449/211398
10.1590/0102-7786351026
S0102-77862020000100063
S0102-77862020000100063.pdf
url http://dx.doi.org/10.1590/0102-7786351026
http://hdl.handle.net/11449/211398
identifier_str_mv Revista Brasileira de Meteorologia. Sociedade Brasileira de Meteorologia, v. 35, n. 1, p. 63-80, 2020.
0102-7786
1982-4351
10.1590/0102-7786351026
S0102-77862020000100063
S0102-77862020000100063.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Revista Brasileira de Meteorologia
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 63-80
application/pdf
dc.publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
dc.source.none.fl_str_mv SciELO
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128937185771520

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