Estimation of actual evapotranspiration in barley crop through a generalized linear model

Evapotranspiration is a key variable of the water cycle. Its calculation requires several ground data that frequently are not available. This study contains a detailed method and measurements of meteorological and energy balance variables that can be used to estimate the daily actual evapotranspirat...

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Autores principales: Faramiñan, Adán, Rodriguez, Paula Olivera, Carmona, Facundo, Holzman, Mauro, Rivas, Raúl, Mancino, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956861/
https://www.ncbi.nlm.nih.gov/pubmed/35345789
http://dx.doi.org/10.1016/j.mex.2022.101665
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author Faramiñan, Adán
Rodriguez, Paula Olivera
Carmona, Facundo
Holzman, Mauro
Rivas, Raúl
Mancino, Christian
author_facet Faramiñan, Adán
Rodriguez, Paula Olivera
Carmona, Facundo
Holzman, Mauro
Rivas, Raúl
Mancino, Christian
author_sort Faramiñan, Adán
collection PubMed
description Evapotranspiration is a key variable of the water cycle. Its calculation requires several ground data that frequently are not available. This study contains a detailed method and measurements of meteorological and energy balance variables that can be used to estimate the daily actual evapotranspiration (ETa). A linear generalized model is obtained to calculate the ETa from common variables measured in meteorological stations. The method showed a good performance over a barley crop of easthern Argentine Pampas and can be applied and tested in other great plains. Measurements of soil-plant-atmosphere are included The routines to reproduce the method are included The generalized method allows the calculation of daily ETa over crops and was tested over barley crops
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spelling pubmed-89568612022-03-27 Estimation of actual evapotranspiration in barley crop through a generalized linear model Faramiñan, Adán Rodriguez, Paula Olivera Carmona, Facundo Holzman, Mauro Rivas, Raúl Mancino, Christian MethodsX Method Article Evapotranspiration is a key variable of the water cycle. Its calculation requires several ground data that frequently are not available. This study contains a detailed method and measurements of meteorological and energy balance variables that can be used to estimate the daily actual evapotranspiration (ETa). A linear generalized model is obtained to calculate the ETa from common variables measured in meteorological stations. The method showed a good performance over a barley crop of easthern Argentine Pampas and can be applied and tested in other great plains. Measurements of soil-plant-atmosphere are included The routines to reproduce the method are included The generalized method allows the calculation of daily ETa over crops and was tested over barley crops Elsevier 2022-03-12 /pmc/articles/PMC8956861/ /pubmed/35345789 http://dx.doi.org/10.1016/j.mex.2022.101665 Text en © 2022 The Authors. Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Faramiñan, Adán
Rodriguez, Paula Olivera
Carmona, Facundo
Holzman, Mauro
Rivas, Raúl
Mancino, Christian
Estimation of actual evapotranspiration in barley crop through a generalized linear model
title Estimation of actual evapotranspiration in barley crop through a generalized linear model
title_full Estimation of actual evapotranspiration in barley crop through a generalized linear model
title_fullStr Estimation of actual evapotranspiration in barley crop through a generalized linear model
title_full_unstemmed Estimation of actual evapotranspiration in barley crop through a generalized linear model
title_short Estimation of actual evapotranspiration in barley crop through a generalized linear model
title_sort estimation of actual evapotranspiration in barley crop through a generalized linear model
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956861/
https://www.ncbi.nlm.nih.gov/pubmed/35345789
http://dx.doi.org/10.1016/j.mex.2022.101665
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