A Simple Application for Computing Reference Evapotranspiration with Various Levels of Data Availability—ETo Tool

Reference evapotranspiration (ETo) estimations may be used to improve the efficiency of irrigated agriculture. However, its computation can be complex and could require numerous weather data that are not always available for many locations. Different methods are available to estimate ETo when limite...

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Autores principales:	Gonçalo C. Rodrigues, Ricardo P. Braga
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	reference evapotranspiration VBA tool alternative methods data availability Agriculture S
Acceso en línea:	https://doaj.org/article/2ece1fd2e2514e19a7fd86831b98517e
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spelling	oai:doaj.org-article:2ece1fd2e2514e19a7fd86831b98517e2021-11-25T16:06:37ZA Simple Application for Computing Reference Evapotranspiration with Various Levels of Data Availability—ETo Tool10.3390/agronomy111122032073-4395https://doaj.org/article/2ece1fd2e2514e19a7fd86831b98517e2021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2203https://doaj.org/toc/2073-4395Reference evapotranspiration (ETo) estimations may be used to improve the efficiency of irrigated agriculture. However, its computation can be complex and could require numerous weather data that are not always available for many locations. Different methods are available to estimate ETo when limited data are available, and the assessment of the most accurate one can be difficult and time consuming. There are some standalone softwares available for computing ETo but none of them allow for the comparison of different methods for the same or different datasets simultaneously. This paper aims to present an application for estimating ETo using several methods that require different levels of data availability, namely FAO-56 Penman–Monteith (PM), the Original and the three modified Hargreaves–Samani (HS and MHS1, MHS2 and MHS3), Trajkovic (TR) and the single temperature procedure (MaxTET). Also, it facilitates the comparison of the accuracy estimation of two selected methods. From an example case, for where the application was used to compute ETo for three different locations, results show that the application can easily and successfully estimate ETo using the proposed methods, allowing for statistical comparison of those estimations. HS proves to be the most accurate method for the studied locations; however, the accuracy of all methods tends to be lower for costal locations than for more continental sites. With this application, users can select the best ETo estimation methods for a specific location and use it for irrigation purposes.Gonçalo C. RodriguesRicardo P. BragaMDPI AGarticlereference evapotranspirationVBA toolalternative methodsdata availabilityAgricultureSENAgronomy, Vol 11, Iss 2203, p 2203 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	reference evapotranspiration VBA tool alternative methods data availability Agriculture S
spellingShingle	reference evapotranspiration VBA tool alternative methods data availability Agriculture S Gonçalo C. Rodrigues Ricardo P. Braga A Simple Application for Computing Reference Evapotranspiration with Various Levels of Data Availability—ETo Tool
description	Reference evapotranspiration (ETo) estimations may be used to improve the efficiency of irrigated agriculture. However, its computation can be complex and could require numerous weather data that are not always available for many locations. Different methods are available to estimate ETo when limited data are available, and the assessment of the most accurate one can be difficult and time consuming. There are some standalone softwares available for computing ETo but none of them allow for the comparison of different methods for the same or different datasets simultaneously. This paper aims to present an application for estimating ETo using several methods that require different levels of data availability, namely FAO-56 Penman–Monteith (PM), the Original and the three modified Hargreaves–Samani (HS and MHS1, MHS2 and MHS3), Trajkovic (TR) and the single temperature procedure (MaxTET). Also, it facilitates the comparison of the accuracy estimation of two selected methods. From an example case, for where the application was used to compute ETo for three different locations, results show that the application can easily and successfully estimate ETo using the proposed methods, allowing for statistical comparison of those estimations. HS proves to be the most accurate method for the studied locations; however, the accuracy of all methods tends to be lower for costal locations than for more continental sites. With this application, users can select the best ETo estimation methods for a specific location and use it for irrigation purposes.
format	article
author	Gonçalo C. Rodrigues Ricardo P. Braga
author_facet	Gonçalo C. Rodrigues Ricardo P. Braga
author_sort	Gonçalo C. Rodrigues
title	A Simple Application for Computing Reference Evapotranspiration with Various Levels of Data Availability—ETo Tool
title_short	A Simple Application for Computing Reference Evapotranspiration with Various Levels of Data Availability—ETo Tool
title_full	A Simple Application for Computing Reference Evapotranspiration with Various Levels of Data Availability—ETo Tool
title_fullStr	A Simple Application for Computing Reference Evapotranspiration with Various Levels of Data Availability—ETo Tool
title_full_unstemmed	A Simple Application for Computing Reference Evapotranspiration with Various Levels of Data Availability—ETo Tool
title_sort	simple application for computing reference evapotranspiration with various levels of data availability—eto tool
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2ece1fd2e2514e19a7fd86831b98517e
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A Simple Application for Computing Reference Evapotranspiration with Various Levels of Data Availability—ETo Tool

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