EVAPO: A smartphone application to estimate potential evapotranspiration using cloud gridded meteorological data from NASA-POWER system

被引:21
|
作者
Maldonado Junior, Walter [1 ]
Borges Valeriano, Taynara Tuany [1 ]
Rolim, Glauco de Souza [1 ]
机构
[1] Sao Paulo State Univ Unesp, Sch Agr & Veterinarian Sci, Dept Math Sci, Access Way Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, Brazil
关键词
Internet of things; Big data; Irrigation; Rational use of water; NET-RADIATION; EQUATIONS;
D O I
10.1016/j.compag.2018.10.032
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
In this study a new android app for smartphones to estimate potential evapotranspuration (PET) in real time, using gridded data from NASA-POWER, to any location in the world, would result in a more efficient irrigation and increase irrigation water conservation. The smartphone app called EVAPO uses meteorological data to calculate PET using the Penman-Monteith (FA056) method. To evaluate performance of the proposed method, we compared PET estimated by the EVAPO with that estimated from climatic data from conventional surface meteorological stations. The accuracy, tendency and precision of the models were determined using the Willmott et al. (1985) concordance index (d), systematic root mean square error (RMSEs) and determination index (R-2), respectively. The results obtained were satisfactory for all studied locations whit mean values of 0.67, 0.95 (mm) and 0.72 ford, RMSEs and R-2, respectively. The app can be accessed in the Play Store (free): https://play.google. com/store/apps/details?id = br.com.maldonado.instantet0.
引用
收藏
页码:187 / 192
页数:6
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