Delgado-Ramírez, G.; Bolaños-González, M.A.; Quevedo-Nolasco, A.; López-Pérez, A.; Estrada-Ávalos, J. Estimation of Reference Evapotranspiration in a Semi-Arid Region of Mexico. Sensors2023, 23, 7007.
Delgado-Ramírez, G.; Bolaños-González, M.A.; Quevedo-Nolasco, A.; López-Pérez, A.; Estrada-Ávalos, J. Estimation of Reference Evapotranspiration in a Semi-Arid Region of Mexico. Sensors 2023, 23, 7007.
Delgado-Ramírez, G.; Bolaños-González, M.A.; Quevedo-Nolasco, A.; López-Pérez, A.; Estrada-Ávalos, J. Estimation of Reference Evapotranspiration in a Semi-Arid Region of Mexico. Sensors2023, 23, 7007.
Delgado-Ramírez, G.; Bolaños-González, M.A.; Quevedo-Nolasco, A.; López-Pérez, A.; Estrada-Ávalos, J. Estimation of Reference Evapotranspiration in a Semi-Arid Region of Mexico. Sensors 2023, 23, 7007.
Abstract
Reference evapotranspiration (ET0) is the first step in calculating crop irrigation demand, and numerous methods have been proposed to estimate this parameter. FAO-56 Penman-Monteith (PM) is the only standard method for defining and calculating ET0. However, it requires radiation, air temperature, atmospheric humidity, and wind speed data, limiting its application in regions where these data are unavailable; therefore, new alternatives are required. This study compared the accuracy of ET0 calculated with the Blaney-Criddle (BC) and Hargreaves-Samani (HS) methods versus PM using information from an automated weather station (AWS) and the NASA-POWER platform (NP) for different periods of time. The information collected corresponding at Module XII of the Lagunera Region Irrigation District 017, a semi-arid region in the North of Mexico. The HS method underestimated by 5.5 % the reference evapotranspiration (ET0) compared to the PM method during the period from March to August, and yielded the best fit in the different evaluation periods: daily, average, and 5-day cumulative; the latter showed the best values of inferential parameters. The information about maximum and minimum temperatures from the NP platform was suitable for estimating ET0 using the HS equation. This data source is a timely alternative, particularly in semi-arid regions where no data from weather stations are available.
Keywords
NASA-POWER platform; empirical equations; reanalysis data; meteorological data
Subject
Environmental and Earth Sciences, Water Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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