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• W2019928915 abstract "Reference evapotranspiration (ETo) assessment at regional scale is a challenge to agricultural and hydrological research requiring the characterization of vast areas to obtain accurate meteorological variables. To account for this, a new approach considering a modified version of the Makkink equation and based on a combination of remotely sensed solar radiation (Rs) considering the MSG satellite, and numerical weather forecast of near surface air temperature (T2m), was developed. The new approach is referred as Makkink-Advection equation (MAK-Adv). Once Rs and T2m were validated for the semiarid conditions registered in Southern Spain with very satisfactory results (RMSE = 1.6 MJ m−2 d−1 and 1.4 °C respectively, with linear regressions with slope = 0.99 and R2 = 0.97), the MAK-Adv approach was calibrated and validated with ETo measurements from a weighing lysimeter under near-reference conditions in Southern Spain. The new approach has provided accurate daily ETo estimations compared with lysimeter data (RMSE = 0.50 mm d−1, RE = 12.3% and MAE = 0.39 mm d−1), and remains accurate during summer time (RMSE = 0.62 mm d−1 and RE = 9%), the critical period when accurate ETo data are essential for a correct agricultural water management. Once calibrated and validated, and thanks to the use of remotely sensed data, the MAK-Adv approach allowed the ETo assessment at regional scale. For a semi-arid region located in southern Spain with an area of 87,300 km2, a detailed spatial ETo assessment was performed, determining ETo values for the totality of the area with a resolution of about 9 km2 allowing to evaluate the spatial and temporal variability at basin/region scale. This new approach gets over the serious limitations for a correct ETo assessment when traditional methodologies are not able to provide these data for vast areas, even with the modern weather station networks. Thus, MAK-Adv approach is especially useful for those areas with missing or inaccurate meteorological in situ observations." @default.
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• W2019928915 date "2014-12-01" @default.
• W2019928915 modified "2023-10-16" @default.
• W2019928915 title "Assessment of reference evapotranspiration using remote sensing and forecasting tools under semi-arid conditions" @default.
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• W2019928915 doi "https://doi.org/10.1016/j.jag.2014.06.008" @default.
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