Articles | Volume 20, issue 3
Nat. Hazards Earth Syst. Sci., 20, 859–875, 2020
https://doi.org/10.5194/nhess-20-859-2020

Special issue: Remote sensing, modelling-based hazard and risk assessment,...

Nat. Hazards Earth Syst. Sci., 20, 859–875, 2020
https://doi.org/10.5194/nhess-20-859-2020

Research article 27 Mar 2020

Research article | 27 Mar 2020

Estimation of evapotranspiration by the Food and Agricultural Organization of the United Nations (FAO) Penman–Monteith temperature (PMT) and Hargreaves–Samani (HS) models under temporal and spatial criteria – a case study in Duero basin (Spain)

Rubén Moratiel et al.

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Cited articles

Aguilar, C. and Polo, M. J.: Generating reference evapotranspiration surfaces from the Hargreaves equation at watershed scale, Hydrol. Earth Syst. Sci., 15, 2495–2508, https://doi.org/10.5194/hess-15-2495-2011, 2011. 
Allen, R. G.: Evaluation of procedures for estimating grass reference evapotranspiration using air temperature data only, Report submitted to Water Resources Development and Management Service, Land and Water Development Division, United Nations Food and Agriculture Service, Rome, Italy, 1995. 
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crops evapotranspiration, Guidelines for computing crop requirements, Irrigations and Drainage Paper 56, FAO, Rome, 300 pp., 1998. 
Allen, R. G., Pereira, L. S., Howell, T. A., and Jensen, E.: Evapotranspiration information reporting: I. Factors governing measurement accuracy, Agr. Water Manage., 98, 899–920, https://doi.org/10.1016/j.agwat.2010.12.015, 2011. 
Almorox, J., Quej, V. H., and Martí, P.: Global performance ranking of temperature-based approaches for evapotranspiration estimation considering Köppen climate classes, J. Hydrol., 528, 514–522, https://doi.org/10.1016/j.jhydrol.2015.06.057, 2015. 
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Short summary
The estimation of ETo using temperature is particularly attractive in places where air humidity, wind speed and solar radiation data are not readily available. In this study we used, for the estimation of ETo, seven models against Penman–Monteith FAO 56 with temporal (annual and seasonal) and spatial perspective over Duero basin (Spain). The results of the tested models can be useful for adopting appropriate measures for efficient water management under the limitation of agrometeorological data.
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