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Discussion papers
https://doi.org/10.5194/nhess-2019-250
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2019-250
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 09 Aug 2019

Submitted as: research article | 09 Aug 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

Estimation of evapotranspiration by FAO Penman–Monteith Temperature and Hargreaves–Samani models under temporal and spatial criteria. A case study in Duero Basin (Spain)

Rubén Moratiel1,2, Raquel Bravo3, Antonio Saa1,2, Ana M. Tarquis2, and Javier Almorox1 Rubén Moratiel et al.
  • 1Department of Plant Production, Universidad Politécnica de Madrid, Avda. Complutense s/n, Madrid, 28040, Spain
  • 2CEIGRAM, Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios y Medioambientales, C/Senda del Rey 13, Madrid, 28040, Spain
  • 3Ministerio de Agricultura y Pesca, Alimentación y Medio Ambiente Paseo de la Infanta Isabel 1, Madrid, 28071, Spain

Abstract. Use of the Evapotranspiration based scheduling method is the most common one for irrigation programming in agriculture. There is no doubt that the estimation of the reference evapotranspiration (ETo) is a key factor in irrigated agriculture. However, the high cost and maintenance of agrometeorological stations and high number of sensors required to estimate it creates a non-plausible situation especially in rural areas. For this reason the estimation of ETo using air temperature, in places where wind speed, solar radiation and air humidity data are not readily available, is particularly attractive. Daily data record of 49 stations distributed over Duero basin (Spain), for the period 2000–2018, were used for estimation of ETo based on seven models against Penman–Monteith FAO 56 with temporal (annual or seasonal) and spatial perspective. Two Hargreaves–Samani models (HS), with and without calibration, and five Penman–Monteith temperature models (PMT) were used in this study. The results show that the models' performance changes considerably depending on whether the scale is annual or seasonal. The performance of the seven models was acceptable from an annual perspective (R2 > 0.91, NSE > 0.88, MAE < 0.52 mm · d−1 and RMSE < 0.69 mm · d−1). For winter, no model showed a good performance. In the rest of the seasons, the models with the best performance were three: PMTCUH, HSC and PMTOUH. HSC model presents a calibration of Hargreaves empirical coefficient (kRS). In PMTCUH model, kRS was calibrated and average monthly values were used for wind speed, maximum and minimum relative humidity. Finally, PMTOUH model is as PMTCUH model except that kRS was not calibrated. These results are very useful to adopt appropriate measures for an efficient water management, especially in the intensive agriculture in semi-arid zones, under the limitation of agrometeorological data.

Rubén Moratiel et al.
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Short summary
The estimation of ETo using temperature is particularly attractive in place where air humidity, wind speed and solar radiation data are not readily available. In this study we used for 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 to adopt appropiate measures for an efficient water management under limitation of agrometeorological data.
The estimation of ETo using temperature is particularly attractive in place where air humidity,...
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