Estimation of potential evapotranspiration with minimal data dependence

A. Tegos, N. Mamassis, and D. Koutsoyiannis, Estimation of potential evapotranspiration with minimal data dependence, European Geosciences Union General Assembly 2009, Geophysical Research Abstracts, Vol. 11, Vienna, 1937, doi:10.13140/RG.2.2.27222.86089, European Geosciences Union, 2009.



We develop a parametric expression which approximates the Penman-Monteith equation thus providing easy estimation of the potential evapotranspiration with minimal data requirements. Namely, the method requires as inputs the mean temperature and the extraterrestrial radiation, from which only the temperature needs to be measured. The model was applied on a monthly step in 37 meteorological stations of Greece for the periods 1968-1983 (calibration period) and 1984-1989 (validation period). The results are satisfactory as the efficiency is greater than 0.97 for all stations and for both calibration and validation periods. Initially, the parametric expression involves three parameters but regional analysis indicates that reduction to one or two parameters is possible and does not increase the error substantially. Using optimization and geographic interpolation through a geographical information system, the parameter values were mapped for the entire territory of Greece, which makes the method directly applicable to any site in the country, the only requirement being that mean temperature data be available.

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Our works that reference this work:

1. A. Tegos, N. Malamos, and D. Koutsoyiannis, A parsimonious regional parametric evapotranspiration model based on a simplification of the Penman-Monteith formula, Journal of Hydrology, 524, 708–717, doi:10.1016/j.jhydrol.2015.03.024, 2015.
2. A. Tegos, H. Tyralis, D. Koutsoyiannis, and K. H. Hamed, An R function for the estimation of trend signifcance under the scaling hypothesis- application in PET parametric annual time series, Open Water Journal, 4 (1), 66–71, 6, 2017.
3. A. Tegos, N. Malamos, A. Efstratiadis, I. Tsoukalas, A. Karanasios, and D. Koutsoyiannis, Parametric modelling of potential evapotranspiration: a global survey, Water, 9 (10), 795, doi:10.3390/w9100795, 2017.
4. A. Tegos, N. Malamos, and D. Koutsoyiannis, RASPOTION - A new global PET dataset by means of remote monthly temperature data and parametric modelling, Hydrology, 9 (2), 32, doi:10.3390/hydrology9020032, 2022.

Other works that reference this work (this list might be obsolete):

1. Tabari, H., P. H. Talaee, P. Willems, and C. Martinez, Validation and calibration of solar radiation equations for estimating daily reference evapotranspiration at cool semi-arid and arid locations, Hydrological Sciences Journal, 2014.

Tagged under: Students' works