NDLI: Parametric Modelling of Potential Evapotranspiration: A Global Survey

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Parametric Modelling of Potential Evapotranspiration: A Global Survey

Content Provider	MDPI
Author	Tegos, Aristoteles Malamos, Nikolaos Efstratiadis, Andreas Tsoukalas, Ioannis Karanasios, Alexandros Koutsoyiannis, Demetris
Abstract	We present and validate a global parametric model of potential evapotranspiration (PET) with two parameters that are estimated through calibration, using as explanatory variables temperature and extraterrestrial radiation. The model is tested over the globe, taking advantage of the Food and Agriculture Organization (FAO CLIMWAT) database that provides monthly averaged values of meteorological inputs at 4300 locations worldwide. A preliminary analysis of these data allows for explaining the major drivers of PET over the globe and across seasons. The model calibration against the given Penman-Monteith values was carried out through an automatic optimization procedure. For the evaluation of the model, we present global maps of optimized model parameters and associated performance metrics, and also contrast its performance against the well-known Hargreaves-Samani method. Also, we use interpolated values of the optimized parameters to validate the predictive capacity of our model against monthly meteorological time series, at several stations worldwide. The results are very encouraging, since even with the use of abstract climatic information for model calibration and the use of interpolated parameters as local predictors, the model generally ensures reliable PET estimations. Exceptions are mainly attributed to irregular interactions between temperature and extraterrestrial radiation, as well as because the associated processes are influenced by additional drivers, e.g., relative humidity and wind speed. However, the analysis of the residuals shows that the model is consistent in terms of parameters estimation and model validation. The parameter maps allow for the direct use of the model wherever in the world, providing PET estimates in case of missing data, that can be further improved even with a short term acquisition of meteorological data.
File Size	10996736
File Format	PDF
e-ISSN	20734441
DOI	10.3390/w9100795
Journal	Water
Issue Number	10
Volume Number	9
Language	English
Publisher Date	2017-10-16
Access Restriction	Open
Subject Keyword	potential evapotranspiration Penman-Monteith method parametric model CLIMWAT 2.0 database spatial interpolation calibration validation
Content Type	Text
Resource Type	Article

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