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Article

Modelling Actual Evapotranspiration Seasonal Variability by Meteorological Data-Based Models

1
Department of Civil Engineering, University of Salerno, 84084 Fisciano, Italy
2
Agrosphere Institute (IBG-3), Institute of Bio- and Geosciences of the Research Center Jülich, 52425 Jülich, Germany
*
Author to whom correspondence should be addressed.
Hydrology 2020, 7(3), 50; https://doi.org/10.3390/hydrology7030050
Received: 15 June 2020 / Revised: 27 July 2020 / Accepted: 30 July 2020 / Published: 2 August 2020
(This article belongs to the Special Issue Soil Water Balance)
This study aims at illustrating a methodology for predicting monthly scale actual evapotranspiration losses only based on meteorological data, which mimics the evapotranspiration intra-annual dynamic. For this purpose, micrometeorological data at the Rollesbroich and Bondone mountain sites, which are energy-limited systems, and the Sister site, a water-limited system, have been analyzed. Based on an observed intra-annual transition between dry and wet states governed by a threshold value of net radiation at each site, an approach that couples meteorological data-based potential evapotranspiration and actual evapotranspiration relationships has been proposed and validated against eddy covariance measurements, and further compared to two well-known actual evapotranspiration prediction models, namely the advection-aridity and the antecedent precipitation index models. The threshold approach improves the intra-annual actual evapotranspiration variability prediction, particularly during the wet state periods, and especially concerning the Sister site, where errors are almost four times smaller compared to the basic models. To further improve the prediction within the dry state periods, a calibration of the Priestley-Taylor advection coefficient was necessary. This led to an error reduction of about 80% in the case of the Sister site, of about 30% in the case of Rollesbroich, and close to 60% in the case of Bondone Mountain. For cases with a lack of measured data of net radiation and soil heat fluxes, which are essential for the implementation of the models, an application derived from empirical relationships is discussed. In addition, the study assessed whether this variation from meteorological data worsened the prediction performances of the models. View Full-Text
Keywords: evapotranspiration; Priestley-Taylor model; advection-aridity model; antecedent precipitation index model; Penman equation; oceanic climate; mediterranean climate; eddy covariance fluxes evapotranspiration; Priestley-Taylor model; advection-aridity model; antecedent precipitation index model; Penman equation; oceanic climate; mediterranean climate; eddy covariance fluxes
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MDPI and ACS Style

Mobilia, M.; Schmidt, M.; Longobardi, A. Modelling Actual Evapotranspiration Seasonal Variability by Meteorological Data-Based Models. Hydrology 2020, 7, 50. https://doi.org/10.3390/hydrology7030050

AMA Style

Mobilia M, Schmidt M, Longobardi A. Modelling Actual Evapotranspiration Seasonal Variability by Meteorological Data-Based Models. Hydrology. 2020; 7(3):50. https://doi.org/10.3390/hydrology7030050

Chicago/Turabian Style

Mobilia, Mirka, Marius Schmidt, and Antonia Longobardi. 2020. "Modelling Actual Evapotranspiration Seasonal Variability by Meteorological Data-Based Models" Hydrology 7, no. 3: 50. https://doi.org/10.3390/hydrology7030050

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