The proposed method for calculation of potential evapotranspiration is Penman-Monteith FAO method, but there are other methods that require less meteorological data but estimates close to the FAO Penman-Monteith method in different climatic conditions.  Performance evaluation of these methods on the same basis is prerequisite for selecting an alternative approach in accordance with available da...

Prediction of potential evapotranspiration (PET) using an artificial neural network (ANN) with a different architecture is not uncommon. Most researchers select the optimal statistical indicators. However, there still gap to be filled in future applications various drought indices and assessment location, duration, average, maximum minimum. The objective was compare performance PET computed ANN...

The impact ofmodel structure andparameterization on the estimation of evaporation is investigated across a range of Penman–Monteith type models. To examine the role of model structure on flux retrievals, three different retrieval schemes are compared. The schemes include a traditional single-source Penman– Monteith model (Monteith, 1965), a two-layer model based on Shuttleworth and Wallace (198...

Remote sensing can assist in improving the estimation of the geographical distribution of evapotranspiration, and consequently water demand in large cultivated areas for irrigation purposes and sustainable water resources management. In the direction of these objectives, the daily actual evapotranspiration was calculated in this study during the summer season of 2001 over the Thessaly plain in ...

seasonal variations of climatic parameters are significant in arid and semi-arid regions and sensitivity of each parameter may differ in different seasons. no work has been done in this regard in iran. therefore, in this study, sensitivity analysis of the asce-penman-monteith grass reference evapotranspiration (eto) equation was investigated on the basis of variation of mean air temperature (tm...