Several studies have projected increases in drought severity, extent and duration in many parts of the world under climate change. We examine sources of uncertainty arising from the methodological choices for the assessment of future drought risk in the continental US (CONUS). One such uncertainty is in the climate models' expression of evaporative demand (E0), which is not a direct climate mod...

In order to determine the required water for irrigation it is necessary to calculate the amount of needed water by plant or evapotranspiration. The equations that are used to calculate evapotranspiration are not applying the same climatic parameters and, due to their experimental nature, they are not suitable for all climatic conditions. In the present study in order to compare evapotranspirati...

This paper investigates the abilities of Artificial Neural Networks (ANN), Least Squares – Support Vector Regression (LS-SVR), Fuzzy Logic, and Adaptive Neuro-Fuzzy Inference System (ANFIS) techniques to improve the accuracy of daily pan evaporation estimation in sub-tropical climates. Meteorological data from the Karso watershed in India (consisting of 3801 daily records from the year 2000 to ...

Accurate estimation of evapotranspiration (ET) is vital for water resource development, planning and management, particularly in the present global warming context. A large number empirical ET models have been developed estimating ET. The main limitations this method are that it requires several meteorological variables an extensive data span to comprehend pattern accurately, which not availabl...

the hargreaves-samani (hs) equation, which estimates reference evapotranspiration (et0) using only temperature as input, should be most suitable for et0 prediction based on weather forecasting data. in the current study, the hs equation is calibrated with daily et0 by the penman-monteith equation, and is evaluated to check the possibility of predicting daily et0 based on weather forecast data. ...