Accurate estimation of reference evapotranspiration (ET 0 ) and crop coefficients (K c ) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET 0 and K c estimation, most studies address these parameters separately or focus on a single seasonal K c value rather than stage‐specific coeffic...

Climate change and anthropogenic pressures significantly affect Mediterranean water resources, necessitating robust trend analysis methods for effective water management. This study presents a comprehensive assessment of hydrometeorological trends in Türkiye’s largest freshwater lake system, the Beysehir Basin (1981–2016), using a multi-method analytical framework. Traditional approaches (Mann–Kendall test and Sen’s slope esti...