Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China

Accurate estimation of reference evapotranspiration (ET0) is very important in hydrological cycle research, and is essential in agricultural water management and allocation. The application of the standard model (FAO-56 Penman-Monteith) to estimate ET0 is restricted due to the absence of required meteorological data. Although many machine learning algorithms have been applied in modeling ET0 with fewer meteorological variables, most of the...