Comparing Evapotranspiration Estimates from the GEOframe-Prospero Model with Penman–Monteith and Priestley-Taylor Approaches under Different Climate Conditions

Evapotranspiration (ET) is a key variable in the hydrological cycle and it directly impacts surface balance its accurate assessment essential for correct water management. ET difficult to measure, since existing methods direct estimate, such as weighing lysimeter or eddy-covariance system, are often expensive require well-trained research personnel. To overcome this limit, different authors developed experimental models indirect estimation of ET. However, accuracy prediction crucial from points view, continuous search more precise modeling approaches encouraged. In light this, aim present work test efficiency predicting fluxes newly introduced physical-based model, named Prospero, which based on ability compute using multi-layer canopy solving energy both sunlight shadow vegetation, extending recently Schymanski Or method level. Additionally, Prospero able actual Jarvis-like model. The model integrated component modelling system GEOframe. Its estimates were validated against observed data five Eddy covariance (EC) sites with climatic conditions same vegetation cover. Then, performances compared those two already consolidated models, Priestley–Taylor Penman FAO four goodness-of-fit indices. Subsequently calibration three has been carried out LUCA within GEOframe, purpose errors. results showed that respect other even if no calibrations performed, better dry conditions. addition, turned be least affected by procedure and, therefore, can effectively also used context scarcity.