Improving evapotranspiration estimation by integrating process-based biophysical variables into a deep learning approach
Study Region 103 FLUXNET2015 flux towers distributed across diverse climatic and ecological regions. Study Focus Accurate estimation of evapotranspiration (ET) is critical for understanding regional ecohydrological processes. Physically based models such as the Penman-Monteith-Leuning (PML) model are robust but often constrained by fixed parameterization schemes, while data-driven approaches such
