QUANTIFYING THE CONTRIBUTIONS OF ENVIRONMENTAL PARAMETERS TO CERES SURFACE NET RADIATION ERROR IN CHINA

This study proposed the Remote Sensed Non-Parametric (RSNP) model to estimate global monthly evapotranspiration (ET) from 2001 to 2019 at a spatial resolution of 0.1°, without resistance parameterization. Evaluated with global FLUXNET sites and present global ET datasets, it shows high accuracy, particularly in forested regions, and captures spatial patterns of ET. Our dataset provides a global continuous and seamless ET, which is beneficial for global research and future water balance studies.