 This paper presents a novel approach for estimating global evaporation using satellite data. It combines microwave-derived soil moisture, land surface temperature, and vegetation density with rainfall interception loss to develop a simplified version of the prechelite, Taylor, PT, evaporation model. The model was tested on one year of eddy covariance measurements from 43 sites across the globe and showed strong correlations between the estimated evaporation and the measured values, R equals 0.80. Additionally, the model performed well in different climates and vegetation types, with an average correlation coefficient of R equals 0.83. Finally, the authors produced the first global map of annual evaporation derived from satellite data. This article is authored by D. G. Morales, T. R. H. Holmes, R. A. M. Dejeu, and others.