The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms for estimating terrestrial evaporation and root-zone soil moisture from satellite data. Since its development in 2011, the model has been regularly updated to incorporate new satellite data and improve physical processes. The third version (v3) of GLEAM introduces key changes, including a revised evaporative stress formulation, an optimized drainage algorithm, and a new soil moisture data assimilation system. GLEAM v3 produces three new data sets: v3a (1980–2015), v3b (2003–2015), and v3c (2011–2015). These data sets are validated against in situ measurements from 91 eddy-covariance towers and 2325 soil moisture sensors across various ecosystems. Results show that the quality of v3 soil moisture is consistently better than v2, with higher correlations against in situ measurements. The evaporation fluxes remain of similar quality to v2, with correlations ranging between 0.78 and 0.81. The data sets are now available at www.GLEAM.eu for hydrological, climate, and land-atmosphere feedback studies. GLEAM v3 improves soil moisture representation, particularly in the second layer, and uses a data assimilation system optimized for global use. The model also incorporates microwave VOD and soil moisture data from various satellites, enhancing its accuracy. The new version of GLEAM provides more reliable estimates of terrestrial evaporation and root-zone soil moisture, supporting climate and hydrological research.The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms for estimating terrestrial evaporation and root-zone soil moisture from satellite data. Since its development in 2011, the model has been regularly updated to incorporate new satellite data and improve physical processes. The third version (v3) of GLEAM introduces key changes, including a revised evaporative stress formulation, an optimized drainage algorithm, and a new soil moisture data assimilation system. GLEAM v3 produces three new data sets: v3a (1980–2015), v3b (2003–2015), and v3c (2011–2015). These data sets are validated against in situ measurements from 91 eddy-covariance towers and 2325 soil moisture sensors across various ecosystems. Results show that the quality of v3 soil moisture is consistently better than v2, with higher correlations against in situ measurements. The evaporation fluxes remain of similar quality to v2, with correlations ranging between 0.78 and 0.81. The data sets are now available at www.GLEAM.eu for hydrological, climate, and land-atmosphere feedback studies. GLEAM v3 improves soil moisture representation, particularly in the second layer, and uses a data assimilation system optimized for global use. The model also incorporates microwave VOD and soil moisture data from various satellites, enhancing its accuracy. The new version of GLEAM provides more reliable estimates of terrestrial evaporation and root-zone soil moisture, supporting climate and hydrological research.