The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms designed to estimate terrestrial evaporation and root-zone soil moisture using satellite data. This study presents the third version (v3) of GLEAM, which includes key improvements such as a revised evaporative stress formulation, an optimized drainage algorithm, and a new soil moisture data assimilation system. GLEAM v3 produces three new data sets: a 36-year dataset (1980–2015) and two satellite-based datasets (2003–2015 and 2011–2015). These data sets are validated against in situ soil moisture and evaporation measurements from 2325 sensors and 91 eddy-covariance towers, respectively. Results show that the quality of the v3 soil moisture data sets is consistently better than that of the previous version (v2), with average correlations against in situ surface soil moisture measurements increasing from 0.61 to 0.64 for the v3a dataset. The quality of the evaporation fluxes remains similar to that of v2, with average correlations ranging from 0.78 to 0.81. The global data sets of terrestrial evaporation and root-zone soil moisture are available at www.GLEAM.eu and can be used for large-scale hydrological applications, climate studies, and research on land-atmosphere feedbacks.The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms designed to estimate terrestrial evaporation and root-zone soil moisture using satellite data. This study presents the third version (v3) of GLEAM, which includes key improvements such as a revised evaporative stress formulation, an optimized drainage algorithm, and a new soil moisture data assimilation system. GLEAM v3 produces three new data sets: a 36-year dataset (1980–2015) and two satellite-based datasets (2003–2015 and 2011–2015). These data sets are validated against in situ soil moisture and evaporation measurements from 2325 sensors and 91 eddy-covariance towers, respectively. Results show that the quality of the v3 soil moisture data sets is consistently better than that of the previous version (v2), with average correlations against in situ surface soil moisture measurements increasing from 0.61 to 0.64 for the v3a dataset. The quality of the evaporation fluxes remains similar to that of v2, with average correlations ranging from 0.78 to 0.81. The global data sets of terrestrial evaporation and root-zone soil moisture are available at www.GLEAM.eu and can be used for large-scale hydrological applications, climate studies, and research on land-atmosphere feedbacks.