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Terrestrial evaporation plays a crucial role in modulating climate and water resources. Here, we present a continuous, daily dataset covering 1980-2023 with a 0.1 degrees spatial resolution, produced using the fourth generation of the Global Land Evaporation Amsterdam Model (GLEAM). GLEAM4 embraces developments in hybrid modelling, learning evaporative stress from eddy-covariance and sapflow data. It features improved representation of key factors such as interception, atmospheric water demand, soil moisture, and plant access to groundwater. Estimates are inter-compared with existing global evaporation products and validated against in situ measurements, including data from 473 eddy-covariance sites, showing a median correlation of 0.73, root-mean-square error of 0.95 mm d-1, and Kling-Gupta efficiency of 0.49. Global land evaporation is estimated at 68.5 x 103 km3 yr-1, with 62% attributed to transpiration. Beyond actual evaporation and its components (transpiration, interception loss, soil evaporation, etc.), the dataset also provides soil moisture, potential evaporation, sensible heat flux, and evaporative stress, facilitating a wide range of hydrological, climatic, and ecological studies.
Kumar Varoon Agrawal, Mounir Driss Mensi, Luis Francisco Villalobos Vazquez de la Parra, Shiqi Huang, Mostapha Dakhchoune, Kuang-Jung Hsu, Wan-Chi Lee