Future Global Lake Evaporation

The data contains grided mean annual lake evaporation data derived from the Lake, Ice, Snow, and Sediment Simulator (LISSS) simulations. It includes three primary variables: mean evaporation forced by reanalysis–observation (RO) datasets, mean evaporation driven by global climate models (GCMs) historic data, and mean evaporation driven by GCMs under the RCP8.5 scenario. The RO evaporation represents the average output from LISSS simulations forced with the CRU (Viovy, 2018) and Princeton (Sheffield et al., 2006) datasets, while the GCM driven evaporation reflects the mean of simulations forced with GFDL-ESM2M and GISS-E2R CMIP5 models. This dataset facilitates comparison of historical and projected lake evaporation patterns under high-emissions climate scenarios.