Climate models generate both long-term climate predictions and historical interpolations of surface variables. The Earth Engine catalog includes historical reanalysis data from NCEP/NCAR, gridded meteorological datasets like NLDAS-2, and GridMET, and climate model outputs like the University of Idaho MACAv2-METDATA and the NASA Earth Exchange’s Downscaled Climate Projections.
Land cover maps describe the physical landscape in terms of land cover classes such as forest, grassland, and water. Earth Engine includes a wide variety land cover datasets, including global products such as NASA's MODIS-derived annual land cover maps and ESA's GlobCover, as well as higher-resolution national products such as the USGS National Land Cover Database.
Cropland data is key to understanding global water consumption and agricultural production. Earth Engine includes a number of cropland data products such as the USDA NASS Cropland Data Layers, as well as layers from the Global Food Security-Support Analysis Data (GFSAD) including cropland extent, crop dominance, and watering sources.