TerraClimate is a global gridded dataset of meteorological and water balance variables for 1958-present, available on a monthly timestep. Its relatively fine spatial resolution, global extent, and long length are a unique combination that fills a void in climate data. TerraClimate combines spatial climatology from WorldClim with time-varying information from the coarser resolution CRU TS4.0. In addition to maximum and minimum temperatures and precipitation, TerraClimate provides derived variables including reference evapotranspiration, vapor pressure deficit, and PDSI. Water balance metrics including runoff, snow water equivalent, soil moisture, and climatic water deficit are calculated using a Thornthwaite-Mather climatic water-balance model (e.g., Willmott et al., 1985; Dobrowski et al., 2013) and extractable soil water storage capacity data (Wang-Erlandsson et al. 2016). These data can be used in species distribution modeling, to approximate local variability and changes where station-based data are lacking or derived variables are preferred, and for climate-impact analyses in ecological, agricultural, and hydrological systems cases where spatial attributes of climate may be preferred over coarser resolution data. TerraClimate inherits uncertainties from the input datasets used, and likewise does not improve the spatial scale of climate anomalies over the coarser resolution parent dataset.