Landscape-scale modeling has been hindered by suitable high-resolution surface meteorological datasets that include temperature, precipitation, downward
shortwave radiation, humidity and winds. To overcome these limitations, desirable spatial attributes of gridded climate data from PRISM are combined with desirable temporal attributes of regional-scale reanalysis and daily gauge-based
precipitation from NLDAS-2 to derive a spatially and temporally
complete, high-resolution (1/24th degree ~4-km) gridded dataset of surface meteorological variables required in modeling for the coterminous United States from
Validation of the resulting gridded surface meteorological data was conducted against an extensive network of weather stations including RAWS, AgriMet, AgWeatherNet and USHCN-2. For more information on validation measures see Abatzoglou (2011).
This Dataset has the following features: