BetaBetaDataset
To provide high resolution surface meteorological dataset for important input in ecological, agricultural, and hydrological models.
gridMET is a dataset of daily high-spatial resolution (~4-km, 1/24th degree) surface meteorological data covering the contiguous US from 1979-yesterday
Dataset consists of: maximum temperature, minimum temperature, precipitation accumulation, downward surface shortwave radiation, wind-velocity, maximum and minimum relative humidity, specific humidity. Derived variables dataset indicators are: reference evapotranspiration, Energy Release Component, Burning Index, 100-hour and 1000-hour dead fuel moisture, mean vapor pressure deficit, 10-day Palmer Drought Severity Index and fuel model G (conifer forest).
Blends spatial attributes of gridded data from PRISM Climate group and additional variables from regional reanalysis NLDAS-2 using climatically aided interpolation.