Global Land Data Assimilation System (GLDAS) is a dataset composed of land surface fluxes and states. It is produced using satellite and land-based observational data products with a non coupled land surface modeling system and data assimilation techniques (Rodell et al., 2004). GLDAS provides climate variables, soil moisture, and snow data.
Evapotranspiration: Actual evapotranspiration (ETa)
Total Runoff: Mean runoff (volume/area)
Surface Soil Moisture (0-10cm): Soil moisture storage in first 10cm of soil (volume/area)
Root Zone Soil Moisture (0-100cm): Soil moisture storage in first 100cm of soil (volume/area)
Snow Depth: Depth of snow
Snow Water Equivalent (SWE): Depth of water if snow were to melt completely (volume/area)
Period of Record
Rodell, M., Houser, P. R., Jambor, U. E. A., Gottschalck, J., Mitchell, K., Meng, C. J., … & Entin, J. K. (2004). The global land data assimilation system. Bulletin of the American Meteorological Society, 85(3), 381-394.
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