Hydrological Land Surface Data and Services at NASA GES DISC

NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) is one of twelve NASA Earth Observing System (EOS) data centers that process, archive, document, and distribute data from Earth science missions and related projects. The GES DISC hosts a wide range of remotely-sensed and model data and provides reliable and robust data access and services to users worldwide. This presentation, focusing on hydrological land surface data, provides a summary table for the hydrological data holdings, along with discussions of recent updates to data and data services. New products include (1) Global Land Data Assimilation System (GLDAS) Version 2.0 daily data from the ‘Catchment’ model and (2) North American Land Data Assimilation System (NLDAS) & Climate Change Initiative (CCI) merged daily root-zone soil moisture data. Reprocessed products include (1) National Climate Assessment (NCA)-LDAS Noah model data Version 2.0, (2) GLDAS Noah model data Version 2.0 (forced by recently updated Princeton Meteorological forcing data), (3) assimilated-Gravity Recovery and Climate Experiment (GRACE) Version 2.0 drought indicators, and (4) FLDAS [Famine Early Warning Systems Network (FEWS NET) LDAS] monthly and daily data. A new subset/regridding, service, along with format conversion capability, is available for most of the hydrological data products. The model products contain observational forcing data, including precipitation, temperature, humidity, downward shortwave and longwave radiation, wind, and surface pressure; and model output data, including rain, snow, soil moisture, soil temperature, runoff, and heat fluxes. These quality-controlled, spatially and temporally consistent hydrological land surface data characterize the spatial and temporal variability of Earth’s water and energy cycles. These data could help improve our understanding of land-surface-atmosphere interactions and the impact of land-surface processes on climate extremes, as well as support ongoing modeling activities.