Description
Groundwater is a vital resource, especially in arid regions where surface water is limited. The U.S. Geological Survey (USGS) reports approximately 82 billion gallons of groundwater are withdrawn daily in the U.S. for domestic, irrigation, industrial, mining, thermoelectric, livestock, and aquaculture uses.
According to the National Groundwater Association (NGWA), groundwater accounts for about 29% of total U.S. water usage; about two thirds of that groundwater is used for irrigation. Aquifers in certain regions of the world are being depleted by unsustainable groundwater pumping to support irrigated agriculture, including in southern High Plains and Central Valley aquifers in the U.S., northern India, the North China Plain, and parts of the Middle East.
The Gravity Recovery and Climate Experiment (GRACE, 2002–2017) and GRACE Follow-On (GRACE-FO, 2018–present) satellite missions -- supported by NASA and the German Research Centre for Geosciences (GFZ) -- provide monthly estimates of changes in terrestrial water storage (the sum of groundwater, soil moisture, surface waters, snow, and ice) at spatial resolutions no better than about 150,000 km² at mid-latitudes. While useful for detection of large-scale changes, the coarse resolution limits regional-scale groundwater assessments.
There are, however, groundwater products with higher spatial resolutions, which can be useful for finer scale groundwater monitoring. A new product from Observational Products for End-Users from Remote Sensing Analysis (OPERA), provides surface displacement products (DISP) for North America indicating subsidence due to groundwater withdrawal based on Synthetic Aperture Radar (SAR) from Sentinel-1 at 30 m2 (and from NISAR as of next year). In addition, NASA's Global Land Data Assimilation System (GLDAS) assimilates GRACE/GRACE-FO data into a land surface model along with other, higher resolution inputs, producing daily outputs on a 0.25° (~25 km) grid.
This three-part training will focus on an overview of GRACE/GRACE-FO data, OPERA-DISP data, and GLDAS groundwater data for assessing seasonal to interannual groundwater changes at various spatial scales. The training will provide hands-on experience in accessing and analyzing these products for applications.