Measurements provided by GRACE have improved understanding of phenomena including the thinning of
ice sheets, the flow of water through
aquifers, and shifts in the Earth's
crust.
Oceanography, hydrology, and ice sheets GRACE chiefly detected changes in the distribution of water across the Earth. Scientists use GRACE data to estimate ocean bottom pressure (the combined weight of the ocean waters and atmosphere), which is as important to oceanographers as
atmospheric pressure is to meteorologists. For example, measuring ocean pressure gradients allows scientists to estimate monthly changes in deep ocean currents. The limited resolution of GRACE is acceptable in this research because large ocean currents can also be estimated and verified by an ocean buoy network. GRACE data help to determine the cause of
sea level rise, whether it is the result of mass being added to the ocean – from melting
glaciers, for example – or from
thermal expansion of warming water or changes in
salinity. High-resolution static gravity fields estimated from GRACE data have helped improve the understanding of global
ocean circulation. The hills and valleys in the ocean's surface (
ocean surface topography) are due to currents and variations in Earth's gravity field. GRACE enables separation of those two effects to better measure ocean currents and their effect on climate. GRACE data have provided a record of mass loss within the
ice sheets of Greenland and Antarctica. Greenland has been found to lose of ice per year between 2003 and 2013, while Antarctica has lost per year in the same period. These equate to a total of 0.9 mm/yr of sea level rise. Increases in
ocean heat content resulting from
Earth's Energy Imbalance of about 0.8 W/m2 were similarly found spanning 2002 thru 2019. GRACE data have also provided insights into regional hydrology inaccessible to other forms of remote sensing: for example,
groundwater depletion in India and California. The annual hydrology of the
Amazon basin provides a strong signal when viewed by GRACE. A
University of California, Irvine-led study published in
Water Resources Research on 16 June 2015 used GRACE data between 2003 and 2013 to conclude that 21 of the world's 37 largest aquifers "have exceeded sustainability tipping points and are being depleted" and thirteen of them are "considered significantly distressed." The most over-stressed is the
Arabian Aquifer System, upon which more than 60 million people depend for water.
Geophysics GRACE also detects changes in the gravity field due to geophysical processes.
Glacial isostatic adjustment—the slow rise of land masses once depressed by the weight of ice sheets from the last ice age—is among these signals. GIA signals appear as secular trends in gravity field measurements and must be removed to accurately estimate changes in water and ice mass in a region. GRACE is also sensitive to permanent changes in the gravity field due to earthquakes. For instance, GRACE data have been used to analyze the shifts in the Earth's crust caused by the earthquake that created the 2004 Indian Ocean tsunami. In 2006, a team of researchers led by Ralph von Frese and Laramie Potts used GRACE data to discover the
Wilkes Land crater in
Antarctica, which was probably formed about 250 million years ago.
Geodesy Data from GRACE has improved the current
Earth gravitational field model, leading to improvements in the field of
geodesy. This improved model has allowed for corrections in the equipotential surface from which land elevations are referenced. This more accurate reference surface allows for more accurate coordinates of latitude and longitude and for less error in the calculation of geodetic satellite orbits.
Other signals GRACE is sensitive to regional variations in the mass of the atmosphere and high-frequency variation in ocean bottom pressure. These variations are well understood and are removed from monthly gravity estimates using
forecast models to prevent
aliasing. Nonetheless, errors in these models influence GRACE solutions. GRACE data also contribute to fundamental physics. They have been used to re-analyze data obtained from the
LAGEOS experiment to try to measure the relativistic
frame-dragging effect. == Spacecraft ==