Other
Scientific paper
May 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004agusm.g51a..09w&link_type=abstract
American Geophysical Union, Spring Meeting 2004, abstract #G51A-09
Other
1213 Earth'S Interior: Dynamics (8115, 8120), 1223 Ocean/Earth/Atmosphere Interactions (3339), 1227 Planetary Geodesy And Gravity (5420, 5714, 6019), 1236 Rheology Of The Lithosphere And Mantle (8160)
Scientific paper
Previous studies of postglacial sealevels and surface motion often assume lateral homogeneity. However, studies of lateral heterogeneity on postglacial sealevels and surface motion often neglect the spherical shape of the Earth and self-gravity of the solid earth and oceans. In this paper, the gravitationally self-consistent Sea level Equation is solved by the Coupled Laplace-Finite Element method for a spherical, self-gravitating incompressible Maxwell earth. Relative sea level rate, land uplift rate, tangential velocity and rate of change of geoid height are computed for earth models with lateral heterogeneities - including lithospheric thickness, asthenospheric and lower mantle viscosity variations. One goal is to see if these rate-related observations can resolve the lateral structures. Another goal is to determine the optimal location where such observations can be used to resolve such lateral structures. It is found that all these rate-related observations are capable of detecting lateral viscosity contrast in the lower mantle underneath the load. However, geoid rates are not very useful in detecting lateral variations in lithospheric thickness and asthenospheric viscosity but tangential velocity is robust in distinguishing such lateral heterogeneity. Combined lateral variations in lithospheric thickness and asthenospheric viscosity can be detected by RSL data near the ice margin and land uplift rate or RSL rate data near the center of rebound. For lateral variations involving lithospheric thickness alone, the optimal place for detection is near the ice margin for both RSL, land uplift rate and RSL rate.
Wang Hai-Hong
Wu Patrick
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