Surface mass redistribution inversion from global GPS deformation and Gravity Recovery and Climate Experiment (GRACE) gravity data

Monitoring hydrological redistributions through their integrated gravitational effect is the primary aim of the Gravity Recovery and Climate Experiment (GRACE) mission. Time?variable gravity data from GRACE can be uniquely inverted to hydrology, since mass transfers located at or near the Earth's surface are much larger on shorter timescales than those taking place within the deeper Earth and because one can remove the contribution of atmospheric masses from air pressure data. Yet it has been proposed that at larger scales this may be achieved independently by measuring and inverting the elastic loading associated with redistributing masses, e.g., with the global network of the International GPS Service (IGS). This is particularly interesting as long as GRACE monthly gravity solutions do not (yet) match the targeted baseline accuracies at the lower spherical harmonic degrees. In this contribution (1) we describe and investigate an inversion technique which can deal jointly with GPS data and monthly GRACE solutions. (2) Previous studies with GPS data have used least squares estimators and impose solution constraints through low?degree spherical harmonic series truncation. Here we introduce a physically motivated regularization method that guarantees a stable inversion up to higher degrees, while seeking to avoid spatial aliasing. (3) We apply this technique to GPS data provided by the IGS service covering recent years. We can show that after removing the contribution ascribed to atmospheric pressure loading, estimated annual variations of continental?scale mass redistribution exhibit pattern similar to those observed with GRACE and predicted by a global hydrology model, although systematic differences appear to be present. (4) We compute what the relative contribution of GRACE and GPS would be in a joint inversion: Using current error estimates, GPS could contribute with up to 60% to degree 2 till 4 spherical harmonic coefficients and up to 30% for higher?degree coefficients.

[1]  Monika Korte,et al.  Regularization of spherical cap harmonics , 2003 .

[2]  W. Farrell Deformation of the Earth by surface loads , 1972 .

[3]  Michael B. Heflin,et al.  Site distribution and aliasing effects in the inversion for load coefficients and geocenter motion from GPS data , 2002 .

[4]  Benjamin F. Chao,et al.  On inversion for mass distribution from global (time-variable) gravity field , 2005 .

[5]  Peter J. Clarke,et al.  Inversion of Earth's changing shape to weigh sea level in static equilibrium with surface mass redistribution , 2003 .

[6]  Huug van den Dool,et al.  Climate Prediction Center global monthly soil moisture data set at 0.5 resolution for 1948 to present , 2004 .

[7]  Gernot Plank,et al.  Spatially restricted data distributions on the sphere: the method of orthonormalized functions and applications , 2001 .

[8]  G. Blewitt,et al.  A New Global Mode of Earth Deformation: Seasonal Cycle Detected , 2001, Science.

[9]  M. Watkins,et al.  GRACE Measurements of Mass Variability in the Earth System , 2004, Science.

[10]  G. Blewitt Self‐consistency in reference frames, geocenter definition, and surface loading of the solid Earth , 2003 .

[11]  S. Swenson,et al.  Methods for inferring regional surface‐mass anomalies from Gravity Recovery and Climate Experiment (GRACE) measurements of time‐variable gravity , 2002 .

[12]  J. Wahr The effects of the atmosphere and oceans on the Earth's wobble — I. Theory , 1982 .

[13]  C. Jekeli The determination of gravitational potential differences from satellite-to-satellite tracking , 1999 .

[14]  Michael B. Heflin,et al.  Large‐scale global surface mass variations inferred from GPS measurements of load‐induced deformation , 2003 .

[15]  Roland Klees,et al.  Computation of spherical harmonic coefficients from gravity gradiometry data to be acquired by the GOCE satellite: regularization issues , 2003 .

[16]  Karl-Rudolf Koch,et al.  Parameter estimation and hypothesis testing in linear models , 1988 .

[17]  R. Nerem,et al.  Observations of annual variations of the Earth's gravitational field using satellite laser ranging and geophysical models , 2000 .

[18]  R. Rummel,et al.  Generalized ridge regression with applications in determination of potential fields , 1994 .

[19]  C. Hwang A method for computing the coefficients in the product-sum formula of associated Legendre functions , 1995 .