Conversion of time-varying Stokes coefficients into mass anomalies at the Earth’s surface considering the Earth’s oblateness

Time-varying Stokes coefficients estimated from GRACE satellite data are routinely converted into mass anomalies at the Earth’s surface with the expression proposed for that purpose by Wahr et al. (J Geophys Res 103(B12):30,205–30,229, 1998). However, the results obtained with it represent mass transport at the spherical surface of 6378 km radius. We show that the accuracy of such conversion may be insufficient, especially if the target area is located in a polar region and the signal-to-noise ratio is high. For instance, the peak values of mean linear trends in 2003–2015 estimated over Greenland and Amundsen Sea embayment of West Antarctica may be underestimated in this way by about 15%. As a solution, we propose an updated expression for the conversion of Stokes coefficients into mass anomalies. This expression is based on the assumptions that: (i) mass transport takes place at the reference ellipsoid and (ii) at each point of interest, the ellipsoidal surface is approximated by the sphere with a radius equal to the current radial distance from the Earth’s center (“locally spherical approximation”). The updated expression is nearly as simple as the traditionally used one but reduces the inaccuracies of the conversion procedure by an order of magnitude. In addition, we remind the reader that the conversion expressions are defined in spherical (geocentric) coordinates. We demonstrate that the difference between mass anomalies computed in spherical and ellipsoidal (geodetic) coordinates may not be negligible, so that a conversion of geodetic colatitudes into geocentric ones should not be omitted.

[1]  John M. Wahr,et al.  Estimated effects of the vertical structure of atmospheric mass on the time-variable geoid , 2002 .

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

[3]  Benjamin F. Chao,et al.  Precise evaluation of atmospheric loading effects on Earth's time-variable gravity field , 2005 .

[4]  F. Bryan,et al.  Time variability of the Earth's gravity field: Hydrological and oceanic effects and their possible detection using GRACE , 1998 .

[5]  Pavel Ditmar,et al.  Understanding data noise in gravity field recovery on the basis of inter-satellite ranging measurements acquired by the satellite gravimetry mission GRACE , 2012, Journal of Geodesy.

[6]  Frank Flechtner,et al.  What Can be Expected from the GRACE-FO Laser Ranging Interferometer for Earth Science Applications? , 2016, Surveys in Geophysics.

[7]  B. Chao,et al.  Caveats on the equivalent water thickness and surface mascon solutions derived from the GRACE satellite-observed time-variable gravity , 2016, Journal of Geodesy.

[8]  Srinivas Bettadpur,et al.  Precise accelerometry onboard the GRACE gravity field satellite mission , 2008 .

[9]  Eric Rignot,et al.  Sustained increase in ice discharge from the Amundsen Sea Embayment, West Antarctica, from 1973 to 2013 , 2014, Geophysical Research Letters.

[10]  Xianglin Liu,et al.  Estimation of mass change trends in the Earth’s system on the basis of GRACE satellite data, with application to Greenland , 2012, Journal of Geodesy.

[11]  D. Chambers,et al.  GRACE, time-varying gravity, Earth system dynamics and climate change , 2014, Reports on progress in physics. Physical Society.

[12]  B. Chao,et al.  Snow load effect on the Earth's rotation and gravitational field, 1979–1985 , 1987 .

[13]  J. Kusche,et al.  Comparisons of atmospheric data and reduction methods for the analysis of satellite gravimetry observations , 2013 .

[14]  R. Dietrich,et al.  Assessing the Current Evolution of the Greenland Ice Sheet by Means of Satellite and Ground-Based Observations , 2014, Surveys in Geophysics.