On the postprocessing removal of correlated errors in GRACE temporal gravity field solutions

We revisit the empirical moving window filtering method of Swenson and Wahr (Geophys Res Lett 33:L08402, 2006) and its variants, Chambers (Geophys Res Lett 33:L17603, 2006) and Chen et al. (Geophys Res Lett 34: L13302, 2007), for reducing the correlated errors in the Stokes coefficients (SCs) of the spherical harmonic expansion of the GRACE determined monthly geopotential solutions. Based on a comparison of the three published approaches mentioned, we propose a refined approach for choosing parameters of the decorrelation filter. Our approach is based on the error pattern of the SCs in the monthly GRACE geopotential solutions. We keep a portion of the lower degree-order SCs with the smallest errors unchanged, and high-pass filter the rest using a moving window technique, with window width decreasing as the error of the SCs increases. Both the unchanged portion of SCs and the window width conform with the error pattern, and are adjustable with a parameter. Compared to the three published approaches mentioned, our unchanged portion of SCs and window width depend on both degree and order in a more complex way. We have used the trend of mass change to test various parameters toward a preferred choice for a global compromise between the removal of the correlated errors and the minimization of signal distortion.

[1]  C. Jekeli Alternative methods to smooth the Earth's gravity field , 1981 .

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

[3]  Yuebing Li,et al.  Green's function of the deformation of the Earth as a result of atmospheric loading , 2004 .

[4]  W. Peltier GLOBAL GLACIAL ISOSTASY AND THE SURFACE OF THE ICE-AGE EARTH: The ICE-5G (VM2) Model and GRACE , 2004 .

[5]  Jeffrey P. Walker,et al.  THE GLOBAL LAND DATA ASSIMILATION SYSTEM , 2004 .

[6]  C. Shum,et al.  Non-isotropic filtering of GRACE temporal gravity for geophysical signal enhancement , 2005 .

[7]  D. Chambers Evaluation of new GRACE time‐variable gravity data over the ocean , 2006 .

[8]  S. Swenson,et al.  Post‐processing removal of correlated errors in GRACE data , 2006 .

[9]  Ki-Weon Seo,et al.  Optimized smoothing of Gravity Recovery and Climate Experiment (GRACE) time‐variable gravity observations , 2006 .

[10]  J. Kusche Approximate decorrelation and non-isotropic smoothing of time-variable GRACE-type gravity field models , 2007 .

[11]  Ernst J. O. Schrama,et al.  Signal and noise in Gravity Recovery and Climate Experiment (GRACE) observed surface mass variations , 2007 .

[12]  Maik Thomas,et al.  Simulation and observation of global ocean mass anomalies , 2007 .

[13]  M. Tamisiea,et al.  GRACE Gravity Data Constrain Ancient Ice Geometries and Continental Dynamics over Laurentia , 2007, Science.

[14]  Byron D. Tapley,et al.  GRACE detects coseismic and postseismic deformation from the Sumatra‐Andaman earthquake , 2007 .

[15]  E. Schrama,et al.  Improved accuracy of GRACE gravity solutions through empirical orthogonal function filtering of spherical harmonics , 2007 .

[16]  M. Tamisiea,et al.  A statistical filtering approach for Gravity Recovery and Climate Experiment (GRACE) gravity data , 2008 .

[17]  Hubert H. G. Savenije,et al.  The design of an optimal filter for monthly GRACE gravity models , 2008 .

[18]  C. Shum,et al.  Non-isotropic Gaussian smoothing and leakage reduction for determining mass changes over land and ocean using GRACE data , 2010 .