The quest for a consistent signal in ground and GRACE gravity time series

Recent studies show that terrestrial and space based observations of gravity agree overEurope. In this paper, we compare time series of terrestrial gravity (including thecontribution due to surface displacement) as measured by superconducting gravimeters(SGs), space based observations from GRACE, and predicted changes in gravity derived fromtwo global hydrological models at 10 SG stations in Central Europe. Despite the fact that allobservations and models observe a maximum in the same season due to water storagechanges, there is little agreement the SG time series even when they are separated bydistances smaller than the spatial resolution of GRACE. We also demonstrate that GRACE andthe SG observations and the water storage models do not display significant correlation atseasonal periods nor at inter-annual periods. These findings are consistent with the fact thatthe SGs are sensitive primarily to mass changes in the few hundred meters surrounding thestation. Even if the hydrological models were perfect, we show that we could not correct theSGs for these local effects that would allow comparisons with GRACE.

[1]  C. Förste,et al.  Comment on: ‘The quest for a consistent signal in ground and GRACE gravity time-series’, by Michel Van Camp, Olivier de Viron, Laurent Metivier, Bruno Meurers and Olivier Francis , 2014 .

[2]  Juliette Legrand,et al.  Assessing the precision in loading estimates by geodetic techniques in Southern Europe , 2013 .

[3]  Umberto Riccardi,et al.  The measurement of surface gravity , 2013, Reports on progress in physics. Physical Society.

[4]  J. Chéry,et al.  On the impact of topography and building mask on time varying gravity due to local hydrology , 2013 .

[5]  S. Petrovic,et al.  A comparison of GRACE-derived temporal gravity variations with observations of six European superconducting gravimeters , 2012 .

[6]  S. Petrovic,et al.  Tackling mass redistribution phenomena by time-dependent GRACE- and terrestrial gravity observations , 2012 .

[7]  J. Famiglietti,et al.  A comparison of the gravity field over Central Europe from superconducting gravimeters, GRACE and global hydrological models, using EOF analysis , 2012 .

[8]  Xavier Collilieux,et al.  Hydrological deformation induced by the West African Monsoon: Comparison of GPS, GRACE and loading models , 2012 .

[9]  Grzegorz Michalak,et al.  GFZ GRACE Level-2 Processing Standards Document for Level-2 Product Release 0005 , 2012 .

[10]  Peter Steigenberger,et al.  Vertical deformations from homogeneously processed GRACE and global GPS long-term series , 2011 .

[11]  B. Merz,et al.  Reducing local hydrology from high-precision gravity measurements: a lysimeter-based approach , 2010 .

[12]  Leos Mervart,et al.  The celestial mechanics approach: application to data of the GRACE mission , 2010 .

[13]  L. Metivier,et al.  Characterizing long‐time scale hydrological effects on gravity for improved distinction of tectonic signals , 2010 .

[14]  Nicolas Le Moigne,et al.  Time-lapse microgravity surveys reveal water storage heterogeneity of a karst aquifer , 2010 .

[15]  P. Krause,et al.  Evaluating local hydrological modelling by temporal gravity observations and a gravimetric three‐dimensional model , 2010 .

[16]  Qile Zhao,et al.  DEOS Mass Transport model (DMT-1) based on GRACE satellite data: methodology and validation , 2010 .

[17]  N. G. Val’es,et al.  CNES/GRGS 10-day gravity field models (release 2) and their evaluation , 2010 .

[18]  S. Eisner,et al.  Evaluating local hydrological modelling by temporal gravity observations and a gravimetric 3D model , 2010 .

[19]  O. Francis,et al.  Hydrological effects on gravity and correlations between gravitational variations and level of the Alzette River at the station of Walferdange, Luxembourg , 2010 .

[20]  J. Ihde,et al.  Gravity field variations from superconducting gravimeters for GRACE validation , 2009 .

[21]  L. Longuevergne,et al.  Local and global hydrological contributions to gravity variations observed in Strasbourg , 2009 .

[22]  Paul Tregoning,et al.  Atmospheric effects and spurious signals in GPS analyses , 2009 .

[23]  A. Eicker,et al.  Deriving daily snapshots of the Earth's gravity field from GRACE L1B data using Kalman filtering , 2009 .

[24]  L. Mervart,et al.  Gravity Field Determination at the AIUB – The Celestial Mechanics Approach , 2009 .

[25]  T. Klügel,et al.  Simulating the influence of water storage changes on the superconducting gravimeter of the Geodetic Observatory Wettzell, Germany , 2008 .

[26]  Guillaume Ramillien,et al.  Detection of Continental Hydrology and Glaciology Signals from GRACE: A Review , 2008 .

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

[28]  S. Petrovic,et al.  Analysis of gravity field variations derived from Superconducting Gravimeter recordings, the GRACE satellite and hydrological models at selected European sites , 2008 .

[29]  O. Francis,et al.  Is the instrumental drift of superconducting gravimeters a linear or exponential function of time? , 2007 .

[30]  J. Wahr,et al.  A comparison of annual vertical crustal displacements from GPS and Gravity Recovery and Climate Experiment (GRACE) over Europe , 2007 .

[31]  M. Camp,et al.  Correcting superconducting gravity time-series using rainfall modelling at the Vienna and Membach stations and application to Earth tide analysis , 2007 .

[32]  J. Hinderer,et al.  Gravimetric Methods – Superconducting Gravity Meters , 2007 .

[33]  M. Vanclooster,et al.  Hydrogeological investigations at the Membach station, Belgium, and application to correct long periodic gravity variations , 2006 .

[34]  F. Pollitz A New Class of Earthquake Observations , 2006, Science.

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

[36]  C. Reigber,et al.  Combination of temporal gravity variations resulting from superconducting gravimeter (SG) recordings, GRACE satellite observations and global hydrology models , 2006 .

[37]  J. Boy,et al.  Study of the seasonal gravity signal in superconducting gravimeter data , 2006 .

[38]  A. Sterl,et al.  The ERA‐40 re‐analysis , 2005 .

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

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

[41]  J. Boy,et al.  Reduction of surface gravity data from global atmospheric pressure loading , 2002 .

[42]  Michael Ghil,et al.  ADVANCED SPECTRAL METHODS FOR CLIMATIC TIME SERIES , 2002 .

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

[44]  H. Storch,et al.  Statistical Analysis in Climate Research , 2000 .

[45]  H.-G. Wenzel,et al.  The nanogal software : Earth tide data processing package ETERNA 3.30 , 1996 .

[46]  D. Hartmann,et al.  Intraseasonal Periodicities in Indian Rainfall , 1989 .

[47]  R. Preisendorfer,et al.  Principal Component Analysis in Meteorology and Oceanography , 1988 .

[48]  John M. Wahr,et al.  Deformation induced by polar motion , 1985 .

[49]  D. L. Anderson,et al.  Preliminary reference earth model , 1981 .

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

[51]  L. B. Slichter,et al.  THE FUNDAMENTAL FREE MODE OF THE EARTH'S INNER. , 1961, Proceedings of the National Academy of Sciences of the United States of America.