Continental hydrology loading observed by VLBI measurements

Variations in continental water storage lead to loading deformation of the crust with typical peak-to-peak variations at very long baseline interferometry (VLBI) sites of 3–15 mm in the vertical component and 1–2 mm in the horizontal component. The hydrology signal at VLBI sites has annual and semi-annual components and clear interannual variations. We have calculated the hydrology loading series using mass loading distributions derived from the global land data assimilation system (GLDAS) hydrology model and alternatively from a global grid of equal-area gravity recovery and climate experiment (GRACE) mascons. In the analysis of the two weekly VLBI 24-h R1 and R4 network sessions from 2003 to 2010 the baseline length repeatabilities are reduced in 79 % (80 %) of baselines when GLDAS (GRACE) loading corrections are applied. Site vertical coordinate repeatabilities are reduced in about 80 % of the sites when either GLDAS or GRACE loading is used. In the horizontal components, reduction occurs in 70–80 % of the sites. Estimates of the annual site vertical amplitudes were reduced for 16 out of 18 sites if either loading series was applied. We estimated loading admittance factors for each site and found that the average admittances were 1.01 $$\pm $$± 0.05 for GRACE and 1.39 $$\pm $$± 0.07 for GLDAS. The standard deviations of the GRACE admittances and GLDAS admittances were 0.31 and 0.68, respectively. For sites that have been observed in a set of sufficiently temporally dense daily sessions, the average correlation between VLBI vertical monthly averaged series and GLDAS or GRACE loading series was 0.47 and 0.43, respectively.

[1]  D. S. MacMillan,et al.  Atmospheric pressure loading parameters from very long baseline interferometry observations , 1994 .

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

[3]  Guillaume Ramillien,et al.  Detecting hydrologic deformation using GRACE and GPS , 2009 .

[4]  Thomas A. Herring,et al.  Detection of atmospheric pressure loading using very long baseline interferometry measurements , 1994 .

[5]  M. Heflin,et al.  Atmospheric pressure loading effects on Global Positioning System coordinate determinations , 1994 .

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

[7]  F. LeMoine,et al.  Resolving mass flux at high spatial and temporal resolution using GRACE intersatellite measurements , 2005 .

[8]  J. Camp,et al.  Antarctica, Greenland and Gulf of Alaska land-ice evolution from an iterated GRACE global mascon solution , 2013, Journal of Glaciology.

[9]  Pedro Elosegui,et al.  Climate‐driven deformation of the solid Earth from GRACE and GPS , 2004 .

[10]  Harald Schuh,et al.  Atmospheric loading corrections at the observation level in VLBI analysis , 2009 .

[11]  T. Meyers,et al.  Sensitivity of Land Surface Simulations to Model Physics, Land Characteristics, and Forcings, at Four CEOP Sites , 2007 .

[12]  Axel Nothnagel,et al.  Conventions on thermal expansion modelling of radio telescopes for geodetic and astrometric VLBI , 2009 .

[13]  H. Schuh,et al.  Investigation of Hydrological and Atmospheric Loading by Space Geodetic Techniques , 2003 .

[14]  Guillaume Ramillien,et al.  Glacial isostatic adjustment and nonstationary signals observed by GRACE , 2009 .

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

[16]  Geoffrey Blewitt,et al.  Crustal displacements due to continental water loading , 2001 .

[17]  Matthew Rodell,et al.  Analysis of terrestrial water storage changes from GRACE and GLDAS , 2008 .

[18]  P. Milly,et al.  Global Modeling of Land Water and Energy Balances. Part I: The Land Dynamics (LaD) Model , 2002 .

[19]  Leonid Petrov,et al.  Study of the atmospheric pressure loading signal in very long baseline interferometry observations , 2003, physics/0311096.

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

[21]  Scott B. Luthcke,et al.  Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation , 2010 .

[22]  H. Schuh,et al.  Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium‐Range Weather Forecasts operational analysis data , 2006 .

[23]  D. Lettenmaier,et al.  A simple hydrologically based model of land surface water and energy fluxes for general circulation models , 1994 .

[24]  Thomas A. Clark,et al.  Measurement of horizontal motions in Alaska using very long baseline interferometry , 1990 .