Hydrological deformation induced by the West African Monsoon: Comparison of GPS, GRACE and loading models

Three-dimensional ground deformation measured with permanent GPS stations in West Africa was used for investigating the hydrological loading deformation associated with Monsoon precipitation. The GPS data were processed within a global network for the 2003–2008 period. Weekly station positions were retrieved with a repeatability (including unmodeled loading effects) of 1–2 mm in the horizontal components and between 2.5 and 6 mm in the vertical component. The annual signal in the vertical component for sites located between 9.6N and 16.7N is in the range 10–15 mm. It is consistent at the 3 mm-level with the annual regional-scale loading deformations estimated from GRACE satellite products and modeled with a combination of hydrological, atmospheric, and nontidal oceanic models. An additional 6 month transient signal was detected in the vertical component of GPS estimates at most of the West African sites. It takes the form of an oscillation occurring between September and March, and reaching a maximum amplitude of 12–16 mm at Ouagadougou (12.5N). The analysis of in situ hydro-geological data revealed a strong coincidence between this transient signal and peak river discharge at three sites located along the Niger River (Timbuktu, Gao, and Niamey). At Ouagadougou, a similar coincidence was found with the seasonal variations of the water table depth. We propose a mechanism to account for this signal that involves a sequence of swelling/shrinking of clays combined with local loading effects associated with flooding of the Niger River.

[1]  David LaVallee,et al.  Higher‐order ionospheric effects on the GPS reference frame and velocities , 2009 .

[2]  Victor Zlotnicki,et al.  Time‐variable gravity from GRACE: First results , 2004 .

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

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

[5]  Andreas Güntner,et al.  Improvement of Global Hydrological Models Using GRACE Data , 2008 .

[6]  H. B. Seed,et al.  Prediction of Swelling Potential for Compacted Clays , 1962 .

[7]  Peter Steigenberger,et al.  Generation of a consistent absolute phase-center correction model for GPS receiver and satellite antennas , 2007 .

[8]  Simon D. P. Williams,et al.  Non‐tidal ocean loading effects on geodetic GPS heights , 2011 .

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

[10]  Y. Bock,et al.  Anatomy of apparent seasonal variations from GPS‐derived site position time series , 2001 .

[11]  Fred F. Pollitz,et al.  Upper mantle rheology from GRACE and GPS postseismic deformation after the 2004 Sumatra‐Andaman earthquake , 2010 .

[12]  Samuel Nahmani,et al.  West African Monsoon observed with ground-based GPS receivers during African Monsoon Multidisciplinary Analysis (AMMA) , 2008 .

[13]  Peter J. Clarke,et al.  Choice of optimal averaging radii for temporal GRACE gravity solutions, a comparison with GPS and satellite altimetry , 2006 .

[14]  J. Willebrand,et al.  African Monsoon Multidisciplinary Analysis ( AMMA ) : An International Research Project and Field Campaign , 2022 .

[15]  M. Hernández‐Pajares,et al.  Second-order ionospheric term in GPS : Implementation and impact on geodetic estimates , 2007 .

[16]  Florent Lyard,et al.  Modeling the barotropic response of the global ocean to atmospheric wind and pressure forcing ‐ comparisons with observations , 2003 .

[17]  Zuheir Altamimi,et al.  Strategies to mitigate aliasing of loading signals while estimating GPS frame parameters , 2011, Journal of Geodesy.

[18]  M. Bouin,et al.  Correlated errors in GPS position time series: Implications for velocity estimates , 2011 .

[19]  T. P. Yunck,et al.  Origin of the International Terrestrial Reference Frame , 2003 .

[20]  T. Lebel,et al.  Hydrology of the HAPEX-Sahel Central Super-Site: surface water drainage and aquifer recharge through the pool systems , 1997 .

[21]  Z. Altamimi,et al.  ITRF2005 : A new release of the International Terrestrial Reference Frame based on time series of station positions and Earth Orientation Parameters , 2007 .

[22]  Svetozar Petrovic,et al.  Periodic components of water storage changes from GRACE and global hydrology models: PERIODIC WATER STORAGE CHANGES AND GRACE , 2008 .

[23]  Paul Tregoning,et al.  Correction to “Atmospheric effects and spurious signals in GPS analyses” , 2011 .

[24]  O. Bock,et al.  Land Water Storage Changes from Ground and Space Geodesy: First Results from the GHYRAF (Gravity and Hydrology in Africa) Experiment , 2012, Pure and Applied Geophysics.

[25]  S. Bettadpur,et al.  Modeling Earth deformation from monsoonal flooding in Bangladesh using hydrographic, GPS, and Gravity Recovery and Climate Experiment (GRACE) data , 2010 .

[26]  Mike P. Stewart,et al.  GPS height time series: Short‐period origins of spurious long‐period signals , 2007 .

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

[28]  James L. Davis,et al.  Land water storage within the Congo Basin inferred from GRACE satellite gravity data , 2006 .

[29]  Catherine Ottlé,et al.  Land water storage variability over West Africa estimated by Gravity Recovery and Climate Experiment (GRACE) and land surface models , 2011 .

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

[31]  Peter J. Clarke,et al.  Subdaily signals in GPS observations and their effect at semiannual and annual periods , 2008 .

[32]  Frédéric Frappart,et al.  Time variations of land water storage from an inversion of 2 years of GRACE geoids , 2005 .

[33]  Y. Xue,et al.  Modeling of land surface evaporation by four schemes and comparison with FIFE observations , 1996 .

[34]  P. Ackerer,et al.  Bilan des transferts verticaux d'eau en zone non-saturée sous climat soudano-sahélien: application à l'estimation de la recharge des nappes , 1995 .

[35]  J. Janowiak,et al.  The Global Precipitation Climatology Project (GPCP) combined precipitation dataset , 1997 .

[36]  T. Oki,et al.  Movement of Amazon surface water from time‐variable satellite gravity measurements and implications for water cycle parameters in land surface models , 2010 .

[37]  J. Kouba Implementation and testing of the gridded Vienna Mapping Function 1 (VMF1) , 2008 .

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

[39]  Niall P. Hanan,et al.  AMMA-CATCH studies in the Sahelian region of West-Africa: an overview , 2009 .

[40]  F. Guichard,et al.  West African Monsoon water cycle: 2. Assessment of numerical weather prediction water budgets , 2010 .

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

[42]  H. Munekane Ocean mass variations from GRACE and tsunami gauges , 2007 .

[43]  Matt A. King,et al.  Long GPS coordinate time series: Multipath and geometry effects , 2009 .

[44]  Catherine Ottlé,et al.  The AMMA Land Surface Model Intercomparison Project (ALMIP) , 2007 .

[45]  J. Thepaut,et al.  The ERA‐Interim reanalysis: configuration and performance of the data assimilation system , 2011 .

[46]  J. Lemoine,et al.  The GHYRAF (Gravity and Hydrology in Africa) experiment: Description and first results , 2009 .

[47]  J. D. Tarpley,et al.  Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model , 2003 .

[48]  Mike P. Stewart,et al.  Aliased tidal signatures in continuous GPS height time series , 2003 .

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

[50]  Jürgen Kusche,et al.  Surface mass redistribution inversion from global GPS deformation and Gravity Recovery and Climate Experiment (GRACE) gravity data , 2005 .

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

[52]  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 .

[53]  F. Guichard,et al.  West African Monsoon water cycle: 1. A hybrid water budget data set , 2010 .

[54]  Xavier Collilieux,et al.  IGS contribution to the ITRF , 2009 .

[55]  S. Massuel,et al.  Land clearing, climate variability, and water resources increase in semiarid southwest Niger: A review , 2009 .

[56]  James L. Davis,et al.  Annual variations in water storage and precipitation in the Amazon Basin , 2008 .

[57]  M. Zhong,et al.  Contributions of thermal expansion of monuments and nearby bedrock to observed GPS height changes , 2009 .

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

[59]  O. Francis,et al.  Modelling the global ocean tides: modern insights from FES2004 , 2006 .

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

[61]  L. Metivier,et al.  A new approach to computing accurate gravity time variations for a realistic earth model with lateral heterogeneities , 2005 .

[62]  T. van Dam,et al.  Effects of atmospheric pressure loading and seven-parameter transformations on estimates of geocenter motion and station heights from space geodetic observations , 2005 .

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

[64]  C. Thorncroft,et al.  African Monsoon Multidisciplinary Analysis: An International Research Project and Field Campaign , 2006 .

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

[66]  Braja M. Das,et al.  Introduction to Geotechnical Engineering , 1985 .

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

[68]  Peter Steigenberger,et al.  Evaluation of the impact of atmospheric pressure loading modeling on GNSS data analysis , 2011 .

[69]  Alec Westley Skempton,et al.  The Colloidal “Activity” of Clays , 1984 .

[70]  J. Janowiak,et al.  GPCP Pentad Precipitation analyses: An experimental dataset based on gauge observations and satellite estimates , 2003 .

[71]  Guillaume Favreau,et al.  Origins of streamflow in a crystalline basement catchment in a sub-humid Sudanian zone: The Donga basin (Benin, West Africa): Inter-annual variability of water budget , 2011 .

[72]  Petra Döll,et al.  GRACE observations of changes in continental water storage , 2006 .

[73]  Franz Barthelmes,et al.  Determination of dominant periodic components of water storage changes from GRACE and global hydrology models , 2007 .

[74]  Chris Rizos,et al.  The International GNSS Service in a changing landscape of Global Navigation Satellite Systems , 2009 .

[75]  Xavier Collilieux,et al.  Quality assessment of GPS reprocessed terrestrial reference frame , 2011 .

[76]  Y. Tardy Petrology of laterites and tropical soils. , 1997 .

[77]  Jacques Pelon,et al.  Seasonal evolution of the West African heat low: a climatological perspective , 2009 .

[78]  Improved GPS Data Analysis Strategy for Tide Gauge Benchmark Monitoring , 2012 .

[79]  Guillaume Favreau,et al.  Spatio-temporal variability of hydrological regimes around the boundaries between Sahelian and Sudanian areas of West Africa: A synthesis , 2009 .

[80]  J. Famiglietti,et al.  Global terrestrial water storage capacity and flood potential using GRACE , 2009 .

[81]  J. Ray,et al.  Anomalous harmonics in the spectra of GPS position estimates , 2008 .

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