EGU General Assembly 2022
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the Creative Commons Attribution 4.0 License.

Surface loading on GNSS stations in Africa

Saturday Ehisemhen Usifoh, T.Nhung Le, Benjamin Männel, Pierre Sakic, Dodo Joseph, and Harald Schuh
Saturday Ehisemhen Usifoh et al.
  • German Research Center for Geosciences (GFZ), Space Geodetic Techniques, Potsdam, Germany (

Surface loading on GNSS stations in Africa

Usifoh Saturday E1,2,3, Nhung Le Thi1,2, Benjamin Männel1, Pierre Sakic1, Dodo Joseph3, Harald Schuh1,2
1GFZ German Research Centre for Geosciences, Potsdam, Germany, 2Institut für Geodäsie und Geoinformationstechnik Technische Universität, Berlin, Germany, 3Centre for Geodesy and Geodynamics, Toro, Bauchi State, Nigeria.

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The global navigation satellite systems (GNSS) have revolutionalized the ability to monitor the Earth’s system related to different types of natural processes. This includes tectonic and volcanic deformation, earthquake-related displacements, redistribution of oceanic and atmospheric mass, and changes in the continental water storage. As loading affects the GNSS cordinates, we investigated the effect and assessed the impact of applying dedicated corrections provided by the Earth System Modeling group of German Research Center for Geosciences (GFZ). However, loading caused by mass redistribution results in displacement, predominantly with seasonal periods. Significant temporal changes in mass redistribution (e.g caused by climate change) will result to further trends in the station coordinate time series.

In this contribution, we will compare the PPP coordinate time series with the loading-corrected PPP time series by looking at the amplitude and the correlation between the GNSS time series and the model corrections. Also we will compare the PPP coordinate time series with the loading time series by assessing the RMS reduction and change of amplitude.The result shows that loading-induced displacement varies considerably among GNSS stations and applying corrections to the derived time series has favourable impacts on the reduction in the non-linear motion in GNSS height time series of the African stations.

How to cite: Usifoh, S. E., Le, T. N., Männel, B., Sakic, P., Joseph, D., and Schuh, H.: Surface loading on GNSS stations in Africa, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-64,, 2022.


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