Thu Aug 14, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Mielke, Christian A., Karegar, Makan A., Gerdener, Helena, and Kusche, Jürgen, 2025. GNSS Observations of the Land Uplift in South Africa: Implications for Water Mass Loss. Journal of Geophysical Research (Solid Earth), 130(4):e2024JB030350, doi:10.1029/2024JB030350.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025JGRB..13030350M,
author = {{Mielke}, Christian A. and {Karegar}, Makan A. and {Gerdener}, Helena and {Kusche}, J{\"u}rgen},
title = "{GNSS Observations of the Land Uplift in South Africa: Implications for Water Mass Loss}",
journal = {Journal of Geophysical Research (Solid Earth)},
keywords = {South Africa, GPS, GNSS, surface mass loading, singular spectrum analysis, drought},
year = 2025,
month = apr,
volume = {130},
number = {4},
eid = {e2024JB030350},
pages = {e2024JB030350},
abstract = "{Continuously operating Global Navigation Satellite System (GNSS) base
stations in South Africa show a spatially coherent vertical
displacement. While one hypothesis attributes this vertical
motion to crustal deformation from mantle flow and dynamic
topography (Hammond et al., 2021,
https://doi.org/10.1029/2021jb022355), we propose an alternative
explanation. Our evidence suggests that land water loss from
multiple droughts is a major driver of the observed uplift. In
this study, we analyze daily Global Positioning System (GPS)
height time series from 2000 to 2021. We use singular spectral
analysis (SSA) to separate long-term trends and annual and semi-
annual signals from noise. The processed time series were
inverted into water mass loading on a uniform grid, with the
Earth's crust's rheological properties defined by the
Preliminary Reference Earth Model (PREM). Our experimental
approach show that a 2${}^{\circ}\times $ 2${}^{\circ}$ grid
resolution provides suitable results for most of South Africa.
The GPS-derived total water storage change reconcile well with a
GRACE-assimilated solution and a hydrological model at the
monthly scale across different provinces, showing correlations
of up to 90\% and 94\%, respectively. The long-term trend
averaged over the country shows a considerable correlation of
46\% and 53\%, respectively. These long-term total water storage
trends provide strong evidence that the observed land uplift in
South Africa is primarily of hydrological origin.}",
doi = {10.1029/2024JB030350},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025JGRB..13030350M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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