Mon Aug 24, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Xu, Guodong, Chen, Jianli, Nie, Yufeng, Zheng, Shuo, and Li, Jing, 2026. Long–term and interannual variability of African terrestrial water storage revealed by GRACE/GRACE–FO and models. Journal of Hydrology, 677:135794, doi:10.1016/j.jhydrol.2026.135794.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026JHyd..67735794X,
author = {{Xu}, Guodong and {Chen}, Jianli and {Nie}, Yufeng and {Zheng}, Shuo and {Li}, Jing},
title = "{Long-term and interannual variability of African terrestrial water storage revealed by GRACE/GRACE-FO and models}",
journal = {Journal of Hydrology},
keywords = {Terrestrial water storage, Africa, GRACE/-FO, Water balance, EOF},
year = 2026,
month = sep,
volume = {677},
eid = {135794},
pages = {135794},
abstract = "{Climate change is intensifying the hydrologic cycle, and terrestrial
water storage (TWS) provides an integrated indicator of these
shifts. In this study, we analyzed long-term and interannual TWS
variations across Africa over April 2002-December 2024 using
GRACE/GRACE Follow-On (GRACE/-FO) satellite gravimetry, together
with land surface models (LSMs) and satellite altimetry derived
lake storage. GRACE/-FO revealed a continental TWS increase of
96.1 {\ensuremath{\pm}} 13.4 Gt yr$^{{\ensuremath{-}}1}$
(2{\ensuremath{\sigma}}), with an acceleration of 11.6
{\ensuremath{\pm}} 3.83 Gt yr$^{{\ensuremath{-}}2}$. Basin-scale
attribution exhibited that large lakes/reservoirs storage
increases largely contributed to the observed TWS gains, whereas
model predicted soil moisture showed a general declining trend,
likely indicating the limitations of LSMs in this region. The
long-term TWS increase was further quantitatively supported by a
rising water balance. Interannual variability was structured by
large-scale climate modes: El Ni{\~n}o-Southern Oscillation
(ENSO) and the Indian Ocean Dipole (IOD) paced continental and
tripole-like responses, respectively, as identified by empirical
orthogonal function (EOF) analysis. Our results elucidated new
observational constraints on the drivers of African TWS dynamics
and their responses to a changing climate.}",
doi = {10.1016/j.jhydrol.2026.135794},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026JHyd..67735794X},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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Mon Aug 24, F. Flechtner