Mon Aug 24, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Li, Huixiang, Huang, Zhiyong, Zhang, Qingquan, Zhang, Chong, Ma, Yalin, Yang, Jiawen, Fourie, Fanus, and Pan, Yun, 2026. Reconciling model simulated and GRACE observed groundwater storage changes in Africa through coordinated forward modelling. Journal of Hydrology, 677:135856, doi:10.1016/j.jhydrol.2026.135856.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026JHyd..67735856L,
author = {{Li}, Huixiang and {Huang}, Zhiyong and {Zhang}, Qingquan and {Zhang}, Chong and {Ma}, Yalin and {Yang}, Jiawen and {Fourie}, Fanus and {Pan}, Yun},
title = "{Reconciling model simulated and GRACE observed groundwater storage changes in Africa through coordinated forward modelling}",
journal = {Journal of Hydrology},
keywords = {GRACE, Land surface model, Groundwater storage change, Coordinated forward modelling, Africa},
year = 2026,
month = sep,
volume = {677},
eid = {135856},
pages = {135856},
abstract = "{Large-scale groundwater storage (GWS) changes are commonly inferred from
either global hydrological/land surface models or Gravity
Recovery and Climate Experiment (GRACE) observations, but
systematic discrepancies between these approaches remain a major
source of uncertainty, particularly in data-scarce regions where
ground-truth is not available. Here, we apply a coordinated
forward modelling (CoFM) framework to reconcile GWS changes from
GRACE observations and global model simulations, to provide
observation-constrained and robust estimates in Africa. The
Catchment Land Surface Model (CLSM)-GRACE reconciled GWS changes
show consistent agreement with groundwater level records from
1,898 monitoring wells, with a regional mean correlation
coefficient of 0.72 and positive correlations for 95\% of the
wells at grid scale, revealing an increasing trend of 1.47
{\ensuremath{\pm}} 0.25 mm/yr over Africa during 2003--2020. The
reconciling significantly improves GRACE's ability in capturing
GWS changes at finer scales, while reduces discrepancies among
different model simulations. For example, despite of notable
differences in simulated GWS trends of Congo basin from CLSM
({\ensuremath{-}}6.21 mm/yr) and WaterGAP Global Hydrological
Model (0.21 mm/yr), the CoFM estimates (0.7 mm/yr and 2.7 mm/yr,
respectively) remain comparable to Mascon solution (2.4 mm/yr).
Thus, given the inherent limitations in GRACE resolution and
model uncertainty, this study provides a new observation-
constrained framework for robust GWS estimates at fine scales.}",
doi = {10.1016/j.jhydrol.2026.135856},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026JHyd..67735856L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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Mon Aug 24, F. Flechtner