• Sorted by Date • Sorted by Last Name of First Author •
Getirana, Augusto, Kumar, Sujay, and Rodell, Matthew, 2025. Inconsistencies in GRACE-Based Groundwater Storage Estimation—A Call for a Proper Use of Land Surface Models. Geophysical Research Letters, 52(19):e2025GL119197, doi:10.1029/2025GL119197.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025GeoRL..5219197G,
author = {{Getirana}, Augusto and {Kumar}, Sujay and {Rodell}, Matthew},
title = "{Inconsistencies in GRACE-Based Groundwater Storage Estimation{\textemdash}A Call for a Proper Use of Land Surface Models}",
journal = {\grl},
keywords = {groundwater, GRACE, terrestrial water storage, land surface model, water balance, GLDAS},
year = 2025,
month = oct,
volume = {52},
number = {19},
eid = {e2025GL119197},
pages = {e2025GL119197},
abstract = "{Estimating groundwater storage (GWS) anomalies by subtracting model-
derived components from Gravity Recovery and Climate Experiment
(GRACE) terrestrial water storage (TWS) anomalies is a common
practice in hydrology. Typically, land surface model (LSM)
simulated soil moisture (SM), snow water equivalent, and canopy
water content are removed from GRACE-derived TWS, and the
residual is interpreted as GWS. However, this method implicitly
assumes that LSMs account for all non-groundwater storages
within distinct, physically meaningful compartments. In this
comment, we examine the assumptions, semantic and structural
challenges embedded in this approach, suggesting that users
consider the consequences of model simplifications and
conventions on the results. We encourage careful interpretation
and advocate for more sophisticated methods, including making
use of data assimilation and models that represent physical
hydrological processes more completely.}",
doi = {10.1029/2025GL119197},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025GeoRL..5219197G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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