Mon Dec 15, F. Flechtner
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Park, Taejun, Seo, Ki Weon, Ryu, Dongryeol, Kim, Jae Seung, Lee, Daeha, Chen, Jianli, and Wilson, Clark R., 2025. Groundwater Storage Changes Using GRACE and ESA CCI Soil Moisture Products in Southern Victoria, Australia. Water Resources Research, 61(10):e2024WR039346, doi:10.1029/2024WR039346.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025WRR....6139346P,
author = {{Park}, Taejun and {Seo}, Ki Weon and {Ryu}, Dongryeol and {Kim}, Jae Seung and {Lee}, Daeha and {Chen}, Jianli and {Wilson}, Clark R.},
title = "{Groundwater Storage Changes Using GRACE and ESA CCI Soil Moisture Products in Southern Victoria, Australia}",
journal = {Water Resources Research},
keywords = {groundwater, remote sensing, soil moisture, GRACE, ESA CCI},
year = 2025,
month = oct,
volume = {61},
number = {10},
eid = {e2024WR039346},
pages = {e2024WR039346},
abstract = "{Groundwater depletion, driven by climate change and increasing
extraction for irrigation, has increased the need for accurate
monitoring. Traditional methods, such as in situ water table
observations and pumping tests, are valuable for assessing
groundwater availability and aquifer characteristics but are
limited in capturing basin scale variations. The Gravity
Recovery and Climate Experiment (GRACE) enables estimation of
basin scale groundwater changes, though its observations also
include surface water and soil moisture (SM) in the vadose zone.
Therefore, additional data on non groundwater components are
needed to isolate groundwater variations. In this study, we use
the profile SM content for the top 0─120 cm of soil as an
estimate of vadose zone SM, derived using an exponential
filtering technique applied to European Space Agency's Climate
Change Initiative for Soil Moisture (ESA CCI SM) and in situ
data. This approach addresses limitations of conventional
models, such as their inability to represent non natural or
lateral water redistribution. Groundwater storage (GWS) changes
in southern Victoria, Australia were estimated by subtracting
the filtered SM from GRACE data and validated against in situ
groundwater level observations for both unconfined and confined
aquifers. The ESA CCI SM based estimates showed clear
improvements in capturing seasonal and interannual variability
of in situ GWS compared to conventional model based estimates.
The proposed approach is potentially applicable to GWS
estimation at continental scales.}",
doi = {10.1029/2024WR039346},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025WRR....6139346P},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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