Mon Oct 13, F. Flechtner
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Kalu, Ikechukwu, Ndehedehe, Christopher E., Ferreira, Vagner G., Janardhanan, Sreekanth, Currell, Matthew, Crosbie, Russell S., and Kennard, Mark J., 2024. Remote Sensing Estimation of Shallow and Deep Aquifer Response to Precipitation-Based Recharge Through Downscaling. Water Resources Research, 60(12):2024WR037360, doi:10.1029/2024WR037360.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024WRR....6037360K,
author = {{Kalu}, Ikechukwu and {Ndehedehe}, Christopher E. and {Ferreira}, Vagner G. and {Janardhanan}, Sreekanth and {Currell}, Matthew and {Crosbie}, Russell S. and {Kennard}, Mark J.},
title = "{Remote Sensing Estimation of Shallow and Deep Aquifer Response to Precipitation-Based Recharge Through Downscaling}",
journal = {Water Resources Research},
keywords = {groundwater, downscaling, GRACE, Perth basin, Gnangara basin, recharge},
year = 2024,
month = dec,
volume = {60},
number = {12},
pages = {2024WR037360},
abstract = "{The Gnangara groundwater system is a highly productive water resource in
southwestern Australia. However, it is considered one of the
most vulnerable groundwater systems to climate change, due to
consistent declines in precipitation and recharge, and regional
climate models project further declines into the future. This
study introduces a new framework underpinned by machine learning
techniques to provide reliable estimates of precipitation-based
recharge over the whole Perth Basin (including the Gnangara
system). By combining estimates of baseflow, groundwater
evaporation, and extraction, groundwater recharge was estimated
over the Perth (testing site) and Gnangara (calibration site)
systems using downscaled Groundwater Storage Anomalies (GWSA)
from the Gravity Recovery and Climate Experiment (GRACE)
mission. The random forest regression (RFR) model was used to
downscale the spatial resolution of GRACE to 0.05{\textdegree}
(approx. 5 km), providing estimable signals over the relatively
small calibration site ({\ensuremath{\sim}}2,200 km$^{2}$) in
order to discern any meaningful signals from the original GRACE
resolution. Our study reveals that downscaled signals from GRACE
can be used to provide precipitation-based recharge estimates
for groundwater systems accurately. However, the growing impacts
of climate change, which has led to sporadic precipitation
patterns over Western Australia, can limit the efficiency of
satellite remote sensing methods in estimating recharge,
especially in deep and complex aquifers.}",
doi = {10.1029/2024WR037360},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024WRR....6037360K},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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