Mon Oct 13, F. Flechtner
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Kalu, Ikechukwu, Ndehedehe, Christopher E., Ferreira, Vagner G., Janardhanan, Sreekanth, Currell, Matthew, and Kennard, Mark J., 2024. Statistical downscaling of GRACE terrestrial water storage changes based on the Australian Water Outlook model. Scientific Reports, 14:10113, doi:10.1038/s41598-024-60366-2.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024NatSR..1410113K,
author = {{Kalu}, Ikechukwu and {Ndehedehe}, Christopher E. and {Ferreira}, Vagner G. and {Janardhanan}, Sreekanth and {Currell}, Matthew and {Kennard}, Mark J.},
title = "{Statistical downscaling of GRACE terrestrial water storage changes based on the Australian Water Outlook model}",
journal = {Scientific Reports},
year = 2024,
month = may,
volume = {14},
eid = {10113},
pages = {10113},
abstract = "{The coarse spatial resolution of the Gravity Recovery and Climate
Experiment (GRACE) dataset has limited its application in local
water resource management and accounting. Despite efforts to
improve GRACE spatial resolution, achieving high resolution
downscaled grids that correspond to local hydrological behaviour
and patterns is still limited. To overcome this issue, we
propose a novel statistical downscaling approach to improve the
spatial resolution of GRACE-terrestrial water storage changes
({\ensuremath{\Delta}}TWS) using precipitation,
evapotranspiration (ET), and runoff data from the Australian
Water Outlook. These water budget components drive changes in
the GRACE water column in much of the global land area. Here,
the GRACE dataset is downscaled from the original resolution of
1.0{\textdegree} {\texttimes} 1.0{\textdegree} to
0.05{\textdegree} {\texttimes} 0.05{\textdegree} over a large
hydro-geologic basin in northern Australia (the Cambrian
Limestone Aquifer{\textemdash}CLA), capturing sub- grid
heterogeneity in {\ensuremath{\Delta}}TWS of the region. The
downscaled results are validated using data from 12 in-situ
groundwater monitoring stations and water budget estimates of
the CLAs land water storage changes from April 2002 to June
2017. The change in water storage over time (ds/dt) estimated
from the water budget model was weakly correlated (r = 0.34)
with the downscaled GRACE {\ensuremath{\Delta}}TWS. The weak
relationship was attributed to the possible uncertainties
inherent in the ET datasets used in the water budget,
particularly during the summer months. Our proposed methodology
provides an opportunity to improve freshwater reporting using
GRACE and enhances the feasibility of downscaling efforts for
other hydrological data to strengthen local-scale applications.}",
doi = {10.1038/s41598-024-60366-2},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024NatSR..1410113K},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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