Fri Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Shi, Zhuoya, Wang, Zemin, Zhang, Baojun, Luo, Manman, Wu, Shuang, An, Jiachun, Wu, Haojian, and Zhou, Chunxia, 2026. High Spatial Resolution of GRACE–Derived Ice Mass Change Reveals Glacier–Scale Mass Loss in Greenland Ice Sheet. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 19:6780–6791, doi:10.1109/JSTARS.2026.3660280.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026IJSTA..19.6780S,
author = {{Shi}, Zhuoya and {Wang}, Zemin and {Zhang}, Baojun and {Luo}, Manman and {Wu}, Shuang and {An}, Jiachun and {Wu}, Haojian and {Zhou}, Chunxia},
title = "{High Spatial Resolution of GRACE-Derived Ice Mass Change Reveals Glacier-Scale Mass Loss in Greenland Ice Sheet}",
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
keywords = {Downscaling, geographically weighted regression (GWR), Greenland blocking (GB), Greenland ice sheet (GrIS), random forest (RF)},
year = 2026,
month = jan,
volume = {19},
pages = {6780-6791},
abstract = "{The gravity recovery and climate experiment (GRACE) and its follower
GRACE-Follow On (GRACE-FO) act as a reliable tool to detect the
Earths surface mass change. However, its discontinuity between
GRACE and GRACE-FO limits its applicability for long-term
analysis. Its coarse spatial resolution (300 km) of GRACE and
GRACE-FO (GRACE/GFO) hampers detailed understanding of ice mass
change response mechanisms to climate change at spatial scales
below 200 000 km$^{2}$. In addition, research works in
downscaling GRACE-derived ice mass change in the Greenland ice
sheet (GrIS) remains limited. Based on the continuous
reconstructed GRACE/GFO data, we first compared the performance
of geographically weighted regression (GWR) and random forest
(RF) to downscale GRACE/GFO from 0.25 0.25 to 5 km 5 km at a
spatial global scale (SGS) in GrIS. This study presents the
first application of such high-resolution downscaling to the
reconstructed GRACE/GFO results over the GrIS. Finally, the SGS-
GWR outperformed SGS-RF in capturing reasonable and finer
signals of ice mass change. And downscaled results from SGS-GWR
fit well with original GRACE/GFO mascon solutions and other
independent estimates, achieving mean correlation coefficients
and mean root mean square error at 0.98/2.68 cm by considering
the nonstationarity heterogeneity of variables. Based on the
continuous and high-resolution ice mass change, glacier-scale
analysis of climatic forcing mechanisms, such as Greenland
Blocking through its modulation of runoff, snowfall, rainfall,
and solid ice discharge in 2012 and 2019, represents a novel
contribution.}",
doi = {10.1109/JSTARS.2026.3660280},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026IJSTA..19.6780S},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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Fri Apr 10, F. Flechtner