Thu Apr 10, F. Flechtner
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Xie, Yang, Wang, Linsong, Bevis, Michael, Khan, Shfaqat A., and Peng, Zhenran, 2025. Joint inversion of GNSS and GRACE data for ice mass loads in Greenland. Earth and Planetary Science Letters, 658:119329, doi:10.1016/j.epsl.2025.119329.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025EPSL.65819329X,
author = {{Xie}, Yang and {Wang}, Linsong and {Bevis}, Michael and {Khan}, Shfaqat A. and {Peng}, Zhenran},
title = "{Joint inversion of GNSS and GRACE data for ice mass loads in Greenland}",
journal = {Earth and Planetary Science Letters},
keywords = {Greenland ice sheet, Joint inversion, GRACE, GNSS, Mass loads},
year = 2025,
month = may,
volume = {658},
eid = {119329},
pages = {119329},
abstract = "{Rapid melting of the Greenland Ice Sheet (GrIS) in response to global
warming has been a major contributor to global sea level rise in
the last 20 years. The ability of the Gravity Recovery and
Climate Experiment (GRACE) to estimate GrIS mass changes is
limited by its coarse ({\ensuremath{\sim}}330 {\texttimes} 330
km$^{2}$) spatial resolution. The Greenland Geodetic Network
(GNET) senses the solid Earth's elastic responses to changing
ice mass loads, as well as glacial isostatic adjustment (GIA).
The GNET stations are sensitive to local ice mass changes at the
scale of tens of kilometers, but have poor spatial coverage
compared to GRACE, since all bedrock Global Navigation Satellite
System (GNSS) stations are located near the margins of the GrIS.
GRACE gravity observations and GNSS measurements of crustal
displacement provide complementary constraints on GrIS mass
changes. Here, we exploit this complementarity, by developing a
joint inversion method that combines the norms of gradients and
makes judicious use of the l-curve to estimate GrIS mass changes
at 0.25{\textdegree}- grids. We modify the Laplacian operator,
commonly used in previous studies, to make it suitable for the
irregular inversion area and to avoid unrealistic inversion
results at the land-sea boundary in Greenland. We have adopted a
new weight allocation strategy to ensure that GRACE and GNSS
data make similar contributions to the joint inversion results,
avoiding the loss of information contained in GNSS due to the
difference in spatial coverage between the two types of data.
The joint inversion results are compared to satellite altimetry-
derived GrIS mass changes and two GNET verification sites not
involved in the inversion. This joint inversion method most
strongly improves the spatial resolution of ice mass change
estimates in low-altitude areas of Greenland. We recovered the
melting signal of the GrIS leaking into the non-ice-covered
land, and joint inversion indicates during January 2008 to
December 2020 an ice mass trend (-254.0 Gt/yr) which is slightly
slower than that inferred using GRACE mascon methods (-261.3
Gt/yr), but the annual amplitude of ice mass change (152.6 Gt)
is significantly higher than GRACE (135.0 Gt). We identified
areas with significant changes in ice mass that were not
resolved by GRACE, and found (not surprisingly) that mass
fluctuations were greater at outlet glacier locations than in
adjacent areas of the ice sheet. Ice mass changes inferred from
vertical land motion are sensitive to GIA corrections, and the
difference in the rate of ice mass loss evaluated using
different GIA models can reach around 20 Gt/yr, similar to
GRACE-inferred mass estimates. This study successfully applies
inverting GNSS and GRACE data for ice mass change at the edge of
Greenland.}",
doi = {10.1016/j.epsl.2025.119329},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025E&PSL.65819329X},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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