Mon Feb 16, F. Flechtner
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Gałdyn, Filip, Sośnica, Krzysztof, Zajdel, Radosław, Meyer, Ulrich, and Jäggi, Adrian, 2026. Non–Linear Global Ice and Water Storage Changes from a Combination of Satellite Laser Ranging and GRACE Data. Remote Sensing, 18(2):313, doi:10.3390/rs18020313.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026RemS...18..313G,
author = {{Ga{\l}dyn}, Filip and {So{\'s}nica}, Krzysztof and {Zajdel}, Rados{\l}aw and {Meyer}, Ulrich and {J{\"a}ggi}, Adrian},
title = "{Non-Linear Global Ice and Water Storage Changes from a Combination of Satellite Laser Ranging and GRACE Data}",
journal = {Remote Sensing},
keywords = {satellite laser ranging, GRACE, Earth's gravity models, long-term models},
year = 2026,
month = jan,
volume = {18},
number = {2},
eid = {313},
pages = {313},
abstract = "{What are the main findings? A combined SLR and GRACE gravity model
spanning 1995─2024 reveals significant non-linear mass changes,
identifying specific trend reversal dates for global ice and
water reservoirs, such as the 2004 peak in Svalbard and the 2021
trend reversal in the Antarctic Peninsula. The analysis
demonstrates that linear trend models fail to stabilize even
with 30 years of data, whereas models incorporating acceleration
parameters achieve stabilization for most polar regions after
15─20 years. A combined SLR and GRACE gravity model spanning
1995─2024 reveals significant non-linear mass changes,
identifying specific trend reversal dates for global ice and
water reservoirs, such as the 2004 peak in Svalbard and the 2021
trend reversal in the Antarctic Peninsula. The analysis
demonstrates that linear trend models fail to stabilize even
with 30 years of data, whereas models incorporating acceleration
parameters achieve stabilization for most polar regions after
15─20 years. What are the implications of the main findings?
This study proves that extending the satellite gravimetry record
back to 1995 using SLR allows for the accurate detection of
climate-driven hydrological events, e.g., the 1997/1998 El
Ni{\~n}o, prior to the GRACE mission launch. Incorporating
acceleration terms into long-term gravity models provides a more
reliable metric for monitoring climate change impacts than
linear trends alone, particularly for detecting the onset of
rapid ice mass depletion or recovery. This study proves that
extending the satellite gravimetry record back to 1995 using SLR
allows for the accurate detection of climate-driven hydrological
events, e.g., the 1997/1998 El Ni{\~n}o, prior to the GRACE
mission launch. Incorporating acceleration terms into long-term
gravity models provides a more reliable metric for monitoring
climate change impacts than linear trends alone, particularly
for detecting the onset of rapid ice mass depletion or recovery.
Determining long-term changes in global ice and water storage
from satellite gravimetry remains challenging due to the limited
temporal coverage of high-resolution missions. Here, we combine
Satellite Laser Ranging (SLR) and Gravity Recovery and Climate
Experiment (GRACE) data to reconstruct large-scale, non-linear
mass variations from 1995 to 2024, extending gravity-based
observations into the pre-GRACE era while preserving spatial
detail through backward extrapolation. The combined model
reveals widespread and statistically significant accelerations
in global water and ice mass changes and enables the
identification of key turning points in their temporal
evolution. Results indicate that in Svalbard, a non-linear
transition in ice mass balance occurred in late 2004, followed
by a pronounced acceleration of mass loss due to climate
warming. Glaciers in the Gulf of Alaska exhibit persistent mass
loss with a marked intensification after 2012, while in the
Antarctic Peninsula, ice mass loss substantially slowed and a
potential trend reversal emerged around 2021. The reconstructed
mass anomalies show strong consistency with independent
satellite altimetry and climate indicators, including a clear
response to the 1997/1998 El Ni{\~n}o event prior to the GRACE
mission. These findings demonstrate that integrating SLR with
GRACE enables robust detection of non-linear, climate-driven
mass redistribution on a global scale and provides a physically
consistent extension of satellite gravimetry records beyond the
GRACE era.}",
doi = {10.3390/rs18020313},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026RemS...18..313G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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