Articles | Volume 17, issue 2
https://doi.org/10.5194/tc-17-789-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-789-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating Greenland surface-mass-balance and firn-densification data using ICESat-2 altimetry
Polar Science
Center, Applied Physics Laboratory, University of Washington, Seattle, WA 98122, USA
Brooke Medley
Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Xavier Fettweis
Spheres research unit, Geography, University of Liège, Liège,
Belgium
Tyler Sutterley
Polar Science
Center, Applied Physics Laboratory, University of Washington, Seattle, WA 98122, USA
Patrick Alexander
Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY
10964, USA
NASA Goddard Institute for Space Studies, New York, NY 10025, USA
David Porter
Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY
10964, USA
Marco Tedesco
Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY
10964, USA
NASA Goddard Institute for Space Studies, New York, NY 10025, USA
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- An evaluation of a physics-based firn model and a semi-empirical firn model across the Greenland Ice Sheet (1980–2020) M. Thompson-Munson et al. https://doi.org/10.5194/tc-17-2185-2023
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23 citations as recorded by crossref.
- Evidence of active subglacial lakes under a slowly moving coastal region of the Antarctic Ice Sheet J. Arthur et al. https://doi.org/10.5194/tc-19-375-2025
- Monitoring Earth’s climate variables with satellite laser altimetry L. Magruder et al. https://doi.org/10.1038/s43017-023-00508-8
- Greenland supraglacial lakes albedo-depth parameterization from multi-source remote sensing: An application of lake-albedo feedback modeling J. Wu et al. https://doi.org/10.1016/j.jhydrol.2025.134001
- Impact of atmospheric river evolutions on Greenland ice sheet mass changes over the last two decades, 2000–2019 J. Li et al. https://doi.org/10.1016/j.polar.2024.101158
- Modelling snowpack on ice surfaces with the ORCHIDEE land surface model: application to the Greenland ice sheet S. Charbit et al. https://doi.org/10.5194/tc-18-5067-2024
- Joint inversion of GNSS and GRACE data for ice mass loads in Greenland Y. Xie et al. https://doi.org/10.1016/j.epsl.2025.119329
- A Bibliometric and Visualized Analysis of Remote Sensing Methods for Glacier Mass Balance Research A. Yu et al. https://doi.org/10.3390/rs15051425
- Validation and Analysis of the ICESat-2 ATL11 Product: A Case Study of Lake Vostok Y. Gu et al. https://doi.org/10.1080/01490419.2024.2416661
- ICESat-2 surface elevation assessment with kinematic GPS and static GNSS near the ice divide in Greenland D. Pickell et al. https://doi.org/10.5194/tc-20-483-2026
- A new model of dry firn-densification constrained by continuous strain measurements near South Pole C. Stevens et al. https://doi.org/10.1017/jog.2023.87
- Novel insight into the spatiotemporal distribution of Greenland ice sheet surface densities from eleven years of satellite radar altimetry K. Scanlan et al. https://doi.org/10.1038/s41598-025-02403-2
- Quantifying the impact of X-band InSAR penetration bias on elevation change and mass balance estimation S. Abdullahi et al. https://doi.org/10.1017/aog.2024.7
- Advances in monitoring glaciological processes in Kalallit Nunaat (Greenland) over the past decades D. Fahrner et al. https://doi.org/10.1371/journal.pclm.0000379
- Revealing firn structure at Dome A region in East Antarctica using cultural seismic noise Z. Song et al. https://doi.org/10.5194/tc-19-6341-2025
- Smoothed monthly Greenland ice sheet elevation changes during 2003–2023 S. Khan et al. https://doi.org/10.5194/essd-17-3047-2025
- A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR M. Tedesco et al. https://doi.org/10.5194/tc-17-5061-2023
- Bayesian estimation of glacier surface elevation changes from DEMs G. Guillet & T. Bolch https://doi.org/10.3389/feart.2023.1076732
- An evaluation of a physics-based firn model and a semi-empirical firn model across the Greenland Ice Sheet (1980–2020) M. Thompson-Munson et al. https://doi.org/10.5194/tc-17-2185-2023
- Characteristics of the 1979–2020 Antarctic firn layer simulated with IMAU-FDM v1.2A S. Veldhuijsen et al. https://doi.org/10.5194/tc-17-1675-2023
- Assessing spatiotemporal variability in melt–refreeze patterns in firn over Greenland with CryoSat-2 W. Li et al. https://doi.org/10.5194/tc-19-3419-2025
- Firn on ice sheets C. Amory et al. https://doi.org/10.1038/s43017-023-00507-9
- Analysis of long-term dynamic changes of subglacial lakes in the Recovery Ice Stream, Antarctica T. Feng et al. https://doi.org/10.5194/tc-20-2417-2026
- Mechanism and algorithm for addressing the impact of multiple scattering on surface elevation extraction in photon-counting LiDAR data Z. Wang et al. https://doi.org/10.1016/j.rse.2025.114603
Saved (final revised paper)
Latest update: 07 Jun 2026
Short summary
We use repeated satellite measurements of the height of the Greenland ice sheet to learn about how three computational models of snowfall, melt, and snow compaction represent actual changes in the ice sheet. We find that the models do a good job of estimating how the parts of the ice sheet near the coast have changed but that two of the models have trouble representing surface melt for the highest part of the ice sheet. This work provides suggestions for how to better model snowmelt.
We use repeated satellite measurements of the height of the Greenland ice sheet to learn about...