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.
Research article
| 
16 Feb 2023
Research article |
| 16 Feb 2023
| 16 Feb 2023
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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Cited
12 citations as recorded by crossref.
- A Bibliometric and Visualized Analysis of Remote Sensing Methods for Glacier Mass Balance Research A. Yu et al. 10.3390/rs15051425
- Monitoring Earth’s climate variables with satellite laser altimetry L. Magruder et al. 10.1038/s43017-023-00508-8
- A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR M. Tedesco et al. 10.5194/tc-17-5061-2023
- Bayesian estimation of glacier surface elevation changes from DEMs G. Guillet & T. Bolch 10.3389/feart.2023.1076732
- Firn on ice sheets C. Amory et al. 10.1038/s43017-023-00507-9
- A new model of dry firn-densification constrained by continuous strain measurements near South Pole C. Stevens et al. 10.1017/jog.2023.87
- 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. 10.5194/tc-17-2185-2023
- Characteristics of the 1979–2020 Antarctic firn layer simulated with IMAU-FDM v1.2A S. Veldhuijsen et al. 10.5194/tc-17-1675-2023
- Quantifying the impact of X-band InSAR penetration bias on elevation change and mass balance estimation S. Abdullahi et al. 10.1017/aog.2024.7
- Synthesis of field and satellite data to elucidate recent mass balance of five ice rises in Dronning Maud Land, Antarctica V. Goel et al. 10.3389/feart.2022.975606
- Simulations of firn processes over the Greenland and Antarctic ice sheets: 1980–2021 B. Medley et al. 10.5194/tc-16-3971-2022
- Mass Balances of the Antarctic and Greenland Ice Sheets Monitored from Space I. Otosaka et al. 10.1007/s10712-023-09795-8
9 citations as recorded by crossref.
- A Bibliometric and Visualized Analysis of Remote Sensing Methods for Glacier Mass Balance Research A. Yu et al. 10.3390/rs15051425
- Monitoring Earth’s climate variables with satellite laser altimetry L. Magruder et al. 10.1038/s43017-023-00508-8
- A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR M. Tedesco et al. 10.5194/tc-17-5061-2023
- Bayesian estimation of glacier surface elevation changes from DEMs G. Guillet & T. Bolch 10.3389/feart.2023.1076732
- Firn on ice sheets C. Amory et al. 10.1038/s43017-023-00507-9
- A new model of dry firn-densification constrained by continuous strain measurements near South Pole C. Stevens et al. 10.1017/jog.2023.87
- 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. 10.5194/tc-17-2185-2023
- Characteristics of the 1979–2020 Antarctic firn layer simulated with IMAU-FDM v1.2A S. Veldhuijsen et al. 10.5194/tc-17-1675-2023
- Quantifying the impact of X-band InSAR penetration bias on elevation change and mass balance estimation S. Abdullahi et al. 10.1017/aog.2024.7
3 citations as recorded by crossref.
- Synthesis of field and satellite data to elucidate recent mass balance of five ice rises in Dronning Maud Land, Antarctica V. Goel et al. 10.3389/feart.2022.975606
- Simulations of firn processes over the Greenland and Antarctic ice sheets: 1980–2021 B. Medley et al. 10.5194/tc-16-3971-2022
- Mass Balances of the Antarctic and Greenland Ice Sheets Monitored from Space I. Otosaka et al. 10.1007/s10712-023-09795-8
Latest update: 26 Apr 2024
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...
