Articles | Volume 20, issue 3
https://doi.org/10.5194/tc-20-1589-2026
© Author(s) 2026. 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-20-1589-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication: Updated grounding line mapping in the Amundsen Sea Embayment, Antarctica, from one day repeat Sentinel-1 SAR data
Jonas K. Andersen
CORRESPONDING AUTHOR
Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
Romain Millan
Univ. Grenoble Alpes, CNRS, IRD, INRAE, Grenoble-INP, IGE (UMR 5001), 38000 Grenoble, France
Eric Rignot
Department of Earth System Science, University of California, Irvine, CA 92697, USA
Radar Science and Engineering Section, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Lucille Gimenes
Univ. Grenoble Alpes, CNRS, IRD, INRAE, Grenoble-INP, IGE (UMR 5001), 38000 Grenoble, France
Bernd Scheuchl
Department of Earth System Science, University of California, Irvine, CA 92697, USA
Jean Baptiste Barré
Department of Earth System Science, University of California, Irvine, CA 92697, USA
Anders A. Bjørk
Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
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Etienne Ducasse, Romain Millan, Jonas Kvist Andersen, and Antoine Rabatel
The Cryosphere, 19, 911–917, https://doi.org/10.5194/tc-19-911-2025, https://doi.org/10.5194/tc-19-911-2025, 2025
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Our study examines glacier movement in the tropical Andes from 2013 to 2022 using satellite data. Despite challenges like small glacier size and frequent cloud cover, we tracked annual speeds and seasonal changes. We found stable annual speeds but significant shifts between wet and dry seasons, likely due to changes in meltwater production and glacier–bedrock conditions. This research enhances understanding of how tropical glaciers react to climate change.
Rasmus Meyer, Mathias Preisler Schødt, Mikkel Lydholm Rasmussen, Jonas Kvist Andersen, Mads Dømgaard, and Anders Anker Bjørk
EGUsphere, https://doi.org/10.5194/egusphere-2024-3850, https://doi.org/10.5194/egusphere-2024-3850, 2025
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Understanding snow accumulation is important for water resource management, but measurements of snow depth in mountainous regions are sparse. We introduce a novel satellite-based approach to estimate snow depth for deep snow in mountainous regions by combining two types of satellite data: radar images and laser surface height measurements. Results suggest that our method more accurately estimate the magnitude of snowfall compared to modelled data over the Southern Norwegian Mountains.
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Sub-annual glacier surface velocity derived from remote sensing images are receiving increasing attention. In the meantime, systematic seasonal errors (i.e. biases) have been reported in time series derived from optical images on various landforms, such as landslides or dunes. The extent to which such biases affect glacier velocity maps remains poorly investigated. Here, we propose characterizing the amplitude and spatial distribution of these seasonal biases.
Gregor Luetzenburg, Niels Jakup Korsgaard, Anna Kirk Deichmann, Tobias Socher, Karin Gleie, Thomas Scharffenberger, Dominik Fahrner, Eva Bendix Nielsen, Penelope How, Anders Anker Bjørk, Kristian Kjellerup Kjeldsen, Andreas Peter Ahlstrøm, and Robert Schjøtt Fausto
Earth Syst. Sci. Data, 18, 411–427, https://doi.org/10.5194/essd-18-411-2026, https://doi.org/10.5194/essd-18-411-2026, 2026
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We mapped the edge of the Greenland Ice Sheet using recent satellite images to create a detailed outline of its extent in 2022. This helps track how the ice sheet is changing as the climate warms. By carefully combining satellite data and checking results by hand, we created one of the most accurate maps of the ice sheet to date. This map supports research on ice loss and improves predictions of future changes in Greenland’s ice and its effect on the planet.
Lucille Gimenes, Romain Millan, Nicolas Champollion, and Jordi Bolibar
The Cryosphere, 20, 171–182, https://doi.org/10.5194/tc-20-171-2026, https://doi.org/10.5194/tc-20-171-2026, 2026
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This study looks how changes in glacier thickness estimates and temperature will affect the timing when meltwater from glaciers in the western Kunlun Mountains will reach its peak. Using a global glacier model and two different datasets, we found that thinner glaciers and warmer temperatures cause peak meltwater to happen sooner. This is of interests since it affects future water supplies for people relying on glacier runoff, highlighting the need for accurate ice volume estimates.
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-687, https://doi.org/10.5194/essd-2025-687, 2025
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Laurane Charrier, Amaury Dehecq, Lei Guo, Fanny Brun, Romain Millan, Nathan Lioret, Luke Copland, Nathan Maier, Christine Dow, and Paul Halas
The Cryosphere, 19, 4555–4583, https://doi.org/10.5194/tc-19-4555-2025, https://doi.org/10.5194/tc-19-4555-2025, 2025
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While global annual glacier velocities are openly accessible, sub-annual velocity time series are still lacking. This hinders our ability to understand flow processes and the integration of these observations in numerical models. We introduce an open source Python package called TICOI (Temporal Inversion using linear Combinations of Observations, and Interpolation) to fuse multi-temporal and multi-sensor image-pair velocities produced by different processing chains to produce standardized sub-annual velocity products.
Anna Bang Kvorning, Marie-Alexandrine Sicre, Gregor Luetzenburg, Sabine Schmidt, Thorbjørn Joest Andersen, Vincent Klein, Eleanor Georgiadis, Audrey Limoges, Jacques Giraudeau, Anders Anker Bjørk, Nicolaj Krog Larsen, and Sofia Ribeiro
EGUsphere, https://doi.org/10.5194/egusphere-2025-2641, https://doi.org/10.5194/egusphere-2025-2641, 2025
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Niccolò Maffezzoli, Eric Rignot, Carlo Barbante, Troels Petersen, and Sebastiano Vascon
Geosci. Model Dev., 18, 2545–2568, https://doi.org/10.5194/gmd-18-2545-2025, https://doi.org/10.5194/gmd-18-2545-2025, 2025
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In this work we introduce IceBoost, a machine learning framework to model the ice thickness distribution of all the world's glaciers with greater accuracy than state-of-the-art methods. The model is trained on 3.7 million measurements globally available and provides skilful estimates across all regions. This advancement will help in better assessing future sea level changes and freshwater resources, with significance for both the scientific community and society at large.
Jonas K. Andersen, Rasmus P. Meyer, Flora S. Huiban, Mads L. Dømgaard, Romain Millan, and Anders A. Bjørk
The Cryosphere, 19, 1717–1724, https://doi.org/10.5194/tc-19-1717-2025, https://doi.org/10.5194/tc-19-1717-2025, 2025
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Storstrømmen Glacier in northeastern Greenland goes through cycles of sudden flow speed-ups (known as surges) followed by long quiet phases. It is currently in its quiet phase, but recent measurements suggest it may be nearing conditions for a new surge, possibly between 2027 and 2040. We also observed several lake drainages that caused brief increases in glacier flow but did not trigger a surge. Continued monitoring is essential to understand how these processes influence glacier behavior.
Etienne Ducasse, Romain Millan, Jonas Kvist Andersen, and Antoine Rabatel
The Cryosphere, 19, 911–917, https://doi.org/10.5194/tc-19-911-2025, https://doi.org/10.5194/tc-19-911-2025, 2025
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Our study examines glacier movement in the tropical Andes from 2013 to 2022 using satellite data. Despite challenges like small glacier size and frequent cloud cover, we tracked annual speeds and seasonal changes. We found stable annual speeds but significant shifts between wet and dry seasons, likely due to changes in meltwater production and glacier–bedrock conditions. This research enhances understanding of how tropical glaciers react to climate change.
Rasmus Meyer, Mathias Preisler Schødt, Mikkel Lydholm Rasmussen, Jonas Kvist Andersen, Mads Dømgaard, and Anders Anker Bjørk
EGUsphere, https://doi.org/10.5194/egusphere-2024-3850, https://doi.org/10.5194/egusphere-2024-3850, 2025
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Understanding snow accumulation is important for water resource management, but measurements of snow depth in mountainous regions are sparse. We introduce a novel satellite-based approach to estimate snow depth for deep snow in mountainous regions by combining two types of satellite data: radar images and laser surface height measurements. Results suggest that our method more accurately estimate the magnitude of snowfall compared to modelled data over the Southern Norwegian Mountains.
Eliot Jager, Fabien Gillet-Chaulet, Nicolas Champollion, Romain Millan, Heiko Goelzer, and Jérémie Mouginot
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Inspired by a previous intercomparison framework, our study better constrains uncertainties in glacier evolution using an innovative method to validate Bayesian calibration. Upernavik Isstrøm, one of Greenland's largest glaciers, has lost significant mass since 1985. By integrating observational data, climate models, human emissions, and internal model parameters, we project its evolution until 2100. We show that future human emissions are the main source of uncertainty in 2100, making up half.
Alice C. Frémand, Peter Fretwell, Julien A. Bodart, Hamish D. Pritchard, Alan Aitken, Jonathan L. Bamber, Robin Bell, Cesidio Bianchi, Robert G. Bingham, Donald D. Blankenship, Gino Casassa, Ginny Catania, Knut Christianson, Howard Conway, Hugh F. J. Corr, Xiangbin Cui, Detlef Damaske, Volkmar Damm, Reinhard Drews, Graeme Eagles, Olaf Eisen, Hannes Eisermann, Fausto Ferraccioli, Elena Field, René Forsberg, Steven Franke, Shuji Fujita, Yonggyu Gim, Vikram Goel, Siva Prasad Gogineni, Jamin Greenbaum, Benjamin Hills, Richard C. A. Hindmarsh, Andrew O. Hoffman, Per Holmlund, Nicholas Holschuh, John W. Holt, Annika N. Horlings, Angelika Humbert, Robert W. Jacobel, Daniela Jansen, Adrian Jenkins, Wilfried Jokat, Tom Jordan, Edward King, Jack Kohler, William Krabill, Mette Kusk Gillespie, Kirsty Langley, Joohan Lee, German Leitchenkov, Carlton Leuschen, Bruce Luyendyk, Joseph MacGregor, Emma MacKie, Kenichi Matsuoka, Mathieu Morlighem, Jérémie Mouginot, Frank O. Nitsche, Yoshifumi Nogi, Ole A. Nost, John Paden, Frank Pattyn, Sergey V. Popov, Eric Rignot, David M. Rippin, Andrés Rivera, Jason Roberts, Neil Ross, Anotonia Ruppel, Dustin M. Schroeder, Martin J. Siegert, Andrew M. Smith, Daniel Steinhage, Michael Studinger, Bo Sun, Ignazio Tabacco, Kirsty Tinto, Stefano Urbini, David Vaughan, Brian C. Welch, Douglas S. Wilson, Duncan A. Young, and Achille Zirizzotti
Earth Syst. Sci. Data, 15, 2695–2710, https://doi.org/10.5194/essd-15-2695-2023, https://doi.org/10.5194/essd-15-2695-2023, 2023
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This paper presents the release of over 60 years of ice thickness, bed elevation, and surface elevation data acquired over Antarctica by the international community. These data are a crucial component of the Antarctic Bedmap initiative which aims to produce a new map and datasets of Antarctic ice thickness and bed topography for the international glaciology and geophysical community.
B. Osmanoglu, S. A. Huang, C. A. Jones, B. Scheuchl, A. Khazendar, J. Sauber, K. Tymofyeyeva, and M. J. Jo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 225–232, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-225-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-225-2023, 2023
Inès N. Otosaka, Andrew Shepherd, Erik R. Ivins, Nicole-Jeanne Schlegel, Charles Amory, Michiel R. van den Broeke, Martin Horwath, Ian Joughin, Michalea D. King, Gerhard Krinner, Sophie Nowicki, Anthony J. Payne, Eric Rignot, Ted Scambos, Karen M. Simon, Benjamin E. Smith, Louise S. Sørensen, Isabella Velicogna, Pippa L. Whitehouse, Geruo A, Cécile Agosta, Andreas P. Ahlstrøm, Alejandro Blazquez, William Colgan, Marcus E. Engdahl, Xavier Fettweis, Rene Forsberg, Hubert Gallée, Alex Gardner, Lin Gilbert, Noel Gourmelen, Andreas Groh, Brian C. Gunter, Christopher Harig, Veit Helm, Shfaqat Abbas Khan, Christoph Kittel, Hannes Konrad, Peter L. Langen, Benoit S. Lecavalier, Chia-Chun Liang, Bryant D. Loomis, Malcolm McMillan, Daniele Melini, Sebastian H. Mernild, Ruth Mottram, Jeremie Mouginot, Johan Nilsson, Brice Noël, Mark E. Pattle, William R. Peltier, Nadege Pie, Mònica Roca, Ingo Sasgen, Himanshu V. Save, Ki-Weon Seo, Bernd Scheuchl, Ernst J. O. Schrama, Ludwig Schröder, Sebastian B. Simonsen, Thomas Slater, Giorgio Spada, Tyler C. Sutterley, Bramha Dutt Vishwakarma, Jan Melchior van Wessem, David Wiese, Wouter van der Wal, and Bert Wouters
Earth Syst. Sci. Data, 15, 1597–1616, https://doi.org/10.5194/essd-15-1597-2023, https://doi.org/10.5194/essd-15-1597-2023, 2023
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By measuring changes in the volume, gravitational attraction, and ice flow of Greenland and Antarctica from space, we can monitor their mass gain and loss over time. Here, we present a new record of the Earth’s polar ice sheet mass balance produced by aggregating 50 satellite-based estimates of ice sheet mass change. This new assessment shows that the ice sheets have lost (7.5 x 1012) t of ice between 1992 and 2020, contributing 21 mm to sea level rise.
Ugo Nanni, Dirk Scherler, Francois Ayoub, Romain Millan, Frederic Herman, and Jean-Philippe Avouac
The Cryosphere, 17, 1567–1583, https://doi.org/10.5194/tc-17-1567-2023, https://doi.org/10.5194/tc-17-1567-2023, 2023
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Surface melt is a major factor driving glacier movement. Using satellite images, we have tracked the movements of 38 glaciers in the Pamirs over 7 years, capturing their responses to rapid meteorological changes with unprecedented resolution. We show that in spring, glacier accelerations propagate upglacier, while in autumn, they propagate downglacier – all resulting from changes in meltwater input. This provides critical insights into the interplay between surface melt and glacier movement.
Mads Dømgaard, Kristian K. Kjeldsen, Flora Huiban, Jonathan L. Carrivick, Shfaqat A. Khan, and Anders A. Bjørk
The Cryosphere, 17, 1373–1387, https://doi.org/10.5194/tc-17-1373-2023, https://doi.org/10.5194/tc-17-1373-2023, 2023
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Sudden releases of meltwater from glacier-dammed lakes can influence ice flow, cause flooding hazards and landscape changes. This study presents a record of 14 drainages from 2007–2021 from a lake in west Greenland. The time series reveals how the lake fluctuates between releasing large and small amounts of drainage water which is caused by a weakening of the damming glacier following the large events. We also find a shift in the water drainage route which increases the risk of flooding hazards.
Sophie Goliber, Taryn Black, Ginny Catania, James M. Lea, Helene Olsen, Daniel Cheng, Suzanne Bevan, Anders Bjørk, Charlie Bunce, Stephen Brough, J. Rachel Carr, Tom Cowton, Alex Gardner, Dominik Fahrner, Emily Hill, Ian Joughin, Niels J. Korsgaard, Adrian Luckman, Twila Moon, Tavi Murray, Andrew Sole, Michael Wood, and Enze Zhang
The Cryosphere, 16, 3215–3233, https://doi.org/10.5194/tc-16-3215-2022, https://doi.org/10.5194/tc-16-3215-2022, 2022
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Terminus traces have been used to understand how Greenland's glaciers have changed over time; however, manual digitization is time-intensive, and a lack of coordination leads to duplication of efforts. We have compiled a dataset of over 39 000 terminus traces for 278 glaciers for scientific and machine learning applications. We also provide an overview of an updated version of the Google Earth Engine Digitization Tool (GEEDiT), which has been developed specifically for the Greenland Ice Sheet.
Romain Millan, Jeremie Mouginot, Anna Derkacheva, Eric Rignot, Pietro Milillo, Enrico Ciraci, Luigi Dini, and Anders Bjørk
The Cryosphere, 16, 3021–3031, https://doi.org/10.5194/tc-16-3021-2022, https://doi.org/10.5194/tc-16-3021-2022, 2022
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We detect for the first time a dramatic retreat of the grounding line of Petermann Glacier, a major glacier of the Greenland Ice Sheet. Using satellite data, we also observe a speedup of the glacier and a fracturing of the ice shelf. This sequence of events is coherent with ocean warming in this region and suggests that Petermann Glacier has initiated a phase of destabilization, which is of prime importance for the stability and future contribution of the Greenland Ice Sheet to sea level rise.
Gregor Luetzenburg, Kristian Svennevig, Anders A. Bjørk, Marie Keiding, and Aart Kroon
Earth Syst. Sci. Data, 14, 3157–3165, https://doi.org/10.5194/essd-14-3157-2022, https://doi.org/10.5194/essd-14-3157-2022, 2022
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We produced the first landslide inventory for Denmark. Over 3200 landslides were mapped using a high-resolution elevation model and orthophotos. We implemented an independent validation into our mapping and found an overall level of completeness of 87 %. The national inventory represents a range of landslide sizes covering all regions that were covered by glacial ice during the last glacial period. This inventory will be used for investigating landslide causes and for natural hazard mitigation.
L. Charrier, Y. Yan, E. Colin Koeniguer, J. Mouginot, R. Millan, and E. Trouvé
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 311–318, https://doi.org/10.5194/isprs-annals-V-3-2022-311-2022, https://doi.org/10.5194/isprs-annals-V-3-2022-311-2022, 2022
William Colgan, Agnes Wansing, Kenneth Mankoff, Mareen Lösing, John Hopper, Keith Louden, Jörg Ebbing, Flemming G. Christiansen, Thomas Ingeman-Nielsen, Lillemor Claesson Liljedahl, Joseph A. MacGregor, Árni Hjartarson, Stefan Bernstein, Nanna B. Karlsson, Sven Fuchs, Juha Hartikainen, Johan Liakka, Robert S. Fausto, Dorthe Dahl-Jensen, Anders Bjørk, Jens-Ove Naslund, Finn Mørk, Yasmina Martos, Niels Balling, Thomas Funck, Kristian K. Kjeldsen, Dorthe Petersen, Ulrik Gregersen, Gregers Dam, Tove Nielsen, Shfaqat A. Khan, and Anja Løkkegaard
Earth Syst. Sci. Data, 14, 2209–2238, https://doi.org/10.5194/essd-14-2209-2022, https://doi.org/10.5194/essd-14-2209-2022, 2022
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We assemble all available geothermal heat flow measurements collected in and around Greenland into a new database. We use this database of point measurements, in combination with other geophysical datasets, to model geothermal heat flow in and around Greenland. Our geothermal heat flow model is generally cooler than previous models of Greenland, especially in southern Greenland. It does not suggest any high geothermal heat flows resulting from Icelandic plume activity over 50 million years ago.
Daniel Cheng, Wayne Hayes, Eric Larour, Yara Mohajerani, Michael Wood, Isabella Velicogna, and Eric Rignot
The Cryosphere, 15, 1663–1675, https://doi.org/10.5194/tc-15-1663-2021, https://doi.org/10.5194/tc-15-1663-2021, 2021
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Tracking changes in Greenland's glaciers is important for understanding Earth's climate, but it is time consuming to do so by hand. We train a program, called CALFIN, to automatically track these changes with human levels of accuracy. CALFIN is a special type of program called a neural network. This method can be applied to other glaciers and eventually other tracking tasks. This will enhance our understanding of the Greenland Ice Sheet and permit better models of Earth's climate.
Cited articles
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Andersen, J. K., Millan, R., Rignot, E., Gimenes, L., Scheuchl, B., Barré, J. B., and Bjørk, A. A.: Updated grounding line mapping in the Amundsen Sea Embayment, Antarctica, from 1 d repeat Sentinel-1 SAR data, https://doi.org/10.5281/ZENODO.18503724, 2025. a
Brancato, V., Rignot, E., Milillo, P., Morlighem, M., Mouginot, J., An, L., Scheuchl, B., Jeong, S., Rizzoli, P., Bueso Bello, J. L., and Prats-Iraola, P.: Grounding Line Retreat of Denman Glacier, East Antarctica, Measured With COSMO-SkyMed Radar Interferometry Data, Geophys. Res. Lett., 47, e2019GL086291, https://doi.org/10.1029/2019GL086291, 2020. a
Chartrand, A. M., Howat, I. M., Joughin, I. R., and Smith, B. E.: Thwaites Glacier thins and retreats fastest where ice-shelf channels intersect its grounding zone, The Cryosphere, 18, 4971–4992, https://doi.org/10.5194/tc-18-4971-2024, 2024. a
Christie, F. D. W., Bingham, R. G., Gourmelen, N., Tett, S. F. B., and Muto, A.: Four-decade record of pervasive grounding line retreat along the Bellingshausen margin of West Antarctica, Geophys. Res. Lett., 43, 5741–5749, https://doi.org/10.1002/2016GL068972, 2016. a, b
Chuter, S. J., Martín-Español, A., Wouters, B., and Bamber, J. L.: Mass balance reassessment of glaciers draining into the Abbot and Getz Ice Shelves of West Antarctica, Geophys. Res. Lett., 44, 7328–7337, https://doi.org/10.1002/2017GL073087, 2017. a
Freer, B. I. D., Marsh, O. J., Hogg, A. E., Fricker, H. A., and Padman, L.: Modes of Antarctic tidal grounding line migration revealed by Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) laser altimetry, The Cryosphere, 17, 4079–4101, https://doi.org/10.5194/tc-17-4079-2023, 2023. a
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Short summary
We used new satellite radar data from 2025 to map the border where Antarctic glaciers lose contact with the ground and begin to float. This updated map shows recent changes to many glaciers in the Amundsen Sea region, some of which have retreated by several kilometers. Our results help track how Antarctica is responding to climate change and highlight the value of future satellite missions for monitoring ice sheet stability.
We used new satellite radar data from 2025 to map the border where Antarctic glaciers lose...