Articles | Volume 16, issue 11
https://doi.org/10.5194/se-16-1401-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-16-1401-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Nov 2025
Research article |
| 13 Nov 2025
| 13 Nov 2025
Application of Self-Organizing Maps to characterize subglacial bedrock properties based on gravity, magnetic and radar data – an example for the Wilkes and Aurora Subglacial Basin region, East Antarctica
Jonas Liebsch
Institute of Geosciences, Kiel University, Kiel, Germany
now at: University of Iceland, Reykjavik, Iceland
Institute of Geosciences, Kiel University, Kiel, Germany
Kenichi Matsuoka
Norwegian Polar Institute, Tromsø, Norway
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Felipe Napoleoni, Michael J. Bentley, Neil Ross, Stewart S. R. Jamieson, José A. Uribe, Jonathan Oberreuter, Rodrigo Zamora, Andrés Rivera, Andrew M. Smith, Robert G. Bingham, and Kenichi Matsuoka
EGUsphere, https://doi.org/10.5194/egusphere-2025-4670, https://doi.org/10.5194/egusphere-2025-4670, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
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We mapped buried layers inside West Antarctic ice using ice penetrating radar across 13,000 km² near the Amundsen–Weddell divide. Some layers may be as old as 17k years. They appear neat in slow ice and warped where ice speeds up, yet can be followed across most of the area. Snowfall has long been higher on one side, suggesting the divide has remained stable for millennia. Our work links records from the Weddell and Amundsen seas and helps target future climate archives and models.
Robert G. Bingham, Julien A. Bodart, Marie G. P. Cavitte, Ailsa Chung, Rebecca J. Sanderson, Johannes C. R. Sutter, Olaf Eisen, Nanna B. Karlsson, Joseph A. MacGregor, Neil Ross, Duncan A. Young, David W. Ashmore, Andreas Born, Winnie Chu, Xiangbin Cui, Reinhard Drews, Steven Franke, Vikram Goel, John W. Goodge, A. Clara J. Henry, Antoine Hermant, Benjamin H. Hills, Nicholas Holschuh, Michelle R. Koutnik, Gwendolyn J.-M. C. Leysinger Vieli, Emma J. MacKie, Elisa Mantelli, Carlos Martín, Felix S. L. Ng, Falk M. Oraschewski, Felipe Napoleoni, Frédéric Parrenin, Sergey V. Popov, Therese Rieckh, Rebecca Schlegel, Dustin M. Schroeder, Martin J. Siegert, Xueyuan Tang, Thomas O. Teisberg, Kate Winter, Shuai Yan, Harry Davis, Christine F. Dow, Tyler J. Fudge, Tom A. Jordan, Bernd Kulessa, Kenichi Matsuoka, Clara J. Nyqvist, Maryam Rahnemoonfar, Matthew R. Siegfried, Shivangini Singh, Vjeran Višnjević, Rodrigo Zamora, and Alexandra Zuhr
The Cryosphere, 19, 4611–4655, https://doi.org/10.5194/tc-19-4611-2025, https://doi.org/10.5194/tc-19-4611-2025, 2025
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The ice sheets covering Antarctica have built up over millenia through successive snowfall events which become buried and preserved as internal surfaces of equal age detectable with ice-penetrating radar. This paper describes an international initiative working together on these archival data to build a comprehensive 3-D picture of how old the ice is everywhere across Antarctica and how this is being used to reconstruct past and to predict future ice and climate behaviour.
Björn H. Heincke, Wolfgang Szwillus, Judith Freienstein, Jörg Ebbing, Carmen Gaina, Antonia Ruppel, Yixiati Dilixiati, and Agnes Wansing
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-448, https://doi.org/10.5194/essd-2025-448, 2025
Preprint under review for ESSD
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With over three-quarters of Greenland hidden beneath ice, direct geological observation is nearly impossible. Magnetic mapping provides now a passive and efficient geophysical method to image hidden subsurface features, offering a powerful tool for tectonic analysis and geological modeling in otherwise inaccessible regions. We have now developed a new magnetic anomaly map of Greenland using state-of-the-art technology providing new insight into Greenland’s buried geology.
Vikram Goel, Carlos Martin, Kenichi Matsuoka, Bhanu Pratap, Geir Moholdt, Rahul Dey, Chavarukonam M. Laluraj, and Meloth Thamban
EGUsphere, https://doi.org/10.5194/egusphere-2025-2037, https://doi.org/10.5194/egusphere-2025-2037, 2025
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We identified an ideal site in coastal East Antarctica for extracting ice core that contain detailed climate records dating back 20,000 years. We surveyed two ice rises combining radar measurements with ice flow modeling to assess their suitability. One site emerged as optimal, offering well-preserved climate history with high temporal resolution. An ice core record from this site could help us understand historical interactions between sea ice, winds, and precipitation patterns in the region.
Jennifer F. Arthur, Calvin Shackleton, Geir Moholdt, Kenichi Matsuoka, and Jelte van Oostveen
The Cryosphere, 19, 375–392, https://doi.org/10.5194/tc-19-375-2025, https://doi.org/10.5194/tc-19-375-2025, 2025
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Lakes can form beneath the large ice sheets and can influence ice-sheet dynamics and stability. Some of these subglacial lakes are active, meaning that they periodically drain and refill. Here we report seven new active subglacial lakes close to the Antarctic Ice Sheet margin using satellite measurements of ice surface height changes in a region where little was known previously. These findings improve our understanding of subglacial hydrology and will help refine subglacial hydrological models.
Peter Haas, Myron F. H. Thomas, Christian Heine, Jörg Ebbing, Andrey Seregin, and Jimmy van Itterbeeck
Solid Earth, 15, 1419–1443, https://doi.org/10.5194/se-15-1419-2024, https://doi.org/10.5194/se-15-1419-2024, 2024
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Transform faults are conservative plate boundaries where no material is added or destroyed. Oceanic fracture zones are their inactive remnants and record tectonic processes that formed oceanic crust. In this study, we combine high-resolution data sets along fracture zones in the Gulf of Guinea to demonstrate that their formation is characterized by increased metamorphic conditions. This is in line with previous studies that describe the non-conservative character of transform faults.
Ran Issachar, Peter Haas, Nico Augustin, and Jörg Ebbing
Solid Earth, 15, 807–826, https://doi.org/10.5194/se-15-807-2024, https://doi.org/10.5194/se-15-807-2024, 2024
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In this contribution, we explore the causal relationship between the arrival of the Afar plume and the initiation of the Afro-Arabian rift. We mapped the rift architecture in the triple-junction region using geophysical data and reviewed the available geological data. We interpret a progressive development of the plume–rift system and suggest an interaction between active and passive mechanisms in which the plume provided a push force that changed the kinematics of the associated plates.
Eledath M. Gayathri, Chavarukonam M. Laluraj, Karathazhiyath Satheesan, Kenichi Matsuoka, Mahalinganathan Kanthanathan, and Meloth Thamban
EGUsphere, https://doi.org/10.5194/egusphere-2024-1666, https://doi.org/10.5194/egusphere-2024-1666, 2024
Preprint archived
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Here, we study the effects of short–term atmospheric warming events on the ice sheet surface and subsurface temperatures of coastal Dronning Maud Land during 2014–2018. Our results revealed that the impact of warming events over ice sheet surface and subsurface temperatures varies with the mechanism of warming and prevailing meteorological conditions. The frequency and duration of such events are important for the surface and sub-surface processes of ice sheets.
Judith Freienstein, Wolfgang Szwillus, Agnes Wansing, and Jörg Ebbing
Solid Earth, 15, 513–533, https://doi.org/10.5194/se-15-513-2024, https://doi.org/10.5194/se-15-513-2024, 2024
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Geothermal heat flow influences ice sheet dynamics, making its investigation important for ice-covered regions. Here we evaluate the sparse measurements for their agreement with regional solid Earth models, as well as with a statistical approach. This shows that some points should be excluded from regional studies. In particular, the NGRIP point, which strongly influences heat flow maps and the distribution of high basal melts, should be statistically considered an outlier.
Eledath M. Gayathri, Chavarukonam M. Laluraj, Karathazhiyath Satheesan, Kenichi Matsuoka, and Meloth Thamban
EGUsphere, https://doi.org/10.5194/egusphere-2023-2515, https://doi.org/10.5194/egusphere-2023-2515, 2023
Preprint archived
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Episodic Antarctic Ice Sheet Surface Warming events can affect the mass balance of ice sheets by sublimation and melting during summer. Our study using five-year borehole thermistor measurements revealed two types of events over the coastal Dronning Maud Land region: cloud-induced and wind-induced. Understanding the frequency and duration of these events is important for predicting their future impacts on ice shelves and ice sheets.
Marie G. P. Cavitte, Hugues Goosse, Kenichi Matsuoka, Sarah Wauthy, Vikram Goel, Rahul Dey, Bhanu Pratap, Brice Van Liefferinge, Thamban Meloth, and Jean-Louis Tison
The Cryosphere, 17, 4779–4795, https://doi.org/10.5194/tc-17-4779-2023, https://doi.org/10.5194/tc-17-4779-2023, 2023
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The net accumulation of snow over Antarctica is key for assessing current and future sea-level rise. Ice cores record a noisy snowfall signal to verify model simulations. We find that ice core net snowfall is biased to lower values for ice rises and the Dome Fuji site (Antarctica), while the relative uncertainty in measuring snowfall increases rapidly with distance away from the ice core sites at the ice rises but not at Dome Fuji. Spatial variation in snowfall must therefore be considered.
Angelika Graiff, Matthias Braun, Amelie Driemel, Jörg Ebbing, Hans-Peter Grossart, Tilmann Harder, Joseph I. Hoffman, Boris Koch, Florian Leese, Judith Piontek, Mirko Scheinert, Petra Quillfeldt, Jonas Zimmermann, and Ulf Karsten
Polarforschung, 91, 45–57, https://doi.org/10.5194/polf-91-45-2023, https://doi.org/10.5194/polf-91-45-2023, 2023
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There are many approaches to better understanding Antarctic processes that generate very large data sets (
Antarctic big data). For these large data sets there is a pressing need for improved data acquisition, curation, integration, service, and application to support fundamental scientific research, and this article describes and evaluates the current status of big data in various Antarctic scientific disciplines, identifies current gaps, and provides solutions to fill these gaps.
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.
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.
Igor Ognev, Jörg Ebbing, and Peter Haas
Solid Earth, 13, 431–448, https://doi.org/10.5194/se-13-431-2022, https://doi.org/10.5194/se-13-431-2022, 2022
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We present a new 3D crustal model of Volgo–Uralia, an eastern segment of the East European craton. We built this model by processing the satellite gravity data and using prior crustal thickness estimation from regional seismic studies to constrain the results. The modelling revealed a high-density body on the top of the mantle and otherwise reflected the main known features of the Volgo–Uralian crustal architecture. We plan to use the obtained model for further geothermal analysis of the region.
Pavol Zahorec, Juraj Papčo, Roman Pašteka, Miroslav Bielik, Sylvain Bonvalot, Carla Braitenberg, Jörg Ebbing, Gerald Gabriel, Andrej Gosar, Adam Grand, Hans-Jürgen Götze, György Hetényi, Nils Holzrichter, Edi Kissling, Urs Marti, Bruno Meurers, Jan Mrlina, Ema Nogová, Alberto Pastorutti, Corinne Salaun, Matteo Scarponi, Josef Sebera, Lucia Seoane, Peter Skiba, Eszter Szűcs, and Matej Varga
Earth Syst. Sci. Data, 13, 2165–2209, https://doi.org/10.5194/essd-13-2165-2021, https://doi.org/10.5194/essd-13-2165-2021, 2021
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The gravity field of the Earth expresses the overall effect of the distribution of different rocks at depth with their distinguishing densities. Our work is the first to present the high-resolution gravity map of the entire Alpine orogen, for which high-quality land and sea data were reprocessed with the exact same calculation procedures. The results reflect the local and regional structure of the Alpine lithosphere in great detail. The database is hereby openly shared to serve further research.
Maximilian Lowe, Jörg Ebbing, Amr El-Sharkawy, and Thomas Meier
Solid Earth, 12, 691–711, https://doi.org/10.5194/se-12-691-2021, https://doi.org/10.5194/se-12-691-2021, 2021
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This study estimates the gravitational contribution from subcrustal density heterogeneities interpreted as subducting lithosphere beneath the Alps to the gravity field. We showed that those heterogeneities contribute up to 40 mGal of gravitational signal. Such density variations are often not accounted for in Alpine lithospheric models. We demonstrate that future studies should account for subcrustal density variations to provide a meaningful representation of the complex geodynamic Alpine area.
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Short summary
The evolution of the Antarctic ice sheets depends, in addition to factors representing the warming climate, on the earth structure beneath the ice. What’s beneath the ice is largely inaccessible for direct sampling, but can be interpreted with the use of airborne measurements. We apply an unsupervised machine learning method to such data in East Antarctica to test whether this can ease interpretation and hence our understanding of what rocks types are beneath the ice.
The evolution of the Antarctic ice sheets depends, in addition to factors representing the...
