Articles | Volume 18, issue 3
https://doi.org/10.5194/essd-18-1943-2026
© 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/essd-18-1943-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A new magnetic anomaly map for Greenland based on a combination of equivalent source modeling and spherical harmonic expansion
Björn H. Heincke
CORRESPONDING AUTHOR
Geological Survey of Denmark and Greenland (GEUS), Department of Geophysics and Sedimentary Basins, Oester Voldgade 10, 1350 Copenhagen K, Denmark
Wolfgang Szwillus
Kiel University, Department of Geosciences, Otto-Hahn Platz 1, 24118 Kiel, Germany
Judith Freienstein
Kiel University, Department of Geosciences, Otto-Hahn Platz 1, 24118 Kiel, Germany
Jörg Ebbing
Kiel University, Department of Geosciences, Otto-Hahn Platz 1, 24118 Kiel, Germany
Carmen Gaina
Centre for Planetary Habitability (PHAB), University of Oslo, Department of Geosciences, Sem Sælands vei 2A, 0371 Oslo, Norway
Antonia Ruppel
Federal Institute for Geosciences and Natural Resources, Stilleweg 2, 30655 Hanover, Germany
Yixiati Dilixiati
University of Stuttgart, Institute of Geodesy, Geschwister-Scholl-Str. 24D, 70174 Stuttgart, Germany
Agnes Wansing
Kiel University, Department of Geosciences, Otto-Hahn Platz 1, 24118 Kiel, Germany
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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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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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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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Tong Zhang, William Colgan, Agnes Wansing, Anja Løkkegaard, Gunter Leguy, William H. Lipscomb, and Cunde Xiao
The Cryosphere, 18, 387–402, https://doi.org/10.5194/tc-18-387-2024, https://doi.org/10.5194/tc-18-387-2024, 2024
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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
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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.
Barend Cornelis Root, Josef Sebera, Wolfgang Szwillus, Cedric Thieulot, Zdeněk Martinec, and Javier Fullea
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Several alternative gravity modelling techniques and associated numerical codes with their own advantages and limitations are available for the solid Earth community. With upcoming state-of-the-art lithosphere density models and accurate global gravity field data sets, it is vital to understand the differences of the various approaches. In this paper, we discuss the four widely used techniques: spherical harmonics, tesseroid integration, triangle integration, and hexahedral integration.
Robert Jackisch, Björn H. Heincke, Robert Zimmermann, Erik V. Sørensen, Markku Pirttijärvi, Moritz Kirsch, Heikki Salmirinne, Stefanie Lode, Urpo Kuronen, and Richard Gloaguen
Solid Earth, 13, 793–825, https://doi.org/10.5194/se-13-793-2022, https://doi.org/10.5194/se-13-793-2022, 2022
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We integrate UAS-based magnetic and multispectral data with legacy exploration data of a Ni–Cu–PGE prospect on Disko Island, West Greenland. The basalt unit has a complex magnetization, and we use a constrained 3D magnetic vector inversion to estimate magnetic properties and spatial dimensions of the target unit. Our 3D modelling reveals a horizontal sheet and a strong remanent magnetization component. We highlight the advantage of UAS use in rugged and remote terrain.
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.
Cited articles
Berger, D. and Jokat, W.: A seismic study along the East Greenland margin from 72° N to 77° N, Geophys. J. Int., 174, 733–748, https://doi.org/10.1111/j.1365-246X.2008.03794.x, 2008. a
Blakely, R. J.: Potential Theory on Gravity and Magnetic Applications, Cambridge University Press, https://doi.org/10.1017/CBO9780511549816, 1995. a, b
Brethes, A., Guarnieri, P., Rasmussen, T. M., and Bauer, T. E.: Interpretation of aeromagnetic data in the Jameson Land Basin, central East Greenland: Structures and related mineralized systems, Tectonophysics, 724–725, 116–136, https://doi.org/10.1016/j.tecto.2018.01.008, 2018. a, b
Brozena, J. M.: The Greenland Aerogeophysics Project: Airborne Gravity, Topographic and Magnetic Mapping of an Entire Continent, in: From Mars to Greenland: Charting Gravity With Space and Airborne Instruments, edited by: Colombo, O. L., vol. 110, International Association of Geodesy Symposia, Springer-Verlag, 203–214, https://doi.org/10.1007/978-1-4613-9255-2_19, 1992. a, b
Christiansen, F. G.: Greenland petroleum exploration history: Rise and fall, learnings, and future perspectives, Resour. Policy, 74, 102425, https://doi.org/10.1016/j.resourpol.2021.102425, 2021. a
Damaske, D. and Estrada, S.: Correlation of aeromagnetic signatures and volcanic rocks over Northern Greenland and adjacent Lincon Sea, in: Proceedings of the Fourth International Conference on Arctic Margins, 224–232, https://www.diva-portal.org/smash/get/diva2:207900/FULLTEXT01.pdfVictor#page=234 (last access: 5 March 2026), 2003. a
Damaske, D. and Oakey, G. N.: Volcanogenic Sandstones as Aeromagnetic Markers on Judge Daly Promontory and in Robeson Channel, Northern Nares Strait, Polarforschung, 74, 9–19, 2006. a
Dampney, C. N. G.: The equivalent source technique, Geophysics, 34, 38–53, https://doi.org/10.1190/1.1439996, 1969. a
Drenth, B. J., Heincke, B. H., and Kokfelt, T. F.: Aeromagnetic expression of the central Nagssugtoqidian Orogen, South-East Greenland, Precambrian Res., 391, 107060, https://doi.org/10.1016/j.precamres.2023.107060, 2023. a, b, c
Døssing, A., Hopper, J. R., Olesen, A. V., Rasmussen, T. M., and Halpenny, J.: New aero-gravity results from the Arctic Ocean: Linking the latest Cretaceous-early Cenozoic plate kinematics of the North Atlantic and Arctic Ocean, Geochem. Geophy. Geosy., 14, 4044–4065, https://doi.org/10.1002/ggge.20253, 2013. a
Geissler, W. H., Gaina, C., Hopper, J. R., Funck, T., Blischke, A., Arting, U., Horn, J. A., Peron-Pinvidic, G., and Abdelmalak, M. M.: Seismic volcanostratigraphy of the NE Greenland continental margin, in: The NE Atlantic Region, edited by: Peron-Pinvidic, G., Hopper, J. R., Stoker, M., Gaina, C., Doornenbal, J. C., Funck, T., and Arting, U. E., vol. 447, Geological Society – Special Publication, 149–170, ISBN 978-1-78620-278-9, 2017. a
Golynsky, A. V., Ferraccioli, F., Hong, J. K., Golynsky, D. A., von Frese, R. R. B., Young, D. A., Blankenship, D. D., Holt, J. W., Ivanov, S. V., Kiselev, A. V., Masolov, V. N., Eagles, G., Gohl, K., Jokat, W., Damaske, D., Finn, C., Aitken, A., Bell, R. E., Armadillo, E., Jordan, T. A., Greenbaum, J. S., Bozzo, E., Caneva, G., Forsberg, R., Ghidella, M., Galindo-Zaldivar, J., Bohoyo, F., Martos, Y. M., Nogi, Y., Quartini, E., Kim, H. R., and Roberts, J. L.: New Magnetic Anomaly Map of the Antarctic, Geophys. Res. Lett., 45, 6437–6449, https://doi.org/10.1029/2018GL078153, 2018. a
Heincke, B. H. and Møller Stensgaard, B.: Prospectivity mapping for orogenic gold in South-East Greenland, GEUS Bulletin, 38, 41–44, https://doi.org/10.34194/geusb.v38.4405, 2017. a, b
Heincke, B. H. and Szwillus, W.: GREENMAG – Magnetic anomaly map of Greenland, GEUS DataVerse [data set], https://doi.org/10.22008/FK2/LQN5YJ, 2025. a
Kolb, J.: Structure of the Palaeoproterozoic Nagssugtoqidian orogen, South-East Greenland: model for the tectonic evolution, Precambrian Res., 255, 809–822, https://doi.org/10.1016/j.precamres.2013.12.015, 2014. a
Kolster, M. E., Døssing, A., and Khan, S. A.: Satellite magnetics suggest a complex geothermal heat flux pattern beneath the Greenland Ice Sheet, Remote Sens., 15, https://doi.org/10.3390/rs15051379, 2023. a
Larsen, H. and Thorning, L.: Project EASTMAR: acquisition of high sensitivity aeromagnetic data off East Greenland, Rapport Grønlands Geologiske Undersøgelse, 100, 91–94, https://doi.org/10.34194/rapggu.v100.7707, 1980. a, b
Lesur, V. and Maus, S.: A global lithospheric magnetic field model with reduced noise level in the Polar Regions, Geophys. Res. Lett., 33, L13304, https://doi.org/10.1029/2006GL025826, 2006. a
Lesur, V., Hamoudi, M., Choi, Y., Dyment, J., and Thébault, E.: Building the second version of the World Digital Magnetic Anomaly Map (WDMAM), Earth Planets Space, 68, 1–13, https://doi.org/10.1186/s40623-016-0404-6, 2016. a
Li, Y. and Oldenburg, D. W.: Rapid construction of equivalent sources using wavelets, Geophysics, 75, L51–L59, https://doi.org/10.1190/1.3378764, 2010. a
MacGregor, J. A., Colgan, W. T., Paxman, G. J. G., Tinto, K. J., Csathó, B., Darbyshire, F. A., Fahnestock, M. A., Kokfelt, T. F., MacKie, E. J., Morlighem, M., and Sergienko, O. V.: Geologic Provinces Beneath the Greenland Ice Sheet Constrained by Geophysical Data Synthesis, Geophys. Res. Lett., 51, 1–11, https://doi.org/10.1029/2023GL107357, 2024. a
Martos, Y. M., Jordan, T. A., Catalán, M., Jordan, T. M., Balmer, J. L., and Vaughan, D. G.: Geothermal Heat Flux Reveals the Iceland Hotspot Track Underneath Greenland, Geophys. Res. Lett., 45, 8214–8222, https://doi.org/10.1029/2018GL078289, 2018. a
Matzka, J., Rasmussen, T. M., Olesen, A. V., Nielsen, J. E., Forsberg, R., Olsen, N., Halpenny, J., and Verhoef, J.: A new aeromagnetic survey of the North Pole and the Arctic Ocean north of Greenland and Ellesmere Island, Earth Planets Space, 62, 829–832, https://https://doi.org/10.5047/eps.2010.07.002, 2010. a
Meyer, B., Chulliat, A., and Saltus, R.: Derivation and Error Analysis of the Earth Magnetic Anomaly Grid at 2 arc min Resolution Version 3 (EMAG2v3), Geochem. Geophy. Geosy. 18, 4522–4537, https://doi.org/10.1002/2017GC007280, 2017. a
Meyer, U., Damaske, D., Steinhage, D., Nixdorf, U., and Miller, H.: First highlights from the NOGRAM'98 – Northern Gravity, Radio Echo Sounding and Magnetics, Polarforschung, 69, 25–33, 2001. a
Nasuti, A. and Olesen, O.: Chapter 4: Magnetic Data, in: Tectonostratigraphic Atlas of the North-East Atlantic Region, edited by: Hopper, J. R., Funck, T., Stoker, M., Arting, U., Peron-Pinvidic, G., Doornenbal, H., and Gaina, C., NAG-TEC Group, 41–51, ISBN 978 87 7871 378 0, https://doi.org/10.22008/FK2/ZZQRQ1, 2014. a, b
Nelson, B., Hardwick, D., Forsyth, D., Bower, M., Marcotte, D., MacPherson, M., Macnab, R., and Teskey, D.: Preliminary analysis of data from the Lincoln Sea surveys 1989–1990, Current Research, Part B, Geological Survey of Canada, Paper 91-1B, 15–21, 1991. a
Oakey, G. N. and Damaske, D.: Continuity of Basement Structures and Dyke Swarms in the Kane Basin Region of Central Nares Strait Constrained by Aeromagnetic Data, Polarforschung, 74, 51–62, 2006. a
Olsen, N., Ravat, D., Finlay, C. C., and Kother, L. K.: LCS-1: a high-resolution global model of the lithospheric magnetic field derived from CHAMP and Swarm satellite observations, Geophys. J. Int., 211, 1461–1477, https://doi.org/10.1093/gji/ggx381, 2017. a, b, c
Paige, C. C. and Saunders, M. A.: LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares, ACM T. Math. Software, 8, 43–71, https://doi.org/10.1145/355984.355989, 1982. a
Ravat, D., Whaler, K. A., Pilkington, M., Sabaka, T., and Purucker, M.: Compatibility of high-altitude aeromagnetic and satellite-altitude magnetic anomalies over Canada, Geophysics, 67, 546–554, https://doi.org/10.1190/1.1468615, 2002. a
Riebeek, H.: IceBridge: Building a Record of Earth's Changing Ice, One Flight at a Time, NASA Earth Observatory, https://earthobservatory.nasa.gov/features/IceBridge/page1.php (last access: 5 March 2026), 2011. a
Riisager, P. and Rasmussen, T. M.: Aeromagnetic survey in south-eastern Greenland: project Aeromag 2013, GEUS Bulletin, 31, 63–66, https://doi.org/10.34194/geusb.v31.4662, 2014. a, b, c
Ruppel, A., Damaske, D., and Piepjohn, K.: Aeromagnetic high-resolution survey over the Vendom Fiord region, Ellesmere Island, Canadian High Arctic, in: Circum-Arctic Structural Events: Tectonic Evolution of the Arctic Margins and Trans-Arctic Links with Adjacent Orogens, Geological Society of America, 349–366, https://doi.org/10.1130/2018.2541(17), 2019. a
Schlindwein, V. and Meyer, U.: Aeromagnetic study of the continental crust of north-east Greenland, J. Geophys. Res., 104, 7527–7537, 1999. a
Steenfelt, A., Hollis, J., Kirkland, C. L., Sandrin, A., Gardiner, N. J., Olierook, H. K. H., Szilas, K., Waterton, P., and Yakymchuk, C.: The Mesoarchaean Akia terrane, West Greenland, revisited: New insights based on spatial integration of geophysics, field observation, geochemistry and geochronology, Precambrian Res., 352, 105958, https://doi.org/10.1016/j.precamres.2020.105958, 2021. a
Thorning, L., Bower, L., Hardwick, M., and Hood, P.: Greenland ice cap aeromagnetic survey 1987: completion of the survey over the southern end of the Greenland ice cap, Rapport Grønlands Geologiske Undersøgelse, 140, 70–72, https://doi.org/10.34194/rapggu.v140.8039, 1988. a, b
Wansing, A.: Greenland's lithospheric structure and its implications for geothermal heat flow, PhD thesis, Kiel University, https://macau.uni-kiel.de/receive/macau_mods_00005109 (last access: 5 March 2026), 2024. a
Wansing, A., Ebbing, J., and Moorkamp, M.: The lithospheric structure of Greenland from a stepwise forward and inverse modelling approach, Geophys. J. Int., 238, 719–741, https://doi.org/10.1093/gji/ggae183, 2024. a
Short summary
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.
With over three-quarters of Greenland hidden beneath ice, direct geological observation is...
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