Satellite Magnetics Suggest a Complex Geothermal Heat Flux Pattern beneath the Greenland Ice Sheet
Geothermal heat flow is key to unraveling several large-scale geophysical systems, including the inner workings of the Greenlandic ice sheet, and by extension, the possibility of understanding the past and prior global climate. Similarly, it could provide insight into the paleo-trace of the Icelandi...
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Online Access: | https://doi.org/10.3390/rs15051379 https://doaj.org/article/a9d89f721d7f45579c6a99afb837e416 |
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ftdoajarticles:oai:doaj.org/article:a9d89f721d7f45579c6a99afb837e416 2023-05-15T16:23:53+02:00 Satellite Magnetics Suggest a Complex Geothermal Heat Flux Pattern beneath the Greenland Ice Sheet Mick Emil Kolster Arne Døssing Shfaqat Abbas Khan 2023-02-01T00:00:00Z https://doi.org/10.3390/rs15051379 https://doaj.org/article/a9d89f721d7f45579c6a99afb837e416 EN eng MDPI AG https://www.mdpi.com/2072-4292/15/5/1379 https://doaj.org/toc/2072-4292 doi:10.3390/rs15051379 2072-4292 https://doaj.org/article/a9d89f721d7f45579c6a99afb837e416 Remote Sensing, Vol 15, Iss 1379, p 1379 (2023) probabilistic inversion icelandic plume trace geothermal heat flux Greenland satellite magnetic data Northeast Greenland Ice Stream Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15051379 2023-03-12T01:28:58Z Geothermal heat flow is key to unraveling several large-scale geophysical systems, including the inner workings of the Greenlandic ice sheet, and by extension, the possibility of understanding the past and prior global climate. Similarly, it could provide insight into the paleo-trace of the Icelandic mantle plume, which in turn is integral in answering long-standing questions on the origin of mountains in western and eastern Greenland and in Norway. This study documents the results from an intra-scientific field approach, which combines geological, petrophysical, and satellite magnetic field data in a nonlinear probabilistic inversion. These results include Curie depths with associated uncertainties and Geothermal Heat Flux estimates. While baselines remain challenging to evaluate due to the strong nonlinearity of the problem posed, stress testing reveals a high robustness of the predicted spatial variations, which largely disagree with the classic straightforward northwest–southeast or east–west plume trace across Greenland. Instead, our results indicate a complex heat flux pattern, including a localized region with anomalously heightened heat flux near the origin of the Northeast Greenland Ice Stream. Article in Journal/Newspaper Greenland greenlandic Ice Sheet Directory of Open Access Journals: DOAJ Articles Greenland Norway Remote Sensing 15 5 1379 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
probabilistic inversion icelandic plume trace geothermal heat flux Greenland satellite magnetic data Northeast Greenland Ice Stream Science Q |
spellingShingle |
probabilistic inversion icelandic plume trace geothermal heat flux Greenland satellite magnetic data Northeast Greenland Ice Stream Science Q Mick Emil Kolster Arne Døssing Shfaqat Abbas Khan Satellite Magnetics Suggest a Complex Geothermal Heat Flux Pattern beneath the Greenland Ice Sheet |
topic_facet |
probabilistic inversion icelandic plume trace geothermal heat flux Greenland satellite magnetic data Northeast Greenland Ice Stream Science Q |
description |
Geothermal heat flow is key to unraveling several large-scale geophysical systems, including the inner workings of the Greenlandic ice sheet, and by extension, the possibility of understanding the past and prior global climate. Similarly, it could provide insight into the paleo-trace of the Icelandic mantle plume, which in turn is integral in answering long-standing questions on the origin of mountains in western and eastern Greenland and in Norway. This study documents the results from an intra-scientific field approach, which combines geological, petrophysical, and satellite magnetic field data in a nonlinear probabilistic inversion. These results include Curie depths with associated uncertainties and Geothermal Heat Flux estimates. While baselines remain challenging to evaluate due to the strong nonlinearity of the problem posed, stress testing reveals a high robustness of the predicted spatial variations, which largely disagree with the classic straightforward northwest–southeast or east–west plume trace across Greenland. Instead, our results indicate a complex heat flux pattern, including a localized region with anomalously heightened heat flux near the origin of the Northeast Greenland Ice Stream. |
format |
Article in Journal/Newspaper |
author |
Mick Emil Kolster Arne Døssing Shfaqat Abbas Khan |
author_facet |
Mick Emil Kolster Arne Døssing Shfaqat Abbas Khan |
author_sort |
Mick Emil Kolster |
title |
Satellite Magnetics Suggest a Complex Geothermal Heat Flux Pattern beneath the Greenland Ice Sheet |
title_short |
Satellite Magnetics Suggest a Complex Geothermal Heat Flux Pattern beneath the Greenland Ice Sheet |
title_full |
Satellite Magnetics Suggest a Complex Geothermal Heat Flux Pattern beneath the Greenland Ice Sheet |
title_fullStr |
Satellite Magnetics Suggest a Complex Geothermal Heat Flux Pattern beneath the Greenland Ice Sheet |
title_full_unstemmed |
Satellite Magnetics Suggest a Complex Geothermal Heat Flux Pattern beneath the Greenland Ice Sheet |
title_sort |
satellite magnetics suggest a complex geothermal heat flux pattern beneath the greenland ice sheet |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15051379 https://doaj.org/article/a9d89f721d7f45579c6a99afb837e416 |
geographic |
Greenland Norway |
geographic_facet |
Greenland Norway |
genre |
Greenland greenlandic Ice Sheet |
genre_facet |
Greenland greenlandic Ice Sheet |
op_source |
Remote Sensing, Vol 15, Iss 1379, p 1379 (2023) |
op_relation |
https://www.mdpi.com/2072-4292/15/5/1379 https://doaj.org/toc/2072-4292 doi:10.3390/rs15051379 2072-4292 https://doaj.org/article/a9d89f721d7f45579c6a99afb837e416 |
op_doi |
https://doi.org/10.3390/rs15051379 |
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Remote Sensing |
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15 |
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5 |
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1379 |
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