Data_Sheet_1_Geothermal Heat Flux in Antarctica: Assessing Models and Observations by Bayesian Inversion.PDF
Geothermal heat flux under the Antarctic ice is one of the least known parameters. Different methods (based on e.g., magnetic or seismic data) have been applied in recent years to quantify the thermal structure and the geothermal heat flux, resulting in vastly different estimates. In this study, we...
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Format: | Dataset |
Language: | unknown |
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2020
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Online Access: | https://doi.org/10.3389/feart.2020.00105.s001 https://figshare.com/articles/Data_Sheet_1_Geothermal_Heat_Flux_in_Antarctica_Assessing_Models_and_Observations_by_Bayesian_Inversion_PDF/12162000 |
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author | Mareen Lösing Jörg Ebbing Wolfgang Szwillus |
author_facet | Mareen Lösing Jörg Ebbing Wolfgang Szwillus |
author_sort | Mareen Lösing |
collection | Frontiers: Figshare |
description | Geothermal heat flux under the Antarctic ice is one of the least known parameters. Different methods (based on e.g., magnetic or seismic data) have been applied in recent years to quantify the thermal structure and the geothermal heat flux, resulting in vastly different estimates. In this study, we use a Bayesian Monte-Carlo-Markov-Chain approach to explore the consistency of such models and to which degree lateral variations of the thermal parameters are required. Hereby, we evaluate the input from different lithospheric models and how they influence surface heat flux. We demonstrate that both Curie isotherm and heat production are dominating parameters for the thermal calculation and that use of incorrect models or sparsely available data lead to unreliable results. As an alternative approach, geological information should be coupled with geophysical data analysis, as we demonstrate for the Antarctic Peninsula. |
format | Dataset |
genre | Antarc* Antarctic Antarctic Peninsula Antarctica |
genre_facet | Antarc* Antarctic Antarctic Peninsula Antarctica |
geographic | Antarctic Antarctic Peninsula The Antarctic |
geographic_facet | Antarctic Antarctic Peninsula The Antarctic |
id | ftfrontimediafig:oai:figshare.com:article/12162000 |
institution | Open Polar |
language | unknown |
op_collection_id | ftfrontimediafig |
op_doi | https://doi.org/10.3389/feart.2020.00105.s001 |
op_relation | doi:10.3389/feart.2020.00105.s001 https://figshare.com/articles/Data_Sheet_1_Geothermal_Heat_Flux_in_Antarctica_Assessing_Models_and_Observations_by_Bayesian_Inversion_PDF/12162000 |
op_rights | CC BY 4.0 |
op_rightsnorm | CC-BY |
publishDate | 2020 |
record_format | openpolar |
spelling | ftfrontimediafig:oai:figshare.com:article/12162000 2025-01-16T19:03:45+00:00 Data_Sheet_1_Geothermal Heat Flux in Antarctica: Assessing Models and Observations by Bayesian Inversion.PDF Mareen Lösing Jörg Ebbing Wolfgang Szwillus 2020-04-21T08:59:46Z https://doi.org/10.3389/feart.2020.00105.s001 https://figshare.com/articles/Data_Sheet_1_Geothermal_Heat_Flux_in_Antarctica_Assessing_Models_and_Observations_by_Bayesian_Inversion_PDF/12162000 unknown doi:10.3389/feart.2020.00105.s001 https://figshare.com/articles/Data_Sheet_1_Geothermal_Heat_Flux_in_Antarctica_Assessing_Models_and_Observations_by_Bayesian_Inversion_PDF/12162000 CC BY 4.0 CC-BY Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change heat flux Bayesian inversion Monte-Carlo numerical modeling Antarctica Dataset 2020 ftfrontimediafig https://doi.org/10.3389/feart.2020.00105.s001 2020-04-22T22:53:35Z Geothermal heat flux under the Antarctic ice is one of the least known parameters. Different methods (based on e.g., magnetic or seismic data) have been applied in recent years to quantify the thermal structure and the geothermal heat flux, resulting in vastly different estimates. In this study, we use a Bayesian Monte-Carlo-Markov-Chain approach to explore the consistency of such models and to which degree lateral variations of the thermal parameters are required. Hereby, we evaluate the input from different lithospheric models and how they influence surface heat flux. We demonstrate that both Curie isotherm and heat production are dominating parameters for the thermal calculation and that use of incorrect models or sparsely available data lead to unreliable results. As an alternative approach, geological information should be coupled with geophysical data analysis, as we demonstrate for the Antarctic Peninsula. Dataset Antarc* Antarctic Antarctic Peninsula Antarctica Frontiers: Figshare Antarctic Antarctic Peninsula The Antarctic |
spellingShingle | Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change heat flux Bayesian inversion Monte-Carlo numerical modeling Antarctica Mareen Lösing Jörg Ebbing Wolfgang Szwillus Data_Sheet_1_Geothermal Heat Flux in Antarctica: Assessing Models and Observations by Bayesian Inversion.PDF |
title | Data_Sheet_1_Geothermal Heat Flux in Antarctica: Assessing Models and Observations by Bayesian Inversion.PDF |
title_full | Data_Sheet_1_Geothermal Heat Flux in Antarctica: Assessing Models and Observations by Bayesian Inversion.PDF |
title_fullStr | Data_Sheet_1_Geothermal Heat Flux in Antarctica: Assessing Models and Observations by Bayesian Inversion.PDF |
title_full_unstemmed | Data_Sheet_1_Geothermal Heat Flux in Antarctica: Assessing Models and Observations by Bayesian Inversion.PDF |
title_short | Data_Sheet_1_Geothermal Heat Flux in Antarctica: Assessing Models and Observations by Bayesian Inversion.PDF |
title_sort | data_sheet_1_geothermal heat flux in antarctica: assessing models and observations by bayesian inversion.pdf |
topic | Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change heat flux Bayesian inversion Monte-Carlo numerical modeling Antarctica |
topic_facet | Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change heat flux Bayesian inversion Monte-Carlo numerical modeling Antarctica |
url | https://doi.org/10.3389/feart.2020.00105.s001 https://figshare.com/articles/Data_Sheet_1_Geothermal_Heat_Flux_in_Antarctica_Assessing_Models_and_Observations_by_Bayesian_Inversion_PDF/12162000 |