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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