Heat Flow in Southern Australia and Connections With East Antarctica

Pollett, Alicia; Hasterok, Derrick; Raimondo, Tom; Halpin, Jacqueline A.; Hand, Martin; Bendall, Betina; McLaren, Sandra

doi:10.1029/2019gc008418

Cited by 22 publications

(26 citation statements)

References 114 publications

(182 reference statements)

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“…Plate tectonic reconstructions indicate that the subglacial geology of East Antarctica is comparable to the margins of Australia, Africa, and India (Aitken et al, 2016;Daczko et al, 2018;Ferraccioli et al, 2011;Flowerdew et al, 2013;Mulder et al, 2019). By kriging the heat flow measurements of the continents in their pre-Gondwana breakup arrangement, Pollett et al (2019) interpolated a heat flow surface through Antarctica and its conjugate margins (Fig. 11).…”

Section: Conjugate Margin-derived Estimatesmentioning

confidence: 99%

Review article: Geothermal heat flow in Antarctica: current and future directions

2020

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Abstract. Antarctic geothermal heat flow (GHF) affects the temperature of the ice sheet, determining its ability to slide and internally deform, as well as the behaviour of the continental crust. However, GHF remains poorly constrained, with few and sparse local, borehole-derived estimates and large discrepancies in the magnitude and distribution of existing continent-scale estimates from geophysical models. We review the methods to estimate GHF, discussing the strengths and limitations of each approach; compile borehole and probe-derived estimates from measured temperature profiles; and recommend the following future directions. (1) Obtain more borehole-derived estimates from the subglacial bedrock and englacial temperature profiles. (2) Estimate GHF from inverse glaciological modelling, constrained by evidence for basal melting and englacial temperatures (e.g. using microwave emissivity). (3) Revise geophysically derived GHF estimates using a combination of Curie depth, seismic, and thermal isostasy models. (4) Integrate in these geophysical approaches a more accurate model of the structure and distribution of heat production elements within the crust and considering heterogeneities in the underlying mantle. (5) Continue international interdisciplinary communication and data access.

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Section: Conjugate Margin-derived Estimatesmentioning

confidence: 99%

Review article: Geothermal heat flow in Antarctica: current and future directions

2020

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“…<66 Ma) may be in a transient rather steady-state thermal regime, so this approach may have challenges in West Antarctica. Steady-state thermal modelling is thus more applicable to the old, stable crust of East Antarctica; particularly if the heat flow and isostasy of the conjugate margins are considered (Hasterok and Gard, 2016;Pollett et al, 2019). However, differences between the crustal thickness based on gravity modelling and isostatic elevation modelling may indicate variable densities and/or compositions of the underlying mantle (Pappa et al, 2019b(Pappa et al, , 2019a).…”

Section: Isostatic Elevationmentioning

confidence: 99%

“…Finally, it is important to compare Antarctica with its conjugate margins (e.g. Pollett et al, 2019), where GHF and crustal structure are better constrained. This provides constraints on the GHF along the margins of East Antarctica, as well as informing on the geology beneath the ice sheet.…”

Section: Geophysical Ghf Estimatesmentioning

confidence: 99%

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Geothermal heat flow in Antarctica: current and future directions

Burton‐Johnson

Dziadek

Martín

2020

Preprint

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Abstract. Antarctic geothermal heat flow (GHF) affects the temperature of the ice sheet, determining its ability to slide and internally deform, as well as the behaviour of the continental crust. However, GHF remains poorly constrained, with few and sparse local, borehole-derived estimates, and large discrepancies in the magnitude and distribution of existing continent-scale estimates from geophysical models. We review the methods to extract GHF, compile borehole and probe-derived estimates from measured temperature profiles, and recommend the following future directions: 1) Obtain more borehole-derived estimates from the subglacial bedrock and englacial temperature profiles. 2) Estimate GHF beneath the interior of the East Antarctic Ice Sheet (the region most sensitive to GHF variation) via long-wavelength microwave emissivity. 3) Estimate GHF from inverse glaciological modelling, constrained by evidence for basal melting. 4) Revise geophysically-derived GHF estimates using a combination of Curie depth, seismic, and thermal isostasy models. 5) Integrate in these geophysical approaches a more accurate model of the structure and distribution of heat production elements within the crust, and considering heterogeneities in the underlying mantle. And 6) continue international interdisciplinary communication and data access.

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“…In the case of Antarctica with a sparse knowledge about tectonics, composition, and heat flux, every indication of a more natural (and not apparently random or laterally constant) distribution of thermal parameters can be seen as an improvement. Pollett et al (2019) interpreted measurements of GHF in a Gondwana framework by kriging interpolation. Such interpolation with sparse data points results in high uncertainties.…”

Section: Discussionmentioning

confidence: 99%

Geothermal Heat Flux in Antarctica: Assessing Models and Observations by Bayesian Inversion

2020

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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.

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Heat Flow in Southern Australia and Connections With East Antarctica

Cited by 22 publications

References 114 publications

Review article: Geothermal heat flow in Antarctica: current and future directions

Review article: Geothermal heat flow in Antarctica: current and future directions

Geothermal heat flow in Antarctica: current and future directions

Geothermal Heat Flux in Antarctica: Assessing Models and Observations by Bayesian Inversion

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