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Antarctic Geothermal Heat Flow Model: Aq1


Staal, T and Reading, AM and Halpin, JA and Whittaker, J, Antarctic Geothermal Heat Flow Model: Aq1, Geochemistry, Geophysics, Geosystems, 22, (2) Article e2020GC009428. ISSN 1525-2027 (2021) [Refereed Article]


Copyright Statement

Copyright 2020 American Geophysical Union

DOI: doi:10.1029/2020GC009428


We present a refined map of geothermal heat flow for Antarctica, Aq1, based on multiple observables. The map is generated using a similarity detection approach by attributing observables from geophysics and geology to a large number of high‐quality heat flow values (N = 5,792) from other continents. Observables from global, continental, and regional datasets for Antarctica are used with a weighting function that allows the degree of similarity to increase with proximity and how similar the observables are. The similarity detection parameters are optimized through cross correlation. For each grid cell in Antarctica, a weighted average heat flow value and uncertainty metrics are calculated. The Aq1 model provides higher spatial resolution in comparison to previous results. High heat flow is shown in the Thwaites Glacier region, with local values over 150 mW m−2. We also map elevated values over 80 mW m−2 in Palmer Land, Marie Byrd Land, Victoria Land and Queen Mary Land. Very low heat flow is shown in the interior of Wilkes Land and Coats Land, with values under 40 mW m−2. We anticipate that the new geothermal heat flow map, Aq1, and its uncertainty bounds will find extended use in providing boundary conditions for ice sheet modeling and understanding the interactions between the cryosphere and solid Earth. The computational framework and open architecture allow for the model to be reproduced, adapted and updated with additional data, or model subsets to be output at higher resolution for regional studies.

Item Details

Item Type:Refereed Article
Keywords:heat flow, Antarctica, multivariate
Research Division:Engineering
Research Group:Fluid mechanics and thermal engineering
Research Field:Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Understanding climate change
Objective Field:Effects of climate change on Antarctic and sub-Antarctic environments (excl. social impacts)
UTAS Author:Staal, T (Dr Tobias Staal)
UTAS Author:Reading, AM (Professor Anya Reading)
UTAS Author:Halpin, JA (Dr Jacqueline Halpin)
UTAS Author:Whittaker, J (Associate Professor Jo Whittaker)
ID Code:143094
Year Published:2021 (online first 2020)
Web of Science® Times Cited:12
Deposited By:Earth Sciences
Deposited On:2021-02-25
Last Modified:2022-08-23
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