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Articles | Volume 15, issue 4
Articles | Volume 15, issue 4
https://doi.org/10.5194/se-15-513-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-15-513-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 4
Research article
 | 
09 Apr 2024
Research article |  | 09 Apr 2024

Statistical appraisal of geothermal heat flow observations in the Arctic

Judith Freienstein, Wolfgang Szwillus, Agnes Wansing, and Jörg Ebbing

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Cited articles

Afonso, J., Fullea, J., Griffin, W., Yang, Y., Jones, A., Connolly, J. D., and O'Reilly, S.: 3-D multiobservable probabilistic inversion for the compositional and thermal structure of the lithosphere and upper mantle. I: A priori petrological information and geophysical observables, J. Geophys. Res.-Solid, 118, 2586–2617, 2013. a, b
Afonso, J. C., Salajegheh, F., Szwillus, W., Ebbing, J., and Gaina, C.: A global reference model of the lithosphere and upper mantle from joint inversion and analysis of multiple data sets, Geophys. J. Int., 217, 1602–1628, 2019. a, b, c, d, e, f
Artemieva, I. M.: Lithosphere thermal thickness and geothermal heat flux in Greenland from a new thermal isostasy method, Earth-Sci. Rev., 188, 469–481, 2019. a, b
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Geothermal heat flow influences ice sheet dynamics, making its investigation important for ice-covered regions. Here we evaluate the sparse measurements for their agreement with regional solid Earth models, as well as with a statistical approach. This shows that some points should be excluded from regional studies. In particular, the NGRIP point, which strongly influences heat flow maps and the distribution of high basal melts, should be statistically considered an outlier.
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