Published September 7, 2025 | Version v1

Stable isotopes as a proxy for assessing geothermal heat flow in Greenland

Authors/Creators

  • 1. ROR icon University of Bergen
  • 1. Centre d'études de la neige / Meteo France
  • 2. University of Bergen
  • 3. ROR icon Bavarian Academy of Sciences and Humanities

Description

Data supplement to Gradl et al. (2026): 

Datasets produced for the 7 GHF estimates used in the study (Colgan22, Colgan22NG, FMaule09, Greve19, Lucazeau19, Martos18, Shapiro04).

txt files were created via numpy.savetxt() and can be recovered via numpy.loadtxt()

npy files were created via numpy.save() and can be recovered via numpy.load()

coordinates2d_xy.txt contains the x,y coordinates of the mesh vertices of the ISSM model used in the study. Variables in all other files map onto these coordinates.

GrLBasalHydroPotential.txt contains the modelled estimates of the basal hydropotential following the Shreve approximation for six different floatation fractions (0.6-1.1).

melt_age_iso.txt files contain the modelled estimates of the basal meltrate, the age of the basal ice and the isotope composition of the basal ice.

BasalWaterIso.txt files contain the modelled estimates of the isotope composition of the mixed basal meltwater for the six different floatation fractions used.

BasalUpstreamArea.txt files contain the modelled estimates of the accumulated upstream area at for the different floatations.

BasalWaterFlux.txt files contain the modelled estimates of the area-normalized water flux in the subglacial drainage system for the different floatations. 

BasalUniformRouting.npy files contain the values of the modelled maximum subglacial drainage system as shown in Fig. S4 in the article supplement.

See BasalUniformRouting_README.txt file in the github repo (https://github.com/jakobgradl/isotopes_and_ghf) for further information on these files.

Files

Colgan22_BasalUpstreamArea.txt

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Additional details

Dates

Created
2023-05-31

Software

References

  • Colgan, W., Wansing, A., Mankoff, K., L¨osing, M., Hopper, J., Louden, K., et al. (2022). Greenland geothermal heat flow database and map (version 1). Earth System Science Data 14, 2209–2238. doi:10.5194/essd-14-2209-2022
  • Fox Maule, C., E. Purucker, M., and Olsen, N. (2009). Inferring magnetic crustal thickness and geothermal heat flux from crustal magnetic field models. Danish Climate Centre Report 09-09
  • Greve, R. (2019). Geothermal heat flux distribution for the greenland ice sheet, derived by combining a global representation and information from deep ice cores. Polar Data Journal 3, 22–36. doi:https://doi.org/10.20575/00000006
  • Lucazeau, F. (2019). Analysis and mapping of an updated terrestrial heat flow data set. Geochemistry, Geophysics, Geosystems 20, 4001–4024. doi:https://doi.org/10.1029/2019GC008389
  • Martos, Y. M., Jordan, T. A., Catal´an, M., Jordan, T. M., Bamber, J. L., and Vaughan, D. G. (2018). Geothermal heat flux reveals the iceland hotspot track underneath greenland. Geophysical Research Letters 45, 8214–8222. doi:https://doi.org/10.1029/2018GL078289
  • Seibert, J. and McGlynn, B. L. (2007). A new triangular multiple flow direction algorithm for computing upslope areas from gridded digital elevation models. Water Resources Research 43. doi:https://doi.org/10.1029/2006WR005128
  • Shapiro, N. M. and Ritzwoller, M. H. (2004). Inferring surface heat flux distributions guided by a global seismic model: particular application to antarctica. Earth and Planetary Science Letters 223, 213–224. doi:https://doi.org/10.1016/j.epsl.2004.04.011