Preprints
https://doi.org/10.5194/tc-2023-51
https://doi.org/10.5194/tc-2023-51
06 Apr 2023
 | 06 Apr 2023
Status: this preprint is currently under review for the journal TC.

Coupled thermo-geophysical inversion for permafrost monitoring

Soňa Tomaškovičová and Thomas Ingeman-Nielsen

Abstract. Conventional approaches in permafrost monitoring, including thermal measurements, core analyses and borehole geophysical logs, have drawbacks for long-term predictions of permafrost thermal state because of their discrete character and high cost. In order to accurately simulate and forecast thermal regime of the active layer and permafrost at a comparatively lower cost, we combined traditional thermal measurements with surface geophysical acquisitions. The fully coupled inversion scheme used only ground surface temperature data and time lapse geoelectrical measurements to calibrate a heat conduction model. The apparent resistivity data were incorporated into the coupled framework without being inverted separately, thus reducing the uncertainty inevitably associated with inverted resistivity models, especially on challenging permafrost terrain. The fully coupled modeling framework using field data achieved performance comparable to calibration on borehole temperature records, in terms of model fit within 0.6 °C, inversion convergence metrics as well as the predictive performance of the calibrated model.

Soňa Tomaškovičová and Thomas Ingeman-Nielsen

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2023-51', Anonymous Referee #1, 14 May 2023
    • AC1: 'Reply on RC1', Soňa Tomaškovičová, 01 Jun 2023
  • RC2: 'Comment on tc-2023-51', Anonymous Referee #2, 15 May 2023
    • AC2: 'Reply on RC2', Soňa Tomaškovičová, 01 Jun 2023

Soňa Tomaškovičová and Thomas Ingeman-Nielsen

Soňa Tomaškovičová and Thomas Ingeman-Nielsen

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Short summary
We present the results of a fully coupled modeling framework for simulating the ground thermal regime using only surface measurements to calibrate the thermal model. The heat model is forced by surface ground temperature measurements, and calibrated using field measurements of time lapse apparent electrical resistivity. The resistivity-calibrated heat model achieves performance comparable to the traditional calibration on borehole temperature measurements.