Preprints
https://doi.org/10.5194/tc-2021-161
https://doi.org/10.5194/tc-2021-161

  12 Jul 2021

12 Jul 2021

Review status: this preprint is currently under review for the journal TC.

Ice volume and basal topography estimation using geostatistical methods and GPR measurements : Application on the Tsanfleuron and Scex Rouge glacier, Swiss Alps

Alexis Neven1,, Valentin Dall'Alba1,, Przemysław Juda1, Julien Straubhaar1, and Philippe Renard1,2 Alexis Neven et al.
  • 1Centre of Hydrogeology and Geothermics, University of Neuchâtel, Switzerland
  • 2Department of Geosciences, University of Oslo, Oslo, Norway
  • These authors contributed equally to this work.

Abstract. Ground Penetrating Radar (GPR) is nowadays widely used for determining glacier thickness. However, this method provides thickness data only along the acquisition lines and therefore interpolation has to be made between them. Depending on the interpolation strategy, calculated ice volumes can differ and can lack an accurate error estimation. Furthermore, glacial basal topography is often characterized by complex geomorphological features, which can be hard to reproduce using classical interpolation methods, especially when the conditioning data are sparse or when the morphological features are too complex. This study investigates the applicability of multiple-point statistics (MPS) simulations to interpolate glacier bedrock topography using GPR measurements. In 2018, a dense GPR data set was acquired on the Tsanfleuron Glacier (Switzerland). The results obtained with the direct sampling MPS method are compared against those obtained with kriging and sequential Gaussian simulations (SGS) on both a synthetic data set – with known reference volume and bedrock topography – and the real data underlying the Tsanfleuron glacier. Using the MPS modelled bedrock, the ice volume for the Scex Rouge and Tsanfleuron Glacier is estimated to be 113.9 ± 1.6 Mio m3. The direct sampling approach, unlike the SGS and the kriging, allowed not only an accurate volume estimation but also the generation of a set of realistic bedrock simulations. The complex karstic geomorphological features are reproduced, and can be used to significantly improve for example the precision of under-glacial flow estimation.

Alexis Neven et al.

Status: open (until 06 Sep 2021)

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Alexis Neven et al.

Alexis Neven et al.

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Short summary
The manuscript presents and compares different geostatistical methods for underglacial bedrock interpolation. Variogram-based interpolations are compared with a Multipoint Statistics approach both on test cases and real glaciers. Using the modeled bedrock, the ice volume for the Scex rouge and Tsanfleuron Glacier (Swiss Alps) was estimated to be 113.9 ± 1.6 Mio m3. Complex karstic geomorphological features are reproduced and can be used to improve the precision of under-glacial flow estimation.