21 Sep 2022
21 Sep 2022
Status: this preprint is currently under review for the journal TC.

Constraining regional glacier reconstructions using past ice thickness of deglaciating areas – a case study in the European Alps

Christian Sommer1, Johannes Jakob Fürst1, Matthias Huss2,3,4, and Matthias Holger Braun1 Christian Sommer et al.
  • 1Institut für Geographie, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany
  • 2Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland
  • 3Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zürich, Zürich, Switzerland
  • 4Department of Geosciences, University of Fribourg, Fribourg, Switzerland

Abstract. In order to assess future glacier evolution and melt-water runoff, accurate knowledge on the volume and the ice thickness distribution of glaciers is crucial. However, in-situ observations of glacier thickness are sparse in many regions worldwide due to challenging field surveys. This lack of in-situ measurements can be partially overcome by remote sensing information. Multi-temporal and contemporaneous data on glacier extent and surface elevation provide past information on ice thickness for retreating glaciers in the newly deglacierized regions. Yet, these observations are concentrated near the glacier snouts, which is disadvantageous because it is known to introduce biases in ice thickness reconstruction approaches. Here, we show a strategy to overcome this generic limitation of so-called “retreat” thickness observations by applying an empirical relationship between the ice viscosity at locations with in-situ observations and observations from DEM-differencing at the glacier margins. Various datasets from the European Alps are combined to model the ice thickness distribution of Alpine glaciers for two timesteps (1970 & 2003) based on observed thickness in regions uncovered from ice during the study period. Our results show that the average ice thickness would be substantially underestimated (~40 %) when relying solely on thickness observations from previously glacierized areas. Thus, a transferable topography-based viscosity scaling is developed to correct the modeled ice thickness distribution. It is shown that the presented approach is able to reproduce region-wide glacier volumes, while larger uncertainties remain at a local scale, and thus might represent a powerful tool for application in regions with sparse observations. Additionally, we derive a volume of 125.4±24.7 km3 in the 1970s for glaciers in the Swiss and Austrian Alps.

Christian Sommer et al.

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-2022-157', Kay Helfricht, 08 Nov 2022
    • AC2: 'Reply on RC1', Christian Sommer, 20 Jan 2023
  • RC2: 'Comment on tc-2022-157', Samuel Cook, 16 Nov 2022
    • AC1: 'Reply on RC2', Christian Sommer, 20 Jan 2023

Christian Sommer et al.

Christian Sommer et al.


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Short summary
Knowledge on the volume of glaciers is important to project future runoff. Here, we present a novel approach to reconstruct the regional ice thickness distribution from easy available remote sensing data. We show that past ice thickness, derived from space-borne glacier area and elevation datasets, can constrain the estimated ice thickness. Based on the unique glaciological database of the European Alps, the approach will be most beneficial in regions without direct thickness measurements.