Sensitivity of Mountain Permafrost
to Climate Change
Panorama
Objectives

The SPCC Bündel seeks to understand the permafrost system of the European Alps in an integral way and on different spatial and temporal scales. The following generic questions are posed:

  • To what extent are permafrost dominated periglacial mountain environments sensitive to climate change and how can we describe and quantify the sensitivity of the system (disturbances and reactions)?
  • Which permanent and transient environmental factors dominate the spatio-temporal response to atmospheric forcing? What are the controlling factors for permafrost degradation and aggradation?
  • How do the atmospheric system, subsurface material properties and geomorphic process activity interact?
  • To what extent is mountain permafrost evolution influenced by non-linear threshold and buffer behaviour?
Research topic A: "Climate control"
  • Development of appropriate downscaling techniques to combine Regional Climate Model simulations and high-resolution permafrost subsurface model simulations.
  • Development of a permafrost specific subsurface model for data- and scenario-driven simulations of the mountain permafrost evolution at different test sites.
Research topic B: "Spatio-temporal subsurface characteristics"
  • Mapping of spatial characteristics of permafrost in unconsolidated sediments and solid rocks, and monitoring of spatio-temporal system evolution by combining geomorphological and geophysical techniques.
  • Quantification of frozen subsurface characteristics concerning temperature, ice and unfrozen water content.
Research topic C: "Kinematics and instabilities"
  • Mapping and monitoring of changes in landform geometry in order to quantify process rates (kinematics) for creeping permafrost phenomena, such as rockglaciers and frozen talus slopes as well as permafrost-related rock wall instabilities that result in rock creep, rock block slides and rockfalls.
  • Analysis of spatio-temporal changes in kinematics as well as landform failures by the implementation of temperature data and information on subsurface characteristics to decipher the rheological response.