EGU22-6163
https://doi.org/10.5194/egusphere-egu22-6163
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Sub-seasonal evolution of ice cliffs captured with time-lapse photogrammetry

Marin Kneib1,2, Evan S. Miles1, Pascal Buri1, Stefan Fugger1,2, Michael McCarthy1, Chuanxi Zhao3, Thomas E. Shaw1, Martin Truffer4, Matthew Westoby5, Wei Yang3, and Francesca Pellicciotti1,5
Marin Kneib et al.
  • 1HIMAL group, Swiss Federal Research Institute WSL, 8903 Birmensdorf, Switzerland (marin.kneib@wsl.ch)
  • 2Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, Switzerland
  • 3Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
  • 4Geophysical Institute, University of Alaska Fairbanks, Fairbanks, Alaska, USA
  • 5Department of Geography and Environmental Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK

Ice cliffs are important contributors to the mass balance of debris-covered glaciers, especially in High Mountain Asia where they can account for one sixth of the melt of  debris-covered glacier tongues, despite covering less than 10% of their area. These features have been shown to evolve, appear and disappear rapidly from year to year, with high variability in relative area and number. It has been hypothesized that ice cliffs expand and melt more rapidly during the monsoon (June-September), but there are very few observations during this period. Here, we use arrays of time-lapse cameras to reconstruct the geometry of four ice cliffs at a weekly timestep over a period of four to six months at two monsoon-affected sites: Langtang Glacier in Nepal, and 24K Glacier in South-Eastern Tibet. We use Structure-from-Motion photogrammetry to derive point clouds and Digital Elevation Models (DEMs) of the glacier surface, using the stable background terrain to constrain viewing geometries and DEM errors. This technique (time-lapse photogrammetry) enables a high accuracy, quantitative measurement of processes occurring at the cliff-scale (elevation uncertainties stay below 30cm at a distance of 300m from the cameras) and at high temporal resolution over the monsoon season, when dense cloud cover and intense precipitation prevent field- or satellite-based observations. We derive the melt patterns of these cliffs from the differencing of the weekly DEMs by accounting for glacier flow. We compare the observed melt patterns with the modeled energy-balance at the cliff surface and use these observations to quantify the influence of debris slumping and redistribution, as well as supraglacial ponds and streams on the melt patterns of these cliffs. The results highlight the seasonal variations of cliff melt, which occurs at up to 8 cm/day during the monsoon, twice as high as observed in the pre- and post-monsoon period. Our energy-balance results indicate that melt rates are driven by incoming long- and shortwave radiation, and are thus highly dependent on the cliff slope and aspect, as substantiated by our photogrammetric measurements. The observations also demonstrate the competitive influence of debris, which progressively reburies the cliff by accumulating at its surface, and supraglacial streams and ponds, which maintain the cliff slope by preventing debris accumulation at the base. These results will help in understanding the surface evolution of debris-covered glaciers and enable a better representation of ice cliff melt and evolution in glacio-hydrological models.

How to cite: Kneib, M., Miles, E. S., Buri, P., Fugger, S., McCarthy, M., Zhao, C., Shaw, T. E., Truffer, M., Westoby, M., Yang, W., and Pellicciotti, F.: Sub-seasonal evolution of ice cliffs captured with time-lapse photogrammetry, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6163, https://doi.org/10.5194/egusphere-egu22-6163, 2022.