ID:
publications-1755
Type:
Peer reviewed articles
Year:
2021
Authors:
Kneib M, Miles E, Buri P, Molnar P, McCarthy M, Fugger S, Pellicciotti F
Title:
Interannual dynamics of ice cliff populations on debris-covered glaciers from remote sensing observations and stochastic modeling
Venue/Journal:
Journal of Geophysical Research: Earth Surface
DOI:
10.1029/2021jf006179
Research type:
Simulation & Modeling
Water System:
Hydropower Dams & reservoirs
Technical Focus:
Abstract:
AbstractIce cliffs are common on debrisâcovered glaciers and have relatively high melt rates due to their direct exposure to incoming radiation. Previous studies have shown that their number and relative area can change considerably from year to year, but this variability has not been explored, in part because available cliff observations are irregular. Here, we systematically mapped and tracked ice cliffs across four debrisâcovered glaciers in High Mountain Asia for every late ablation season from 2009 to 2019 using highâresolution multiâspectral satellite imagery. We then quantified the processes occurring at the feature scale to train a stochastic birthâdeath model to represent the cliff population dynamics. Our results show that while the cliff relative area can change by up to 20% from year to year, the natural longâterm variability is constrained, thus defining a glacierâspecific cliff carrying capacity. In a subsequent step, the inclusion of external drivers related to climate, glacier dynamics, and hydrology highlights the influence of these variables on the cliff population dynamics, which is usually not a direct one due to the complexity and interdependence of the processes taking place at the glacier surface. In some extreme cases (here, a glacier surge), these external drivers may lead to a reorganization of the cliffs at the glacier surface and a change in the natural variability. These results have implications for the melt of debrisâcovered glaciers, in addition to showing the high rate of changes at their surface and highlighting some of the links between cliff population and glacier state.
Link with Projects:
772751
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