Understanding the Energy Balance of Vertical Ice Cliffs

Abstract ID: 3.12324 | Accepted as Talk | Talk/Oral | TBA | TBA

Marie Schroeder (0)
Prinz, Rainer, Abermann, Jakob (1), Steiner, Jakob (1), Stiperski, Ivana, Winkler, Michael (2)
Marie Schroeder ((0) Universität Innsbruck, Innrain 52, 6020, Innsbruck, Tirol, AT)
Prinz, Rainer, Abermann, Jakob (1), Steiner, Jakob (1), Stiperski, Ivana, Winkler, Michael (2)

(0) Universität Innsbruck, Innrain 52, 6020, Innsbruck, Tirol, AT
(1) University of Graz
(2) Avalanch Warning Service Tyrol

(1) University of Graz
(2) Avalanch Warning Service Tyrol

Categories: Atmosphere, Cryo- & Hydrosphere
Keywords: Turbulent Fluxes, Energy Balance, Ice Cliff

Categories: Atmosphere, Cryo- & Hydrosphere
Keywords: Turbulent Fluxes, Energy Balance, Ice Cliff

Land-terminating ice cliffs are rare but significant features of glacier surfaces, where atmosphere-cryosphere interactions are intensified by the cliffs’ vertical structure. While traditional glacier mass balance models often assume a relatively uniform, sloped surface, ice cliffs present distinct wind and radiative conditions that challenge this assumption. Due to their different exposure to radiative fluxes and the modulation of turbulent heat fluxes, ice cliffs can contribute disproportionately to glacier ablation, yet their representation in mass balance models remains limited.
To improve process-based understanding of glacier-atmosphere coupling at ice cliffs, we analyze turbulence and microclimate data from two contrasting sites: northern Greenland and Kilimanjaro. By integrating these insights into an energy balance framework, we aim to understand the representation of turbulent fluxes and their impact on ice cliff melt. The COSIPY mass balance model is applied to both the vertical ice cliff and the adjacent flat glacier surface, incorporating adaptations for the unique challenges of a steep ice wall. This approach enables an assessment of the differences in ablation drivers between the two regimes. This work advances our ability to model ice cliff mass balance by improving the parameterization of energy exchange processes. A better understanding of these processes is crucial for projecting the transient response of glaciers to climate change and refining energy balance models to account for complex surface geometries.

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