Glacier collapse refers to a specific glaciological mass failure mechanism
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Peer-reviewed literature discusses glacier collapse within the context of specific glaciological mass failure mechanisms and mechanical modeling, such as elastoplastic contact models of polycrystalline ice and marine ice cliff instabilities.
With the gradual warming of the global climate, the possibility and risk of large-scale sliding and collapse disasters of glaciers, large ice sheets, and thicker ice sheets have increased. Using the discrete element numerical method to analyze glacier stability is of great importance for polar disaster prediction. A contact model, which can accurately reflect the mechanical properties of polycrystalline ice, is key to conducting a discrete element numerical simulation of glacier stability. Based on the results of conventional triaxial compression tests on polycrystalline ice, we proposed an elastoplastic contact model. A custom contact model subroutine (dynamic link library [DLL]) for the two-dimensional particle flow code (PFC2D) was generated using C++. A self-defined contact model subroutine (DLL) was used to simulate the biaxial shear of the flexible film at different temperatures. The numerical simulation results were in good agreement with the experimental results. The proposed contact model accurately reflected the deformation characteristics of polycrystalline ice. Finally, a discrete element numerical simulation of glacier ice collapse was conducted. An elastoplastic contact model of polycrystalline ice was established to provide a numerical basis for glacier stability analysis and multi-field coupling research.
A recent study by Dandabathula et al. attributes the 5 August 2025 Dharali disaster to an ice-patch collapse based largely on satellite imagery. Here, we examine remote sensing and process-attribution uncertainties in that interpretation. The proposed mechanism by Dandabathula et al. lacks spectral validation, geomorphic consistency, volumetric support, and geophysical corroboration. Available independent observations instead indicate rainfall-triggered mobilisation of unconsolidated paraglacial sediments, underscoring the need for rigorous process attribution in Himalayan hazard assessment.
The response of the Antarctic ice sheet (AIS) to changing climate forcings is an important driver of sea-level changes. Anthropogenic climate change may drive a sizeable AIS tipping point response with subsequent increases in coastal flooding risks. Many studies analyzing flood risks use simple models to project the future responses of AIS and its sea-level contributions. These analyses have provided important new insights, but they are often silent on the effects of potentially important processes such as Marine Ice Sheet Instability (MISI) or Marine Ice Cliff Instability (MICI). These approx
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