Snow is a warm, porous material whose densification under its own weight is highly temperature-dependent. Despite decades of research, reported activation energies for snow viscoplasticity remain highly scattered, ranging from 40 to 600 kJ mol-1. We quantified the temperature dependence of snow viscoplasticity using in-tomograph creep experiments with a newly developed thermo-mechanical cell. This design allows accurate load and temperature control, micrometric displacement measurement, and microstructural evolution monitoring via X-ray tomography. To disentangle microstructural evolution and temperature effects on the compression rate, we used a state-of-the-art viscoplastic model. We conducted five experiments on centimetre-scale samples of decomposing and fragmented precipitation particles with initial densities ranging from 278 to 320 kg m-3 under an applied stress of 1.25 kPa. Each experiment comprised five temperature steps from -6 to -18°C, each lasting one day, and resulted in a mean final vertical strain of 4%. We show that the viscoplastic response follows a two-regime Arrhenius law, with activation energies Qh = 126 ± 6 kJ mol-1 for temperatures above -13 ± 1°C and Ql = 51 ± 18 kJ mol-1 below. This temperature sensitivity matches that reported for polycrystalline ice but is greater than that used in detailed snowpack models.
No takes yet. Share an insight, caveat, or question.
Védrine et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: