ClimateOpenAlex

Ranked by formulaVerdict: Notable

Temperature sensitivity of snow viscoplasticity: Evidence from controlled creep experiments

By Védrine, Brun, Bozon +2˜The œcryosphere

Score████░░░░░░4.3

VerdictWorth a reader's time today.

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Abstract

Abstract. 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.

Louis Védrine, Marius Brun, Mathis Bozon, Benoît Laurent, Pascal Hagenmuller

The editor's rubric

Heuristic review

DimensionLevelWeightWhat that level means
Leverage███░░ 316%A method or resource many groups across the field will adopt within a year.
Magnitude███░░ 320%Large gain: roughly 2x, or a clear new state of the art on a hard, unsaturated problem.
Evidence███░░ 320%Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
Novelty███░░ 310%A genuinely new approach to an open problem.
Trajectory██░░░ 214%Some room to improve with obvious engineering.
Stakes██░░░ 220%Benefits a professional community (practitioners, clinicians, engineers).

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: method (we report); gains (state of the art); novelty (open problem); verification (error bars); scale (scalable).

How the score was computed

rank-2026-10-07

Score████░░░░░░4.3

Score = 10 × (75% × adjusted merit / 10 + 15% × attention + 10% × freshness)

Merit
5.3 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.5 / 10
Shrunk toward the desk prior by editor confidence (40%).
Attention
0%
Citations, upvotes, points, mentions.
Freshness
85%
Half-life decay since publication.
  • Citations0 (reference 15, via openalex, Oct 14, 2026, 07:30 UTC)

The record

  • Reviewed by heuristic-v6 on Oct 14, 2026, 07:29 UTC. Paper type: method.
  • Categories: Cryospheric studies and observations, Landslides and related hazards, Geotechnical Engineering and Soil Mechanics, Atmospheric Science, Earth and Planetary Sciences
  • BRIEF, No.3 in the Climate & Energy edition of October 14, 2026.