Berlin 2018 – scientific programme
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DY: Fachverband Dynamik und Statistische Physik
DY 24: Complex Systems
DY 24.4: Talk
Tuesday, March 13, 2018, 10:45–11:00, BH-N 128
Stochastic Analysis of Snow Layers — •Pyei Phyo Lin1, Joachim Peinke1, Matthias Wächter1, Isabel Peinke2, and Pascal Hagenmuller2 — 1Inst Physik & ForWind Uni Oldenburg 26111 Oldenburg — 2Météo-France - CNRS, CNRM UMR 3589, CEN, Grenoble, France
Data of high-resolution penetration tests are analyzed with stochastic methods. The measurements were performed with the snow micro penetrometer, measuring the snow resistance at micro-scale on small snow depths. We analyse this noisy data by stochastic methods. Therefore we determine drift an diffusion coefficients showing that the mean force increases with the depth. The solidity increases overall with the depth. Layer with different solidity can be detected. The noise analysis indicates that jump rise is involved, most likely due to breaking of ice bonds.