P.K. Satyawali

TL;DR: In this article, a detailed model of snow microstructure and metamorphism is presented, which includes the strong coupling between physical processes in snow: the bond size, which changes not only through metamorphic processes but also through the process of pressure sintering, is at the same time the single most important parameter for snow viscosity and thermal conductivity.

TL;DR: In this article, a simple physically based model is derived which depends on one adjustable geometric factor only snow texture is described as a body-centred cubic lattice containing source and sink grains, which grow as plates due to water-vapour transport in the layer as well as between the layers.

TL;DR: In this article, the temporal variations in three-dimensional snow microstructure under the influence of a strong temperature gradient for 6 days using X-ray computed microtomography (mCT), and numerically simulate the linear elastic properties of snow from microtomographic data using a voxel-based finite-element technique.

TL;DR: In this paper, the authors developed a physical model that can predict changes in microstructure of snow during metamorphism using 3D coordination number, mean grain size, mean bond radius and mean neck length.

TL;DR: In this article, the authors describe time series analysis of snow-melt, radiation data and energy balance for a seasonal snow cover at the field station of SASE, which lies in the Pir Panjal range of the N-W Himalaya, for a winter season from 13 January to 12 April 2005.