The presence of snow as a land or ice cover completely changes the interaction with the atmosphere as opposed to snow-free surfaces. At the same time, water stored in the snow pack represents an important component of the hydrological balance in many regions of the world and snow is the source of most ice masses. Monitoring and modeling of snow accumulation and melt is often particularly difficult because of limited availability and large spatial variability of hydrological and weather data. The objective of this session is to integrate specialists focusing on snow within the context of catchment hydrology, snow as a land surface, snow-vegetation interaction and snow as a source for glacier ice. The aim is to integrate and share the knowledge and experience in the fields of experimental research, remote sensing and modelling.

Specifically, contributions addressing the following topics are welcome:
- results of experimental research on snow properties and processes and their potential for an implementation in hydrologic catchment, glacier and land-surface models;
- experimental research and innovative modelling approaches addressing the effect of vegetation on snow energetics, properties and distribution;
- evaluation of different remote sensing technologies and classification approaches focusing e.g. on snow cover, albedo, snow depth and snow water equivalent mapping;
- snow data assimilation for different models and from multiple sources;
- practical implementation of snow data in operational hydrological and weather forecast modelling.