The complex dynamics of snow and ecohydrological processes under forest canopy entail major observational and modeling challenges. Many relevant processes are tightly linked to the canopy structure and vary considerably across small spatial scales, e.g., interception, sublimation and unloading of snow in the canopy, evapotranspiration, or radiation transfer through the canopy.

Current remote sensing technology provides detailed datasets on forest snow and canopy structure. Such datasets are being leveraged to improve the representation of forest snow processes in hydrological and climate models. This increases our ability to accurately assess melt water runoff from mountain watersheds, the impact of forest disturbances on ecohydrological processes, and snow-albedo feedbacks in a warming environment.

The session aims to bringing together those interested in forest snow and ecohydrological processes, develop novel experimental methods, provide observational datasets, or advance respective numerical models. This may include investigations at the tree-resolving scale as well as coarse-resolution applications.