Advances in Observation and Modeling of Seasonal Snow and Ecohydrological Processes in Forests and Cold Regions I Oral

In cold regions and forests, water availability depends on the complex dynamics between seasonal snow and ecohydrological processes, which are also sensitive to a warming climate and land cover disturbances. Many forest processes (e.g., interception, evapotranspiration) are tightly linked to the canopy structure and vary across small spatial scales. Snow and ecohydrological processes further vary across landscape scales due to interactions with atmosphere, topography, and vegetation. These interacting processes entail major observational and modeling challenges for both current and future conditions. Recent remote sensing technology provide detailed understanding of forest snow and canopy structure, vegetation disturbance and regrowth, as well as snow distributions across a range of spatial scales. Modeling capabilities continue to improve through advances in physical parameterizations, data assimilation, and data-driven techniques. This session focuses on novel observations and advances in modeling techniques for understanding snow and ecohydrological processes in snow-covered regions and forests.