The rapidly changing Arctic climate is impacting the interactions between surface water, supra-permafrost water, snow, vegetation, lakes and streamflow. As recently reported, the Arctic's intensifying hydrologic cycle and warming air temperatures are key drivers of many changes across the Arctic terrestrial environment—from snow cover to lake ice break-up to tundra vegetation productivity. As such, monitoring and modelling Arctic regions remains a challenge due to poor accessibility, limited available observations, and the lack of models that address key cryospheric and hydrological processes in sufficient detail and at the high spatial resolution required.

This session invites studies focused on, but not limited to, integrating observations, remote sensing and numerical modelling with the aim to advance hydrological processes, quantify hydrometeorological extremes, and assess impacts of changing Arctic climate using process-based modelling. Studies that advance process-based understanding across multiple spatial scales and historical to future climates in the Arctic region are encouraged.