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Hancock, Steven Modelling the boreal forest’s impact on the snow energy balance Poster
Steven Hancock1, Richard Essery1, Matthew Purslow1, Clare Webster1,2, Giulia Mazzotti2, Jonas Jonas2, Johanna Malle3 and Nick Rutter3
(1) University of Edinburgh, Geosciences(2) WSL Institute for Snow and Avalanche Research SLF(3) Northumbria University, Geography and Environmental Sciences

Numerical land surface models (LSMs) are essential for forecasting weather and climate. The interaction between vegetation and snow is known to be a source of uncertainty when predicting feedback effects. During snowmelt, vegetation shades parts of the snow surface from shortwave radiation, reducing the amount of energy available for melt, whilst other parts are fully sunlit at different points throughout the day. Absorbed shortwave radiation is reradiated as longwave radiation, increasing the amount of energy available for melt. The relative contribution and timing of these affects controls the rate of melt whilst the amount of shading at a given illumination angle controls the albedo. High resolution vegetation structure measurements, from TLS, alongside characterisations of the above and below canopy radiation regime, can be used to drive a radiative transfer model to help understand these processes, and to determine how they can be modelled at larger scales.

Data was collected at Sodankylä in April 201 at eight 40 m by 40m grids and three 60 m transects. Forest structure was characterised by a Riegl VZ-1000 TLS. The radiation regime was characterised by hemispherical longwave and shortwave radiometers placed at temporary weather stations at an open site and within the plots, and mounted on a 60 m cable car, a portable gimbal and a DJI S1000 UAV.