The Influence of Snow and Ice Albedo towards Improved Lake Ice Simulations

Lake ice models are a vital tool for studying the response of ice-covered lakes to changing climates throughout world. The Canadian Ice Model (CLIMo) is one-dimensional freshwater cover model that simulates Arctic and sub-Arctic lake well. Modelling in temperate regions has presented challenges due differences composition between northern region ice. This study presents comparison measured modelled regimes, with focus on refining CLIMo regions. sites include two (MacDonald Clear Lake, Central Ontario) High (Resolute Small Nunavut) where climate information have been recorded over three seasons. simulations were validated combination time lapse imagery, field measurements snow depth, density, thickness albedo data, historical records from Database (for Resolute Lake). Simulations show good agreement previous studies ice-on ice-off dates (MAE 6 8 days). Unadjusted timing, but an under-representation thickness, earlier complete timing (~3 5 weeks). Field used adjust values CLIMo, which resulted improvements both simulated cm MAE compared manual measurements), within 0 7 days (2 MAE) observations. These findings suggest regionally specific can improve accuracy simulations, further our knowledge regimes conditions.