The Conversation - Understanding the dynamics of snow cover in forests can help us predict flood risks
“Rainfall events like this will continue to increase in frequency as global temperatures warm. However, increased knowledge of the interactions between snow cover and forest will help improve hydrological models and ensure better public protection against flooding.”
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A new article in The Conversation by researchers at Université Laval highlights the important role that winter snowpack plays on hydrology, and how a better understanding of snow depth in forested catchments can help us better predict flood risks during the spring freshet. Interesting to note are the heat exchange dynamics at play when liquid precipitation falls on snow, and the important role that snow and soil temperature have on the overall impact of snowpack on streamflows. These important dynamics are also something being considered by the Canada1Water project, as we incorporate Community Land Model v5 into the overall modelling framework of the C1W efforts. Want to learn more? Read the articles below which highlight some of the work the C1W team is doing to predict snowpack depth and density in the coming decades, at the continental scale!
Clearing the path to project snow on a continental scale
Climate Change Impacts on Mountain Snowpacks