Impact of vegetation and climate on simulated snowpack properties along a 4000-km latitudinal transect across eastern Canada ...

• Main Authors: Vionnet, Vincent, Fortin, Vincent, Dominé, Florent, Royer, Alain, Mazzotti, Giulia, Woolley, Georgina, Abrahamowicz, Maria, Lafaysse, Matthieu, Rutter, Nick, Wake, Leane, Derksen, Chris, Bélair, Stéphane
• Format: Conference Object
• Language: unknown
• Published: GFZ German Research Centre for Geosciences 2023
• Subjects: Arctic; Canada
• Online Access: https://dx.doi.org/10.57757/iugg23-2106; https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018745

<!--!introduction!--> The current development of spaceborne missions to retrieve snow water equivalent requires state-of-the-art modelling systems able to provide accurate estimation of snowpack properties across large areas with contrasted climate and vegetation. In the context of the Terrestrial Snow Mass Mission under development at the Canadian Space Agency, the detailed snowpack model Crocus has been implemented in the Soil Vegetation and Snow (SVS) model. For each grid cell, SVS simulates the snowpack evolution (i) over ground without standing vegetation, (ii) in shrub vegetation and (iii) below trees. For each tile, the model includes the representation of the main snow/vegetation interaction processes. In this study, the ability of SVS/Crocus to simulate snowpack properties is tested along a 4000-km latitudinal transect (47°N to 83°N) in northeastern Canada covering a transition from the boreal forest to arctic ecosystems. Crocus is run at 10-km resolution along this transect over a 13-year ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ...