Daphne Vaes

My doctoral project aims to improve the representation of snow heterogeneity in a physical simulation model. The Crocus module is integrated into the SVS2 land surface model, which is used for hydrometeorological forecasts.

Based on field measurements taken at the Montmorency Forest in Quebec, it will be possible to better understand energy balance processes and their influence on snow microstructure, both in forest clearings and beneath the canopy. These data will enable the high-resolution FSM-Cro model to be run, which provides a more detailed representation of snow-forest interactions and will serve as a reference for parameterizing the SVS2-Crocus model.

The project as a whole is part of Canada’s Terrestrial Snow Mass Mission (TSMM), which aims to estimate the water equivalent of snow based on instantaneous radar measurements. This mission requires a better understanding of snow microstructure as well as the processes represented in SVS2-Crocus.

Ph. D. student in water engineering - Université Laval

Affiliations

Department of Civil and Water Engineering,

Université Laval

Boreal forest snow

Modeling

Snow energy balance

Supervision: Daniel Nadeau and Giulia Mazzotti

Contact

daphne.vaes.1@ulaval.ca

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