Research Interests
The Canadian Arctic is characterized by low mean annual temperatures, long dark winters, permafrost soil and persistent snow cover. These environments are very sensitive to impacts from climate change and ongoing and future human development in the form of resource extraction.
Snow cover data represent a key contribution to the development and validation of climate (Regional and Global), energy balance, land surface, hydrological and ecological models. The physical properties of snow affect the atmosphere at its lower boundary, and snow cover is recognized as an critical factor which influences the climate on local, regional and global scales.
Accurately representing snow in regional and global models is necessary in order to achieve realistic simulations of future weather and climate. Several models have been developed to estimate snow cover properties and distribution, however, estimates of snow cover do not always reflect the complex spatial variability present at scales below those used in climate and atmospheric models.
This is especially problematic in the tundra due to a lack of spatially distributed observational datasets for model development and validation
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