After the completion of the course, the student should be able to:
Describe and quantifykey physical and chemical properties of the snow cover
Calculate the surface energy budget of the snowpack to estimate meltwater yield
Use tracers to estimate the seasonal smowmelt contributions to stream runoff
Perform runoff predictions from snow measurements using a hydrological model
Apply some remote sensing techniques to characterise snow cover properties
Discuss the importance of snow as an environment for life
This course offers an introduction to various aspects of the science of snow, including snow physics and chemistry, snow climatology and surface energy balance, snow hydrology, remote sensing of snow cover, snow cover pollution, and the ecology of snow-covered environments. The course involves the interpretation of real snow datasets and remote sensing data, along with the application of a hydrological model.
Lectures, practical exercises and a project.
Evaluation of the course is based on assignments (1 credit), participation in computer exercises (2 credits), written reports (3 credits) and a written exam (4 credits). .