Main field(s) of study and in-depth level:
Earth Science A1F
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
G1N: has only upper-secondary level entry requirements
G1F: has less than 60 credits in first-cycle course/s as entry requirements
G1E: contains specially designed degree project for Higher Education Diploma
G2F: has at least 60 credits in first-cycle course/s as entry requirements
G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
GXX: in-depth level of the course cannot be classified
A1N: has only first-cycle course/s as entry requirements
A1F: has second-cycle course/s as entry requirements
A1E: contains degree project for Master of Arts/Master of Science (60 credits)
A2E: contains degree project for Master of Arts/Master of Science (120 credits)
AXX: in-depth level of the course cannot be classified
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
The Faculty Board of Science and Technology
120 credits with (1) 90 credits in earth science, or (2) 90 credits in technology or physics and 30 credits in earth science or Environmental Science. Dynamics of Earth Systems - Global Change, 10 credits.
On 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).
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.