Syllabus for Numerical Modelling of the Atmosphere
Numerisk modellering av atmosfären
- 10 credits
- Course code: 1ME406
- Education cycle: Second cycle
Main field(s) of study and in-depth level:
Computational Science A1N,
Earth Science A1N
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
- Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Established: 2007-03-15
- Established by:
- Revised: 2022-02-22
- Revised by: The Faculty Board of Science and Technology
- Applies from: Autumn 2022
120 credits including 35 credits in mathematics and 35 credits in physics. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Responsible department: Department of Earth Sciences
On completion of the course, the student should:
- understand how motions systems in the atmosphere cam be simulate with a computer model.
- explain how the equations of motions can be approximated using numerical methods
- analyze and describe the approximations of the atmospheric physics made in models
- simulate atmospheric phenomena and critically analyze the outcome
Numerical approximations of different terms in the equation of motion. Finite differences, mapprojections, different coordinate systems, initial and boundary conditions of models. Different numerical models (large eddy simulation, mesoscale weather prediction model, regional and global climate models), characteristic features of the models. Parameterisations of different processes.
Lectures, computer exercises, seminars, home assignments and project work
Written examination (4 credits), home assignments and exercises (2 credits) and project work (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.
Applies from: Autumn 2022
Some titles may be available electronically through the University library.
Warner, Thomas T.
Numerical weather and climate prediction
Cambridge: Cambridge University Press, 2011