Syllabus for Numerical Modelling of the Atmosphere
Numerisk modellering av atmosfären
A revised version of the syllabus is available.
- 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: The Faculty Board of Science and Technology
- Revised: 2013-05-17
- Revised by: The Faculty Board of Science and Technology
- Applies from: Autumn 2013
120 credits including 35 credits in mathematics and 35 credits in physics
- Responsible department: Department of Earth Sciences
After the course the students shall
• understand how motions systems in the atmosphere cam be simulate with a computer model.
• have knowledge about different of models used to simulate weather/ the atmosphere on different scales
• have knowledge about and understand how approximations of the physics of the atmosphere can be done in different model types
• be able to approximate the equations of motions using numerical methods
• have knowledge about different methods used in numerical models
• have knowledge about methods to evaluate results from a numerical weather model
Numerical approximations of different terms in the equation of motion. Finite differences, spectral methods. Different numerical models (RANS models, large eddy simulation, direct numerical simulation), characteristic features of the models. Different grid structures, Parameterisations of different processes.
Lectures, computer exercises, home assignments and project work
Written examination (6 credits), home assignment (1 credit) and project work (3 credits). To pass also requires approved computer exercises.
Applies from: Autumn 2013
Some titles may be available electronically through the University library.
Warner, Thomas T.
Numerical weather and climate prediction
Cambridge: Cambridge University Press, 2011