Syllabus for Numerical Modelling of the Atmosphere
Numerisk modellering av atmosfären
A revised version of the syllabus is available.
Syllabus
- 10 credits
- Course code: 1ME406
- Education cycle: Second cycle
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Main field(s) of study and in-depth level:
Physics A1N,
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:
First cycle
- 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
Second cycle
- 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
- Applies from: Spring 2008
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Entry requirements:
BSc degree in Physics
- Responsible department: Department of Earth Sciences
Learning outcomes
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
Content
Numerical approximations of different terms in the equation of motion. Finite differences, finite element method, spectral methods. Different numerical models (higher order closure models, large eddy simulation, direct numerical simulation), characteristic features of the models. Different grid structures, Parameterisations of different processes.
Instruction
Lectures and practical assignments and/or home assignments
Assessment
Written examination
Syllabus Revisions
- Latest syllabus (applies from Autumn 2022)
- Previous syllabus (applies from Autumn 2019)
- Previous syllabus (applies from Autumn 2013)
- Previous syllabus (applies from Spring 2008, version 2)
- Previous syllabus (applies from Spring 2008, version 1)
Reading list
Reading list
Applies from: Spring 2008
Some titles may be available electronically through the University library.
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Pielke, Roger A.
Mesoscale meteorological modeling
2. ed.: San Diego, Calif. ; a London: Academic, 2002