Syllabus for Numerical Modelling of the Atmosphere

Numerisk modellering av atmosfären

Syllabus

  • 10 credits
  • Course code: 1ME406
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Physics A1N, Computational Science A1N, Earth Science A1N
  • 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
  • Entry requirements: 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

Learning outcomes

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 

Content

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.

Instruction

Lectures, computer exercises, seminars, home assignments and project work

Assessment

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.

Reading list

Reading list

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

    Find in the library

    Mandatory

Last modified: 2022-04-26