Numerical Weather Forecast Models, 7.5 credits

About the education

The course deals with numerical weather prediction models, their construction and application to forecasting and data assimilation. Computer based numerical exercises are an integral part of the course. The course includes:

- Numerical treatment of the model equations

- Computational grid

- Description of sub-gridscale processes

- Observational data included in data assimilation

- Assimilation techniques: optimal interpolation, 3 and 4 dimensional variational data assimilation, Kalman filtering

Subject: Meteorology

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Area of interest: Science and Mathematics

Science and mathematics help us understand how the world around us is connected – from the origin and structure of the universe, to the development and function of humanity and all other organisms on earth.

Scientific knowledge makes it possible to critically examine the credibility of information in different areas of everyday life, society, and the media.

As a scientist or mathematician, you will be attractive on a large job market that covers all parts of society and includes everything from pure technology companies to environment and healthcare, as well as research.

Department responsible for education

Department of Meteorology