Due to the complexity of the climate system, numerical modeling is a key component of climate research. In this course students gain practical experience with numerical models that are used to study different components of the climate system and in weather forecasting. Basic numerical issues are covered in introductory lectures. Other topics are model hierarchy, parametrisation, data assimilation, model-initialisation and model-validation. At the end of the first week students choose a modeling project associated with one of the research lines of the Institute for Marine and Atmospheric research Utrecht (IMAU). This means that there are projects on Oceanography of Coastal Zones, Ocean and Climate, Ice and Climate, Dynamical Meteorology and Atmospheric Chemistry. The project covers 75% of the work load and is supervised by a staff member of IMAU. The course graded on the basis of hand-in exercises (25%) and a small research project, which is concluded with an oral presentation and a written report.
1. Numerical models of ocean, atmosphere and ice caps and their numerical aspects, specifically, numerical solution methods (accuracy and stability), parametrisations, model-initialisation and model-validation.
2. Basic programming, debugging and testing in Python, or any other appropriate programming language
3. Setting up a numerical model on a climate-related process, or adaptation of an existing model.
4. Design, performance and analysis of numerical simulations to answer a research question.
5. Presentation of the results of a simulation project in an oral presentation and in a written report.
This course will start on september 1st in BBG 079, see Blackboard for further details