Atmospheric Modelling

In this subject students will use computational techniques to explore atmospheric processes and phenomena, including storms, atmospheric circulation, and climate feedbacks. The subject will develop skills in modelling the atmosphere, using modern computational and numerical frameworks and mathematical and physical reasoning. Mathematical techniques including differential equations and finite differencing will be used along with application of fundamental physical principles to real world problems in meteorology and climate science. Students will also analyse and map real-world atmospheric datasets, including satellite data and numerical models of the atmosphere.

• 1Apply appropriate numerical methods for solving simple models of the weather and climate system.
• 2Explain the purpose, applications and limitations of different classes of models of the weather and climate system
• 3Analyse diverse datasets of atmospheric data from satellites and models.
• 4Effectively use a modern programming language to model, analyse, graph and map atmospheric data.
• 5Critique and explain modelling results through clear scientific oral and written communication.
• 6Evaluate the role of modelling systems in understanding the real weather and climate system, including for assessing climate change impacts and prediction.
• 7Apply simple models to understand key processes in the atmosphere, including radiation, wind systems and storms.