Modelling of the Earth System (summer term)

The focus of the course is on modelling. Exercises complement the lessons.

Specific aspects:

• Types of models, linear vs. non-linear, box & complex models 
• Finite differences and spectral methods 
• Examples: waves, diffusion, boundaries 
• Finite Elements and spectral methods (atmosphere and ocean) 
• Model coupling (atmosphere and ocean) 6) Data assimilation (Kalman filters etc) 
• High-performance computing in modelling (scalability) 
• Random Systems (Stochastic equations, Lattice Gases) 
• Cryosphere (Sea ice, ice sheets, and permafrost) 
• Earth system models including tracers and dynamical vegetation 
• Chemistry Transport Models 
• Inverse methods in chemistry

Literature:

• Gershenfeld, N., The nature of mathematical modeling, Cambridge University Press, Cambridge, 2003, 344 pp.