05-BMG-GI3 Earth-System Modeling and Data Analysis

Numerical models are widely used across all fields in Earth Sciences. This course introduces the basic concept of finite difference techniques for solving differential equations. The focus is on reservoir models that are applied, for example, in geochemistry, paleoceanography, or climatology. Computer labs using Python form the core of the course. In the second part, the students learn about the analysis of climate data stemming from 4-dimensional observations or climate models, i.e., gridded data in time and space.

understanding key concepts and assumptions underlying numerical models
basic understanding of discretization in space and time using finite differences
ability to transfer modeling concept to simple geoscientific problems
ability to analyse 4-dimensional climate data

Fundamentals of mathematics, physics and chemistry

Course Type 1: block course (BK) 2.0 SWS ( 28.0 h)

Course Type 2: Lecture, Exercise (L+E) 2.0 SWS ( 28.0 h)

Tutorial(s): -

56.0 h presence time
56.0 h self-study
68.0 h exam workload

180 h total workload

module exam

exam elements: 1
SL: 0

100 % written exam

Kendal McGuffie, Ann Henderson-Sellers: The Climate Modelling Primer, 4th Edition. Wiley-Blackwell, 456 pp., 2014.
Hartmann, Dennis L.: Global Physical Climatology. Elsevier, 2nd edition, 498 pp., 2016.