814335 Atmospheric and climate modelling

Type
Exercise course
Semester hours
3
Lecturer (assistant)
Arsenovic, Pavle , Nadeem, Imran , Kuchar, Ales , Formayer, Herbert
Organisation
Offered in
Wintersemester 2024/25
Languages of instruction
Englisch
Content

Numerical models are a core tool of exploration, projection and hypothesis testing in atmospheric and climate research. This course offers an overview of different models routinely used in atmospheric and climate research and their application. The models explored in this course range from idealized models to regional climate models (RCMs) and chemistry-transport models (CTMs) and comprehensive coupled global climate models. The course introduces model architecture, parameterizations, and application as well as the use of shell scripts, high-performance computing (HPC) systems and postprocessing routines (e.g. CDO, python, R). In hands-on exercises students will setup models, design and perform model experiments of different complexity and postprocess and analyze model output fields.
Objective (expected results of study and acquired competences)

After the successful completion of the course students will have obtained an overview of model families in atmospheric and climate research and their application. Students will be able to write shell scripts, utilize high-performance computing (HPC) systems and perform simple to medium-complexity experiments with atmospheric and climate models. Students will have a general understanding of the structure of atmospheric transport and climate models and the role of parameterizations in the model architecture. Students will be able to design and perform model experiments and to analyze data effectively through Climate Data Operators (CDO) or analytical scripts in open-source languages such as Python, Julia or R.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.