| Kommentar |
We will introduce dynamical climate models on the global, regional and micro scale. The physical and mathematical principles of these model will be explained. This includes the basic governing equations and the principal approach how these differential equations are solved. Students will apply the regional weather and climate model COSMO-CLM (mainly developed by the German Meteorological Service), and the microscale, building resolving urban climate model PALM-4U (developed also in-house). To this end, we will train the usage of all required aspects of a high-performance computing environment. This includes working with a Linux system on a terminal and programming of analysis scripts (Bash, R).
Another focus point will be the analysis of climate model and climate model ensemble output. Research questions will be discussed and required tools will be explained. |
| Literatur |
Flato, G., J. Marotzke, B. Abiodun, P. Braconnot, S.C. Chou, W. Collins, P. Cox, F. Driouech, S. Emori, V. Eyring, C. Forest, P. Gleckler, E. Guilyardi, C. Jakob, V. Kattsov, C. Reason and M. Rummukainen, 2013: Evaluation of Climate Models. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA
Wayne, G. P. , 2013: The Beginner’s Guide to Representative Concentration Pathways
Schättler, U., G. Doms, and C. Schraff, 2016: A Description of the Nonhydrostatic Regional COSMO-Model Part VII: User's Guide
Maronga, B. et al. 2020: Overview of the PALM model system 6.0
Grolemund, G., H. Wickham, 2017: R for Data Science |
