We will introduce dynamical and statistical climate models on the global and regional scale. The physical principles of these model will be explained with emphasis on land surface schemes from urban environments to tundra landscapes. Students will apply these models. To this end, we will train the usage of all required aspects of an high-performance computing environment.
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.
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
Grolemund, G., H. Wickham, 2017: R for Data Science