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Proposing Institution

LMU Munich, Department of Geography
Project Manager

Prof. Dr. Ralf Ludwig
Luisenstraße 37
80333 München
The project KlimEx brings together climate scientists and hydrologists from Bavaria (LMU) and Quebec (Ouranos) to investigate the impacts of climate change on hydrological extremes, in particular the changes in frequency and intensity of major flood events in the partner regions. The project builds on a long-standing collaboration among the partners in climate science and hydrology. In the long term, the project envisions the downscaling of two large ensembles of Global Climate Models (CESM4 (up to 30 members), CanESM2 (up to 50 members) using the CRCM5 (Canadian Regional Climate Model, Version 5) over a European and a Canadian domain. The high-resolution simulations (up to 0.11 degrees, 12km) will provide an unprecedented dataset for the investigation of natural variability in the climate system, climate change and extreme value analysis for applications in hydrology and water resources management.In a first step, a test account is requested with this proposal to examine the feasibility of porting the CRCM5 to SuperMUC. Ouranos has access to the code of CRCM5 since UQAM and Environment Canada are members of the institution. CRCM5 is the climate version of the Global Environmental Multiscale (GEM, Yeh et al. 2002), an atmospheric model developed by Environment Canada to support the operational production of weather forecasts in Canada. It was initially developed by a network of researchers at the Université du Québec à Montreal UQAM (http://www.mrcc.uqam.ca/). The parallelized code uses hybrid MPI and OpenMP scheme for best scaling performance. It is a grid-point model used in global (at uniform or variable resolution) or limited-area configuration. Typical size of grid is 800x600x80L for global runs and 400x400x56L for limited-area runs; for the application in Bavaria it is foreseen to reduce the spatial domain to be able to increase the number of simulations. Climate applications require long integrations reaching 150-year periods, with model integrated in segments with restart procedures every month of simulation.

Impressum, Conny Wendler