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High Resolution Climate Projections Using the WRF Model on the HLRS

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Sustained Simulation Performance 2016

Abstract

Considering the projections of different climate scenarios, global mean surface temperature is expected to rise over the 21st century accompanied by an increase of other weather extremes due to the past anthropogenic emissions of greenhouse gases. As the warming of many land areas is higher than on the global average, the impact of future climate conditions needs to be estimated rather on a regional scale. Thus, climate projections of spatially high resolution simulations are required in combination with their uncertainties and robustness. For a selected area, these simulations are being performed within the framework of EURO-CORDEX. ReKliEs-De (Regional Climate Ensembles Germany) is a Project which complements these simulations by providing projections of model ensembles about the development of future climate and climate extremes for Germany. With the Weather Research and Forecasting (WRF) model and its land surface model NOAH we are performing simulations from 1950 to 2100 with 0.44\(^{\circ }\) (\(\sim \)50 km) and 0.11\(^{\circ }\) (\(\sim \)12 km) resolution on the CRAY XC 40 at the High Performance Computing Center Stuttgart (HLRS). Results of the simulations on the 0.44\(^{\circ }\) grid for a period from 1971–2000 and as comparison for two different future scenarios from 2071–2099 show an increase of the average temperature of up to 2–4 \(^{\circ }\)C in Europe with respect to the chosen emission scenario. However, seasonally the changes are much more diverse.

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Acknowledgements

This work is part of the ReKliEs-De project funded by the BMBF (Federal Ministry for Education and Research) and the Research Unit 1695 funded by the DFG (Deutsche Forschungsgemeinschaft). We would like to thank the staff for the support of the DKRZ (Deutsches Klimarechenzentrum) to give access to the GCM data. Computational Resources for the model simulations on the HLRS CRAY XC40 within WRFCLIM were kindly provided by HLRS, we appreciate the great support.

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Correspondence to Viktoria Mohr .

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Mohr, V., Schwitalla, T., Wulfmeyer, V., Warrach-Sagi, K. (2016). High Resolution Climate Projections Using the WRF Model on the HLRS. In: Resch, M., Bez, W., Focht, E., Patel, N., Kobayashi, H. (eds) Sustained Simulation Performance 2016. Springer, Cham. https://doi.org/10.1007/978-3-319-46735-1_14

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