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High Resolution Climate Modeling with the CCLM Regional Model

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High Performance Computing in Science and Engineering ‘13

Abstract

Using the CRAY XE-6 at the HLRS high performance computing facilities provides the possibility to study various aspects of the regional climate employing the regional climate model COSMO-CLM. The research activities of the group “Regional Climate and Water Cycle” at the KIT focus on the regional atmospheric water cycle and, especially, on extremes and different goals are pursued in the individual research projects. Different regions and orographies are studied using different resolutions from 50 to 3 km. Furthermore, different time spans are investigated and computational capacities from 2 to 500 node-hours per year (Wall Clock Time) are required. The analyses comprise decadal climate simulations of Germany, Europe and Africa to assess regional decadal climate predictability. Further, climate projections are carried out for Baden-Württemberg (Germany) and novel ensemble generating techniques are implemented to better describe the involved uncertainties. High resolution (3 km) experiments are performed for Baden-Württemberg to study extremes and the effects of climate change on soil erosion. Moreover, the possibilities of adaption to climate change for Baden-Württemberg are analysed, with focus on extremes and combination of extremes (such as dry soil and extreme precipitation).

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References

  1. M. Baldauf, A. Seifert, J. Förstner, D. Majewski, M. Raschendorfer, Operational convective-scale numerical weather prediction with the COSMO model: description and sensitivities. Mon. Weather Rev. 139, 3887–3905 (2011). doi:10.1175/MWR-D-10-05013.1

    Article  Google Scholar 

  2. G. Doms, U. Schättler, A description of the nonhydrostatic regional model LM, Part I: dynamics and numerics. COSMO Newslett. 2, 225–235 (2002)

    Google Scholar 

  3. C. Meissner, G. Schädler, Modelling the regional climate of Southwest Germany: sensitivity to simulation setup, in High Performance Computing in Science and Engineering ’07, ed. by W.E. Nagel, D. Kröner, M. Resch (Springer, Berlin, 2007). ISBN 978-3-540-74738-3

    Google Scholar 

  4. B. Rockel, A. Will, A. Hense, Regional climate modelling with COSMO-CLM (CCLM). Meteorol. Z. 17(4) (2008). ISSN 0941-2948 (special issue)

    Google Scholar 

  5. C. Meissner, G. Schädler, H.-J. Panitz, H. Feldmann, C. Kottmeier, High resolution sensitivity studies with the regional climate model COSMO-CLM. Meteorol. Z. 18, 543–557 (2009). doi:10.1127/0941-2948/20090400

    Article  Google Scholar 

  6. R.T. Sutton, D.L.R. Hodson, Atlantic ocean forcing of North American and European summer climate. Science 309, 115–118 (2005). doi:10.1126/science.1109496

    Article  Google Scholar 

  7. H.-J. Panitz, P. Berg, G. Schädler, G. Fosser, Modelling regional climate change for Germany and Africa, in High Performance Computing in Science and Engineering ’11, ed. by W.E. Nagel, D. Kröner, M. Resch (Springer, Berlin, 2012), pp. 503–512. doi:10.1007/ 978-3-642-23869-7

    Google Scholar 

  8. A. Simmons, S. Uppala, D. Dee, S. Kobayashiera, New ECMWF reanalysis products from 1989 onwards. ECMWF Newslett. 110, 25–35 (2006) (Winter 2006/07)

    Google Scholar 

  9. W.A. Müller, J. Baehr, H. Haak, J.H. Jungclaus, J. Kröger, D. Matei, D. Notz, H. Pohlmann, J.S. von Storch, J. Marotzke, Forecast skill of multi-year seasonal means in the decadal prediction system of the Max-Planck Institute for Meteorology. Geophys. Res. Lett. 39, L22707 (2012). doi:10.1029/2012/GL053326

    Google Scholar 

  10. C.J. Willmott, K. Matsuura, D.R. Legates, Global air temperature and precipitation: regridded monthly and annual climatologies (version 2.01) (1998). Available online at http://climate.geog.udel.edu/~climate/

  11. R. Sasse, G. Schädler Generation of regional climate ensembles using atmospheric forcing shifting. Int. J. Climatol. (2013 submitted)

    Google Scholar 

  12. H.-J. Panitz, G. Fosser, R. Sasse, A. Sehlinger, H. Feldmann, G. Schädler, Modelling near future regional climate change for Germany and Africa, in High Performance Computing in Science and Engineering ’12, ed. by W.E. Nagel, D. Kröner, M. Resch (2013)

    Google Scholar 

  13. I. Schlüter, G. Schädler, Sensitivity of heavy precipitation forecasts to small modifications of large-scale weather patterns for the Elbe river. J. Hydrometeorol. 11, 770–780 (2010). doi:10.1175/2010JHM1186.1

    Article  Google Scholar 

  14. B. Früh, H. Feldmann, H.-J. Panitz, G. Schädler, D. Jacob, P. Lorenz, K. Keuler, Determination of precipitation return values in complex terrain and their evaluation. J. Climate 23, 2257–2274 (2010). doi:10.1175/2009JCLI2685.1

    Article  Google Scholar 

  15. H. Feldmann, G. Schädler, H.-J. Panitz, C. Kottmeier, Near future changes of extreme precipitation over complex terrain in Central Europe derived from high resolution RCM ensemble simulations. Int. J. Climatol. (2012). doi:10.1002/joc.3564

    Google Scholar 

  16. S. Wagner, P. Berg, G. Schädler, H. Kunstmann, High resolution regional climate model simulations for Germany, Part II: projected climate changes. Climate Dyn. (2012). doi:10.1007/s00382-012-1510-1

    Google Scholar 

  17. G. Roeckner, G. Baeuml, L. Bonaventura, R. Brokopf, M. Esch, M. Giorgetta, S. Hagemann, I. Kirchner, L. Kornblueh, E. Manzini, A. Rhodin, U. Schlese, U. Schulzweida, A. Tompkins The atmospheric general circulation model ECHAM 5, Part I: model description. Technical Report 349, Max-Planck-Institut für Meteorologie, Hamburg (2003)

    Google Scholar 

  18. G. Schädler, P. Berg, D. Düthmann, H. Feldmann, J. Ihringer, H. Kunstmann, J. Liebert, B. Merz, I. Ott, S. Wagner, Flood hazards in a changing climate. Project Report, p. 83. Centre for Disaster Management and Rsik Reduction Technology (CEDIM) (2012), http://www.cedim.de/download/FloodHazardsinaChangingClimate.pdf

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Panitz, HJ. et al. (2013). High Resolution Climate Modeling with the CCLM Regional Model. In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering ‘13. Springer, Cham. https://doi.org/10.1007/978-3-319-02165-2_35

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