Abstract
To study various aspects of the climate on the regional scale, IMK-TRO employs the regional climate model (RCM) COSMO-CLM on the High Performance Computing Systems (HPC) CRAY XE6 and CRAY XE40, operated by the HLRS. The research focus is on decadal predictability, extremes and high resolution experiments within individual research projects (MiKlip, KLIMOPASS and KLIWA). Also within MiKlip the effects of soil and vegetation processes on decadal climate predictions are investigated using a via OASIS3-MCT coupled system of COSMO-CLM and the Soil-Vegetation-Atmosphere-Transfer model (SVAT) VEG3D. Ensembles are built with different techniques to quantify the uncertainty of climate projections and predictions and to assess the quality of the models. KLIMOPASS includes projections of the future climate, considering periods up to the mid of the twenty-first century. High resolution (2.8 km) experiments are performed for the State of Baden–Württemberg to study extremes and their potential added value. Altogether simulations for Germany, Europe, and Africa are performed with varying temporal and spatial resolutions from 50 to 2.8 km. The required Wall-Clock-Time (WCT) reach from 100 to 650 node-hours per simulated year.
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References
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., Reinhardt, T.: Operational convective-scale numerical weather prediction with the COSMO model: description and sensitivities. Mon. Weather Rev. 139(12), 3887–3905 (2011)
Rockel, B., Will, A., Hense, A.: The regional climate model COSMO-CLM (CCLM). Meteorol. Z. 17(4), 347–348 (2008)
Imhof, H.: Combined effects of urban planning and climate change on the climate of the Stuttgart metropolitan area. Master’s thesis, Karlsruhe Institute of Technology (2015)
van Vuuren, D.P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G.C., Kram, T., Krey, V., Lamarque, J.-F., Masui, T., Meinshausen, M., Nakicenovic, N., Smith, S.J., Rose, S.K.: The representative concentration pathways: an overview. Clim. Chang. 109(1–2), 5–31 (2011)
Schädler, G.: Numerische Simulationen zur Wechselwirkung zwischen Landoberfläche und atmosphärischer Grenzschicht. Ph.D. thesis, Karlsruhe Institute of Technology (1990)
Stewart, I.D., Oke, T.R.: Local climate zones for urban temperature studies. Bull. Am. Meteorol. Soc. 93(12), 1879–1900 (2012)
Smith, D.M., Cusack, S., Colman, A.W., Folland, C.K., Harris, G.R., Murphy, J.M.: Improved surface temperature prediction for the coming decade from a global climate model. Science 317(5839), 796–799 (2007)
Keenlyside, N.S., Latif, M., Jungclaus, J., Kornblueh, L., Roeckner, E.: Advancing decadal-scale climate prediction in the North Atlantic sector. Nature 453, 84–88 (2008)
Pohlmann, H., Jungclaus, J.H., Koehl, A., Stammer, D., Marotzke, J.: Initializing decadal climate predictions with the GECCO oceanic synthesis: effects on the North Atlantic. J. Clim. 22(14), 3926–3938 (2009)
Stocker, T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, J., Boschung, S.K., Nauels, A., Xia, Y., Bex, V., Midgley, P.M.: Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Technical report, Cambridge University Press, Cambridge/New York (2013)
Pohlmann, H., Müller, W.A., Kulkarni, K., Kameswarrao, M., Matei, D., Vamborg, F.S.E., Kadow, C., Illing, S., Marotzke, J.: Improved forecast skill in the tropics in the new MiKlip decadal climate predictions. Geophys. Res. Lett. 40(21), 5798–5802 (2013)
Meehl, G.A., Goddard, L., Boer, G., Burgman, R., Branstator, G., Cassou, C., Corti, S., Danabasoglu, G., Doblas-Reyes, F., Hawkins, E., Karspeck, A., Kimoto, M., Kumar, A., Matei, D., Mignot, J., Msadek, R., Navarra, A., Pohlmann, H., Rienecker, M., Rosati, T., Schneider, E., Smith, D., Sutton, R., Teng, H., van Oldenborgh, G.J., Vecchi, G., Yeager, S.: Decadal climate prediction: an update from the trenches. Bull. Am. Meteorol. Soc. 95(2), 243–267 (2014)
Mieruch, S., Feldmann, H., Schädler, G., Lenz, C.-J., Kothe, S., Kottmeier, C.: The regional MiKlip decadal forecast ensemble for Europe: the added value of downscaling. Geosci. Model Dev. 7(6), 2983–2999 (2014)
Goddard, L., Kumar, A., Solomon, A., Smith, D., Boer, G., Gonzalez, P., Kharin, V., Merryfield, W., Deser, C., Mason, S.J., Kirtman, B.P., Msadek, R., Sutton, R., Hawkins, E., Fricker, T., Hegerl, G., Ferro, C.A.T., Stephenson, D.B., Meehl, G.A., Stockdale, T., Burgman, R., Greene, A.M., Kushnir, Y., Newman, M., Carton, J., Fukumori, I., Delworth, T.: A verification framework for interannual-to-decadal predictions experiments. Clim. Dyn. 40(1–2), 245–272 (2013)
Haylock, M.R., Hofstra, N., Tank, A.M.G.K., Klok, E.J., Jones, P.D., New, M.: A European daily high-resolution gridded dataset of surface temperature and precipitation. J. Geophys. Res. 113, D20119 (2008)
Sivia, D., Skilling, J.: Data Analysis: A Bayesian Tutorial. Oxford University Press, Oxford (2006)
Schrodin, E., Heise, E.: A new multi-layer soil model. COSMO Newsl. 2, 149–151 (2002)
Panitz, H.-J., Schädler, G., Breil, M., Mieruch, S., Feldmann, H., Sedlmeier, K., Laube, N., Uhlig, M.: High resolution climate modeling with the CCLM regional for Europe and Africa. In: High Performance Computing in Science and Engineering ’14, pp. 561–574. Springer, New York (2014)
Rauthe, M., Steiner, H., Riediger, U., Mazurkiewicz, A., Gratzki, A.: A central European precipitation climatology? Part I: Generation and validation of a high-resolution gridded daily data set (HYRAS). Meteorol. Z. 22(3), 235–256 (2013)
Kohler, M., Schädler, G., Gantner, L., Kalthoff, N., Königer, F., Kottmeier, C.: Validation of two SVAT models for different periods during the west African monsoon. Meteorol. Z. 21(5), 509–524 (2012)
van Genuchten, M.Th.: A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am. J. 44(5), 892–898 (1980)
Johansen, O.: Thermal conductivity of soils. Ph.D. thesis, University of Trondheim (1975). (CRREL Draft Translation, 1977), ADA044002
Dee, D.P., Uppala, S.M., Simmons, A.J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M.A., Balsamo, G., Bauer, P., et al.: The ERA-interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 137(656), 553–597 (2011)
Willmott, C.J., Matsuura, K., Legates, D.R.: Global air temperature and precipitation: regridded monthly and annual climatologies (version 2.01) (2004)
Panitz, H.-J., Fosser, G., Sasse, R., Sehlinger, A., Feldmann, H., Schädler, G.: Modelling near future regional climate change for Germany and Africa. In: High Performance Computing in Science and Engineering ’12, pp. 375–390. Springer, Berlin/Heidelberg/New York (2013)
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Panitz, HJ. et al. (2016). Application of the Regional Climate Model CCLM for Studies on Urban Climate Change in Stuttgart and Decadal Climate Prediction in Europe and Africa. In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering ’15. Springer, Cham. https://doi.org/10.1007/978-3-319-24633-8_38
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DOI: https://doi.org/10.1007/978-3-319-24633-8_38
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