All A1 Publications

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  • Blender, R., Gohlke, D., & Lunkeit, F. (2018). Fluctuation analysis of the atmospheric energy cycle. Physical Review E, 98: 023101, pp. 1-7. doi:10.1103/PhysRevE.98.023101.
  • Tantet, A., Lucarini, V., Lunkeit, F., & Dijkstra, H. A. (2018). Crisis of the chaotic attractor of a climate model: a transfer operator approach. Nonlinearity, 31(5), 2221-2251. doi:10.1088/1361-6544/aaaf42.
  • Bunzel, F., Müller, W. A., Dobrynin, M., Fröhlich, K., Hagemann, S., Pohlmann, H., Stacke, T., & Baehr, J. (2018). Improved seasonal prediction of European summer temperatures with new five-layer soil-hydrology scheme. Geophysical Research Letters, 45, 346-353. doi:10.1002/2017GL076204.
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  • Önskog, T., Franzke, C., & Hannachi, A. (2018). Predictability and Non-Gaussian Characteristics of the North Atlantic Oscillation. Journal of Climate, 31, 537-554. doi:10.1175/JCLI-D-17-0101.1.
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  • Risbey, J. S., O'Kane, T. J., Monselesan, D. P., Franzke, C., & Horenko, I. (2018). On the Dynamics of Austral Heat Waves. Journal of Geophysical Research-Atmospheres, 123, 38-57. doi:10.1002/2017JD027222.
  • Yi, X., Hünicke, B., Tim, N., & Zorita, E. (2018). The relationship between Arabian Sea upwelling and Indian Monsoon revisited in a high resolution ocean simulation. Climate Dynamics, 50(1-2), 201-213. doi:10.1007/s00382-017-3599-8.
  • Vissio, G., & Lucarini, V. (2018). A proof of concept for scale-adaptive parametrizations: the case of the Lorenz '96 model. Quarterly Journal of the Royal Meteorological Society, 144, 63-75. doi:10.1002/qj.3184.
  • Franzke, C., & Yuan, N. (2017). Why is scaling important? Centennial to Millennial Climate Variability, 25(3), 134-135. doi:10.22498/pages.25.3.134.
  • Crucifix, M., de Vernal, A., & Franzke, C. (2017). Centennial climate change: The unknown variability zone. Centennial to Millennial Climate Variability, 25(3), 133. doi:10.22498/pages.25.3.133.
  • Crucifix, M., de Vernal, A., Franzke, C., & von Gunten, L. (Eds.). (2017). Centennial to Millennial Climate Variability [Special Issue]. Past Global Changes Magazine, 25(3),. doi:10.22498/pages.25.3.

Related Publications (CliSAP 1, 2007-2012)

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  • Faranda, D., Lucarini, V., Turchetti, G., & Vaienti, S. (2012). Generalized extreme value distribution parameters as dynamical indicators of stability. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 22(11): 1250276. doi:10.1142/S0218127412502768.
  • Lucarini, V., Faranda, D., Turchetti, G., & Vaienti, S. (2012). Extreme value theory for singular measures. CHAOS, 22(2): 023135. doi:10.1063/1.4718935.
  • Lucarini, V., & Colangeli, M. (2012). Beyond the linear fluctuation-dissipation theorem: the role of causality. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, P05013. doi:10.1088/1742-5468/2012/05/P05013.
  • Wouters, J., & Lucarini, V. (2012). Disentangling multi-level systems: averaging, correlations and memory. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, P03003. doi:10.1088/1742-5468/2012/03/P03003.
  • Olbers, D., Willebrand, J., & Eden, C. (Eds.). (2012). Ocean Dynamics. Berlin: Springer. doi:10.1007/978-3-642-23450-7.