All A1 Publications

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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.
  • 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.
  • Pollmann, F., Eden, C., & Olbers, D. (2017). Evaluating the global internal wave model IDEMIX using finestructure methods. Journal of Physical Oceanography, available online ahead of print. doi:10.1175/JPO-D-16-0204.1.
  • Blender, R., & Badin, G. (2017). Construction of Hamiltonian and Nambu forms for the shallow water equations. Fluids, 2: 24. doi:10.3390/fluids2020024.
  • Graves, T., Franzke, C., Watkins, N. W., Gramacy, R. B., & Tindale, E. (2017). Systematic inference of the long-range dependence and heavy-tail distribution parameters of ARFIMA models. Physica A: Statistical Mechanics and its Applications, 473, 60-71. doi:10.1016/j.physa.2017.01.028.
  • Li, Z., von Storch, J. S., & Müller, M. (2017). The K1 internal tide simulated by a 1/10° OGCM. Ocean Modelling, 113, 145-156. doi:10.1016/j.ocemod.2017.04.002.
  • Tian, F., von Storch, J. S., & Hertwig, E. (2017). Air–sea fluxes in a climate model using hourly coupling between the atmospheric and the oceanic components. Climate Dynamics, 48, 2819-2836. doi:10.1007/s00382-016-3228-y.
  • Yi, X., Hünicke, B., Tim, N., & Zorita, E. (2017). The relationship between Arabian Sea upwelling and Indian Monsoon revisited in a high resolution ocean simulation. Climate Dynamics, available online. doi:10.1007/s00382-017-3599-8.

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.