Christian Franzke

Dr. Christian Franzke

Participating Researcher


Universität Hamburg, Center for Earth System Research and Sustainability (CEN)
Meteorological Institute
Room 4010
Grindelberg 7
20144 Hamburg

+49 40 42838 9205

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Research interests

Climate variability, climate trends, extreme value statistics, statistical methods

CliSAP Publications

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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.
  • 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.
  • 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., & von Gunten, L. (Eds.). (2017). Centennial to Millennial Climate Variability [Special Issue]. Past Global Changes Magazine, 25(3),. doi:10.22498/pages.25.3.
  • 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., O'Kane, T., Monselesan, D., Risbey, J., & Horenko, I. (2017). On memory, dimension, and atmospheric teleconnections. Mathematics of Climate and Weather Forecasting, 3, 1-27. doi:10.1515/mcwf-2017-0001.
  • 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.
  • Graves, T., Gramacy, R., Watkins, N., & Franzke, C. (2017). A Brief History of Long Memory: Hurst, Mandelbrot and the Road to ARFIMA, 1951-1980. Entropy, 19: 437. doi:10.3390/e19090437.
  • Franzke, C. (2017). Extremes in dynamic-stochastic systems. Chaos, 27(1). doi:10.1063/1.4973541.
  • Bodai, T., & Franzke, C. (2017). Predictability of fat-tailed extremes. Physical Review E, 96: 032120. doi:10.1103/PhysRevE.96.032120.