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Stéphane Vannitsem is a member of the Research Division of the Royal Meteorological Institute of Belgium since 1994, and has been co-editor of three special issues, two in nonlinear processes in Geophysics, and one in International Journal of Bifurcation and Chaos. His fields of expertise include dynamical chaos, predictability and data assimilation, and statistical postprocessing. Daniel S. Wilks is a Professor Emeritus at Cornell University and has been a Member of the Atmospheric Sciences faculty since 1987. His research focuses on the application of statistical methods for the quantification and analysis of uncertainty in meteorological and climatological data and forecasts. Dr. Wilks has taught courses on statistics in the atmospheric sciences and has been an Author or Coauthor of more than 100 peer-reviewed research articles. Jakob W. Messner is a post-doctoral fellow at the Electrical Engineering department of the Technical University of Denmark. He holds a Ph.D. in Atmospheric Sciences from the University of Innsbruck and his main research interests include statistical forecasting for weather and energy applications, ensemble postprocessing, and implementation of statistical methods in open-source software. |
