Uncertainty Modeling in the Analysis of Weather, Climate and Hydrological Extremes
Videos from BIRS Workshop
Erich Fischer, ETH Zurich
Monday Jun 13, 2016 09:05 - 10:23
A plethora of uncertainty: The challenge of evaluating models and constraining projections given abundant internal variability
Hayley Fowler, Newcastle University
Monday Jun 13, 2016 10:52 - 12:09
Understanding changes in short-duration heavy rainfall with global warming
Jana Sillmann, CICERO
Monday Jun 13, 2016 13:18 - 14:19
Assessing Climate Extremes across Scales - From Global to Regional Climate Modeling to Decision-making
Aurélien Ribes, Météo France - CNRS
Tuesday Jun 14, 2016 09:05 - 10:22
Statistical methods in the detection and attribution of long-term climate changes
Alexis Hannart, CNRS
Tuesday Jun 14, 2016 10:51 - 12:14
Understanding and attributing extremes: three methodological proposals
Francis Zwiers, University of Victoria
Tuesday Jun 14, 2016 13:18 - 14:21
Detection, attribution of long-term change, and event attribution
Richard Smith, University of North Carolina Chapel Hill
Tuesday Jun 14, 2016 14:25 - 15:33
Bayesian Hierarchical Models for Extreme Event Attribution
Anthony Davison, Ecole Polytechnique Fédérale de Lausanne (EPFL)
Wednesday Jun 15, 2016 09:27 - 10:49
Models for Complex Extreme Events
William Kleiber, University of Colorado Boulder
Thursday Jun 16, 2016 09:06 - 10:26
Spatial Statistics for Climate and Weather
Jun Yan, University of Connecticut
Thursday Jun 16, 2016 10:45 - 12:01
Spatial Temporal Statistical Modeling of Extremes and a Marginal Approach
Raphael Huser, King Abdullah University of Science and Technology
Thursday Jun 16, 2016 13:05 - 14:02
Full Likelihood Inference For Max-Stable Distributions Based on a Stochastic EM Algorithm
Philippe Naveau, Commissariat à l'énergie atomique et aux énergies alternatives
Thursday Jun 16, 2016 14:04 - 15:05
Three "simple" tools for analyzing changes in extremes
Brian Reich, North Carolina State University
Friday Jun 17, 2016 08:35 - 10:01
and Emeric Thibaud: Extreme value analysis for large spatial data sets
Seth Westra, University of Adelaide
Friday Jun 17, 2016 10:08 - 11:34
Challenges and opportunities in flood estimation
