Program

Sunday, October 23
noon-1:00 PM Lunch 327 Thomas Building
01:00-5:00 PM Short Course Introduction to statistical methods for environmental extremes
Monday, October 24
8:00-8:25am Light Breakfast Regency A, Atherton Hotel
8:30-8:40am Opening remarks
8:40-10:00am Veronica Berrocal Assessing exceedance of ozone standards: a space-time downscaler for fourth highest ozone concentrations
Peter Craigmile Can a regional climate model reproduce observed extreme temperatures?
10:00-10:30am Coffee break
10:30am-noon Eric Gilleland Towards finding trends in extreme values of precipitation
Brook Russell Estimating precipitation return levels in the Carolinas via spatial extremes methods with focus on South Carolina’s October 2015 precipitation event
noon-1:30 PM Lunch Tarragon, Atherton Hotel
1:30-3:00pm Whitney Huang Estimating changes in temperature extremes from millennial-scale climate simulations using generalized extreme value (GEV) distributions
Gregory Bopp A Latent Mixture Model for Extreme Winds
Miranda Fix A comparison of extreme precipitation under two climate change scenarios
3:00-3:30pm Coffee break
3:30-5:00pm Adam Schlosser Analogue Methods for Extreme Event Detection and Prediction: Conceptual Considerations, Evaluations, and Application
Michael Wehner Estimating uncertainty for extreme event attribution statements
5:00-7:00pm Poster session
Tuesday, October 25
8:00-8:30am Light Breakfast Regency A, Atherton Hotel
8:30-10:00am Doug Nychka Extremes in Regional Climate: What to do with 8000 Histograms?
Dan Cooley Two Decompositions of Dependence for Multivariate Extremes
10:00-10:30am Coffee break
10:30am-noon Jenny Wadsworth Modeling spatial processes with unknown extremal dependence
Emeric Thibaud Bridging Asymptotic Independence and Dependence in Spatial Extremes using Gaussian Scale Mixtures
noon-1:30 PM Lunch Tarragon, Atherton Hotel
1:30-3:00pm Mauricio Nascimento Spatial Semiparametric Spectral Density Estimation for Multivariate Extremes
Ben Timmermans Uncertainty in extreme rainfall representation in numerical simulations and hydrological datasets
Jonathan Jalbert A spatio-temporal model for extreme precipitation simulated by a climate model; with an application for assessing changes in return levels over North America
3:00-3:30pm Coffee break
3:30-5:00pm Raphael Huser Factor Copula Models for Replicated Spatial Data
Brian Reich A spatial Markov model for extremes

 

 

Invited speakers:

  • Veronica Berrocal, University of Michigan 
  • Gregory Bopp, Penn State University
  • Dan Cooley, Colorado State University
  • Peter Craigmile, The Ohio State University
  • Miranda Fix, Colorado State University
  • Eric Gilleland, National Center for Atmospheric Research
  • Whitney Huang, Purdue University
  • Raphael Huser, King Abdullah University of Science and Technology
  • Jonathan Jalbert, McGill University
  • Mauricio Nascimento, Penn State University
  • Doug Nychka, National Center for Atmospheric Research
  • Brian Reich, North Carolina State University
  • Brook Russell, Clemson University
  • Adam Schlosser, Massachusetts Institute of Technology
  • Ben Timmermans, Lawrence Berkeley National Lab
  • Emeric Thibaud, Colorado State University
  • Ben Timmermans, Lawrence Berkeley National Lab
  • Jenny Wadsworth, Lancaster University
  • Michael Wehner, Lawrence Berkeley National Lab