Program

Monday, June 13, 2022

Opening

Session 1

09:00-09:25	"FloodVis: Visualization of Climate Ensemble Flood Projections in Virtual Reality"
		Marzan Tasnim Oyshi, Verena Maleska, Jochen Schanze, Franziskus Bormann, RaimundDachselt, and Stefan Gumhold
                (VIRTUAL)

09:25-09:50	"Tornado Visualizer: Analyzing the Destructive Impact of Tornadoes in the United States"
		Nikolaj Vinkel Hansen, Simon Lorentzen, Sofie Widell, Jakob Kusnick, and Stefan Jänicke
                (PRESENT)
  
09:50-10:15	"AtmoVis: Web Based Visualization of Air Quality Data with Interconnected Windows"
		Benjamin Powley, Craig Anslow, and David Pearce
                (VIRTUAL)

10:15-10:40	"LiDAR Operation and Digital Modeling Visualization to Communicate Stormwater Management at Green Spaces in Developing Regions
		Chien-Yu Lin, Yang Liu, Aidan Ackerman, Douglas Johnston, and Guohang Tian
                (VIRTUAL)

10:40 – 11:00 Break

Session 2

11:10-12:30	Keynote by Nadine Fleischhut (Hans-Ertel-Centre for Weather Research -  WEXICOM)
    		Boosting risk literacy: How to transparently communicate uncertainty to lay audiences
    		(VIRTUAL)
                
                Abstract
                As of today, forecasts and warnings for severe weather events are still often communicated
                in a deterministic way, despite the probabilistic nature of the underlying data. One main
                concern has been the difficulty to transparently communicate probability information
                to lay audiences in order to guide their decision. In this talk, I will give a primer
                on risk communication. I will introduce some key challenges for communicating uncertainty,
                review examples of do’s and don'ts, and present insights from risk communication research
                on how to communicate uncertainty in a transparent way. I will conclude by outlining
                crucial steps to boost the risk literacy of the public and decision makers in real-world situations. 

Closing