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Storm Uncertainty Representation: User Responses to Novel Visualization

Nathaniel V. KELSO
October 17, 2013
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Storm Uncertainty Representation: User Responses to Novel Visualization

Jennifer Smith Mason – Penn State University
Jason Dykes, Jo Wood, & Aidan Slingsby – City University, London

Nathaniel V. KELSO

October 17, 2013
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  1. Storm Uncertainty Representation: User Responses to Novel Visualization Jennifer Smith

    Mason – Penn State University Jason Dykes, Jo Wood, & Aidan Slingsby – City University, London NACIS October 11, 2013
  2. "Hurricane-warning graphics, despite admirable attempts by the forecast community to

    make user-friendly products and to reach out to emergency managers and the media, are subject to misinterpretation by many members of the public." (Broad et al., 2007, p. 665)
  3. Qualitative Feedback Cone: !  Want better way to see dates

    !  Want wind speeds Wind Speeds: !  Mark trajectory !  Looked realistic
  4. Design Constraints !  Dynamic nature ! Salient !  Wind speeds

    – multivariate (one map) !  Central track uncertainty !  Time
  5. Data http://www.nhc.noaa.gov/gis/ •  Forecast track •  Cone of uncertainty • 

    Wind field •  Wind speed probabilities (39, 58, 74 mph)