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A Spatial Analysis of Simulated Tornado Warning Decisions in the United States: Preliminary Results
Topics: Hazards and Vulnerability
, Hazards, Risks, and Disasters
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Keywords: Decision-Making, Vulnerability, Tornado Warnings Session Type: Virtual Poster Day: Wednesday Session Start / End Time: 4/7/2021 09:35 AM (Pacific Time (US & Canada)) - 4/7/2021 10:50 AM (Pacific Time (US & Canada)) Room: Virtual 51
Authors:
Taylor DeWinter, University of Oklahoma, Department of Geography and Environmental Sustainability
Renee McPherson, University of Oklahoma, South Central Climate Adaptation Science Center
Joseph Ripberger, University of Oklahoma, Center for Risk and Crisis Management Center, National Institute for Risk and Resilience
Kim Klockow-McClain, University of Oklahoma, Cooperative Institute for Mesoscale Meteorological Studies, NOAA National Severe Storms Laboratory
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Abstract
Decision-making as it relates to tornado warnings is heavily researched. However, many of these studies do not incorporate a spatial analysis of tornado warning decisions comparing them to different geographical locations and populations. This study uses data from a simulated tornado warning decision experiment to examine how decision-making varies across the United States. First, multilevel regression analysis and poststratification (MRP) is used to determine if there are certain “types” of people that are more prone to making incorrect decisions and estimating geographically where these populations might be located. Second, these results are compared to the Social Vulnerability Index to see if these locations coincide with pre-determined locations of social vulnerability to environmental hazards. The preliminary results will be presented.
A Spatial Analysis of Simulated Tornado Warning Decisions in the United States: Preliminary Results
