Public Information Priorities across Weather Hazards and Time Scales

Author:

Krocak Makenzie J.1,Ripberger Joseph T.2,Ernst Sean1,Silva Carol2,Jenkins-Smith Hank2,Bitterman Abby2

Affiliation:

1. Institute for Public Policy Research and Analysis, University of Oklahoma, and Cooperative Institute for Severe and High-Impact Weather Research and Operations, and NWS Storm Prediction Center, Norman, Oklahoma;

2. Institute for Public Policy Research and Analysis, University of Oklahoma, Norman, Oklahoma

Abstract

Abstract As the abundance of weather forecast guidance continues to grow, communicators will have to prioritize what types of information to pass on to decision-makers. This work aims to evaluate how members of the public prioritize weather forecast attributes (including information about location, timing, chance, severity, impacts, and protective actions) on average and across event timelines in the severe, tropical, and winter weather domains. Data from three demographically representative surveys of U.S. adults indicate that members of the public generally prioritize information about event location, timing, and severity when evaluating the importance of forecast attributes. This pattern is largely consistent across hazard domains but varies across event timelines. In early stages of a forecast (such as the outlook time scale), people generally prioritize information about chance and location. In middle stages (watch time scale), event timing and severity become more important. In late stages (warning time scale), information about protective actions is a higher priority, especially for people with less exposure to a hazard.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference16 articles.

1. A North American hourly assimilation and model forecast cycle: The Rapid Refresh;Benjamin, S. G.,2016

2. Refining the baseline: Public reception, understanding, and responses to winter weather forecasts and warnings in the contiguous United States;Bitterman, A.,2022

3. Exploring the watch-to-warning space: Experimental outlook performance during the 2019 spring forecasting experiment in NOAA’s Hazardous Weather Testbed;Gallo, B. T.,2022

4. Utilizing the high-resolution ensemble forecast system to produce calibrated probabilistic thunderstorm guidance;Harrison, D. R.,2022

5. IEM, 2022: Archived NWS watch, warnings, advisories. Iowa Environmental Mesonet, accessed 24 June 2022, https://mesonet.agron.iastate.edu/request/gis/watchwarn.phtml.

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