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.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3