4/1/2023 0 Comments Jon bams mad packPerhaps more importantly, it is challenging to identify best practices between communities and/or track changes within communities as enterprise members experiment with new education and communication strategies. As a result, it can be difficult to answer basic questions: 1) What risks do the people in a community worry about or neglect? 2) Do they generally receive, understand, and respond to forecasts and warnings? 3) What sources of information do they rely on and trust? Absent reliable answers to these questions, it is challenging to develop public education and risk communication strategies that fit the specific needs of diverse communities. Enterprise members often have access to a wide variety of data that facilitate the first type of knowledge, but relatively little data on the populations they serve. This includes knowledge about atmospheric and climate conditions in communities as well as knowledge about the people in these communities. Effective education and risk communication across this range requires deep knowledge of the communities that enterprise members serve. These roles and responsibilities range from issuing forecasts and warnings during high impact weather events to outreach and public education campaigns during less turbulent periods. Members of the weather enterprise, including National Weather Service (NWS) fore casters, emergency managers, broadcast meteorologists, and private partners, have many roles and responsibilities. The article concludes with a discussion of next steps and an invitation to use and contribute to the project as it progresses. Verification of the estimates using independent observations from a random sample of communities confirms that the estimates are largely accurate, but there are a few consistent anomalies that prompt questions about why some communities exhibit higher or lower levels of reception, comprehension, and response than models suggest. This variation broadly aligns with tornado climatology, but there are noticeable differences within climatologically comparable regions that underline the importance of community-specific information. Exploration of these estimates indicates significant variation in reception and comprehension across communities. Specific emphasis is given to one set of statistics in the community database: estimates of tornado warning reception, comprehension, and response by county warning area in the contiguous United States. This article introduces an effort to overcome these challenges by developing a database of community statistics and an interactive platform that provides dynamic access to the database. Enterprise members often have access to data that facilitate the first type of knowledge, but relatively little social or behavioral data on the populations they serve. This includes knowledge of the atmospheric and climate conditions in these communities as well as knowledge about the characteristics of the people living in these communities. Effective risk communication in the weather enterprise requires deep knowledge about the communities that enterprise members serve.
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