How concerning is Lucifer? Insights from an experimental study of public responses to heat event naming in England and Italy

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Meteorological Applications Pub Date : 2024-11-25 DOI:10.1002/met.70017
Barbara Summers, Andrea Taylor, Pietro Bellomo, Suraje Dessai
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Abstract

Summer 2023 saw record high temperatures across several European countries with these heat events being unofficially dubbed Cerberus and Charon. This has led to discussion about whether naming severe heat events is an effective way to convey the risks posed. In online experiments with regionally representative sample of members of the public in England and Italy, we assessed the effect of giving a heat event a mythological, non-mythological or no name on anticipated severity, concern, trust/confidence and behavioural intention. We find that while naming alone does not have a strong effect on anticipated response to severe heat events in either country, going against the established trend of using mythological names in Italy could diminish concern.

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路西法有多令人关注?从英国和意大利公众对热事件命名反应的实验研究中获得的启示
2023 年夏季,欧洲多个国家出现了创纪录的高温,这些高温事件被非正式地命名为 "地狱犬 "和 "卡戎"。这引发了人们对命名严重高温事件是否是传达所带来风险的有效方式的讨论。在对英格兰和意大利具有地区代表性的公众样本进行的在线实验中,我们评估了给高温事件命名为神话、非神话或无命名对预期严重性、担忧、信任/信心和行为意向的影响。我们发现,在这两个国家中,虽然单独命名对预期对严重高温事件的反应没有很大影响,但在意大利,与使用神话名称的既定趋势相反,使用神话名称可能会降低关注度。
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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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