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David Huntsman, Hao-Che Wu, and Alex Greer

Abstract

Scholars have produced several theories and models to explain why individuals adjust to hazards. While findings from these studies are informative, studies have not considered how threat and coping appraisals may have differential effects on varying types of hazard adjustments, or how these findings may generalize to vulnerable populations. This study expands on the protection motivation theory to explore the factors that shape hazard adjustment intentions among college students, a population traditionally defined as vulnerable, in response to tornado risk. An online survey was administered to college students (n = 377) at Oklahoma State University, situated in a region that experiences considerable tornado risk. While the correlations between threat appraisal and tornado hazard adjustment intentions are smaller than the correlations between coping appraisal and tornado hazard adjustment intentions, findings suggest that threat appraisals become more important for influencing college students’ adjustment intentions when adjustment activities are complex (e.g., tornado shelter, home insurance) rather than basic (e.g., flashlight, first-aid kit). This suggests that while both threat appraisals and coping appraisals are important for complex hazard adjustment intentions, basic hazard adjustment intentions are almost exclusively determined by coping appraisals. These findings have several practical implications for emergency management and provide new avenues for future hazard adjustment studies.

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Daniel Leppert, Tobias Dalhaus, and Carl-Johan Lagerkvist

Abstract

Extreme heat events cause periodic damage to crop yields and may pose a threat to the income of farmers. Weather index insurance provides payouts to farmers in the case of measurable weather extremes to keep production going. However, its viability depends crucially on the accuracy of local weather indices to predict yield damages from adverse weather conditions. So far, extreme heat indices are poorly represented in weather index insurance. In this study, we construct indices of extreme heat using observations at the nearest weather station and estimates for each county using three interpolation techniques: inverse-distance weighting, ordinary kriging, and regression kriging. Applying these indices to insurance against heat damage to corn in Illinois and Iowa, we show that heat index insurance reduces relative risk premiums by 27%–29% and that interpolated indices outperform the nearest-neighbor index by around 2%–3% in terms of relative risk reduction. Further, we find that the advantage of interpolation over a nearest-neighbor index in terms of relative risk reduction increases as the sample of weather stations is reduced. These findings suggest that heat index insurance can work even when weather data are spatially sparse, which delivers important implications for insurance practice and policy makers. Further, our public code repository provides a rich toolbox of methods to be used for other perils, crops, and regions. Our results are therefore not only replicable but also constitute a cornerstone for projects to come.

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Meaghan L. Guckian, Ezra M. Markowitz, Clay S. Tucker, Elsita Kiekebusch, Toni Klemm, Lindsey Middleton, Adrienne Wootten, and Michelle D. Staudinger

Abstract

Online science communities can serve as powerful platforms for advancing scientific knowledge, capacity, and outreach by increasing collaboration and information sharing among geographically distant peers, practitioners, and the public. Here, we examine the value and role of the Early Career Climate Forum (ECCF), a climate-focused online science community that is based in the United States and is dedicated to training and providing support to the next generation of climate scientists. In a survey of community users and contributors, we find that the ECCF played a unique role in providing users access to career resources as well as climate-related research and insights. Respondents also indicated that the ECCF provides them with a strong sense of community and a sense of hope for the future of climate science research. These findings highlight the importance of online science communities in shaping and supporting the next generation of scientists and practitioners working at the science–management interface on climate change issues.

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Stephen M. Strader, Alex M. Haberlie, and Alexandra G. Loitz

Abstract

This study investigates the interrelationships between National Weather Service (NWS) county warning area (CWA) tornado risk, exposure, and societal vulnerability. CWA climatological tornado risk is determined using historical tornado event data, and exposure and vulnerability are assessed by employing present-day population, housing, socioeconomic, and demographic metrics. In addition, tornado watches, warnings, warning lead times, false alarm warnings, and unwarned tornado reports are examined in relation to CWA risk, exposure, and vulnerability. Results indicate that southeastern U.S. CWAs are more susceptible to tornado impacts because of their greater tornado frequencies and larger damage footprints intersecting more vulnerable populations (e.g., poverty and manufactured homes). Midwest CWAs experience fewer tornadoes relative to Southeast and southern plains CWAs but encompass faster tornado translational speeds and greater population densities where higher concentrations of vulnerable individuals often reside. Northern plains CWAs contain longer-tracked tornadoes on average and larger percentages of vulnerable elderly and rural persons. Southern plains CWAs experience the highest tornado frequencies in general and contain larger percentages of minority Latinx populations. Many of the most socially vulnerable CWAs have shorter warning lead times and greater percentages of false alarm warnings and unwarned tornadoes. Study findings provide NWS forecasters with an improved understanding of the relationships between tornado risk, exposure, vulnerability, and warning outcomes within their respective CWAs. Findings may also assist NWS Weather Forecast Offices and the Warning Decision Training Division with developing training materials aimed at increasing NWS forecaster knowledge of how tornado risk, exposure, and vulnerability factors influence local tornado disaster potential.

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Sally Potter, Sara Harrison, and Peter Kreft

Abstract

Warnings about impending hazards help to minimize the impacts and reduce the risk of the hazard through encouraging an appropriate and timely behavioral response. Many hydrometeorological agencies are moving toward impact-based forecast and warning (IBFW) systems, as encouraged by the World Meteorological Organization. Yet little research has been conducted on such systems from the perspectives of agencies who are or would be involved in their implementation. We investigated the challenges and benefits of IBFW systems as perceived by participants from agencies internationally and within New Zealand. Interviews and workshops were held with meteorologists and weather forecasters, flood forecasters and hydrologists, and emergency managers. We found that the benefits of implementing IBFW systems included a perceived increase in the understanding of the potential impacts by the public, added awareness of antecedent conditions by forecasters, a possible reduction in “false alarms,” and increased interagency communication. Challenges identified by the participants included whether the system should be designed for individuals or society, a lack of impact data, verification of warnings based on impacts, a conflict with roles and responsibilities, the potential for conflicting messages, and the increased burden on agencies providing information to forecasters with a perception of little benefit in return. We argue that IBFWs could be designed for individual members of the public, with an increased focus on understanding vulnerability and capacities, and that more impact data need to be collected and stored to inform future warnings. Increased interagency coordination would assist with rapid decision-making and the success of IBFWs.

Open access
Vikram S. Negi, Shinny Thakur, Rupesh Dhyani, Indra D. Bhatt, and Ranbeer S. Rawal

Abstract

Mountains are important global sites for monitoring biological and socioecological responses to climate change, and the Himalaya has some of the world’s most rapid and visible signs of climate change. The increased frequency and severity of climate anomalies in the region are expected to significantly affect livelihoods of indigenous communities in the region. This study documents the perceptions of indigenous communities of climate change in the western Himalaya of India. The study highlights the power of knowledge and understanding available to indigenous people as they observe and respond to climate change impacts. We conducted a field-based study in 14 villages that represent diverse socioecological features along an altitudinal range of 1000–3800 m MSL in the western Himalaya. Among the sampled population, most of the respondents (>95%) agreed that climate is changing. However, people residing at low- and high-altitude villages differ significantly in their perception, with more people at high altitudes believing in an overall warming trend. Instrumental temperature and rainfall from nearby meteorological stations also supported the perception of local inhabitants. The climate change perceptions in the region were largely determined by sociodemographic variables such as age, gender, and income as well as altitude. A logistic regression, which exhibited significant association of sociodemographic characteristics with climate change perceptions, further supported these findings. The study concluded that the climate change observations of local communities can be usefully utilized to develop adaptation strategies and mitigation planning in the Himalayan region.

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Carol R. Ember, Ian Skoggard, Benjamin Felzer, Emily Pitek, and Mingkai Jiang

Abstract

All societies have religious beliefs, but societies vary widely in the number and type of gods in which they believe as well as their ideas about what the gods do. In many societies, a god is thought to be responsible for weather events. In some of those societies, a god is thought to cause harm with weather and/or can choose to help, such as by bringing needed rain. In other societies, gods are not thought to be involved with weather. Using a worldwide, largely nonindustrial sample of 46 societies with high gods, this research explores whether certain climate patterns predict the belief that high gods are involved with weather. Our major expectation, largely supported, was that such beliefs would most likely be found in drier climates. Cold extremes and hot extremes have little or no relationship to the beliefs that gods are associated with weather. Since previous research by Skoggard et al. showed that greater resource stress predicted the association of high gods with weather, we also tested mediation path models to help us evaluate whether resource stress might be the mediator explaining the significant associations between drier climates and high god beliefs. The climate variables, particularly those pertaining to dryness, continue to have robust relationships to god beliefs when controlling on resource stress; at best, resource stress has only a partial mediating effect. We speculate that drought causes humans more anxiety than floods, which may result in the greater need to believe supernatural beings are not only responsible for weather but can help humans in times of need.

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Emma J. S. Ferranti, Joanna Ho Yan Wong, and Surindar Dhesi

Abstract

As leaders of civil society, governments have a prime responsibility to communicate climate change information in order to motivate their citizens to mitigate and adapt. This study compares the approaches of the U.K. and Hong Kong governments. Although different in size and population, the United Kingdom and Hong Kong have similar climate change agendas to communicate to similarly educated and prosperous populations. The study finds that while both governments use similar means: policy, education, campaigns, internet, and social media, these have different characteristics, with different emphases in their climate change message. The United Kingdom’s top-down approach is more prominent in its legally binding policy and well-defined programs for adaptation and risk assessment. Hong Kong has more effectively embedded climate change education across the school curricula and has a more centralized and consistently branded campaign, with widespread use of visual language to connect the public to the problem. Hong Kong frames climate change as a science–society problem and has a greater focus on self-responsibility and bottom-up behavioral change. Thus, the U.K. and Hong Kong governments have polarized approaches to motivating their citizens into climate action. Moving forward, both governments should consider best practice elements of the other to develop their communication of climate change.

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Mary McRae, Ross A. Lee, Scott Steinschneider, and Frank Galgano
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Yu-Hsuan Lin, Hen-I Lin, Fang-I Wen, and Sheng-Jang Sheu

Abstract

A better understanding of farmers’ investment strategies associated with climate and weather is crucial to protecting farming and other climate-exposed sectors from extreme hydrometeorological events. Accordingly, this study employed a field experiment to investigate the investment decisions under risk and uncertainty by 213 farmers from four regions of Taiwan. Each was asked 30 questions that paired “no investment,” “investment with crop insurance,” “investment with subsidized crop insurance,” and “investment” as possible responses. By providing imperfect information and various probabilities of certain states occurring, the experimental scenarios mimicked various types of weather-forecasting services. As well as their socioeconomic characteristics, the background information we collected about the participants included their experiences of natural disasters and what actions they take to protect their crops from weather damage. The sampled farmers became more conservative in their decision-making as the weather forecasts they received became more precise, except when increases in risk were associated with high returns. The provision of insurance subsidies also had a conservatizing effect. However, considerable variation in investment preferences was observed according to the farmers’ crop types. For those seeking to create comprehensive policies aimed at helping the agricultural sector deal with the costs of damage from extreme events, this study has important implications. This approach could be extended to research on the perceptions of decision-makers in other climate-exposed sectors such as the construction industry.

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