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Heather Lazrus, Betty H. Morrow, Rebecca E. Morss, and Jeffrey K. Lazo

1. Introduction How do people who may be at particular risk of hurricane impacts receive, understand, and respond to hurricane forecast and warning information? To explore this question, we conducted research in a hurricane-prone region focusing on populations that can be characterized as being particularly vulnerable related to hurricane response. Vulnerability is broadly understood in the field of hazards research as differential susceptibility to damage or harm from a hazard, such as a

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David Samuel Williams

increasing their societal impact through an emancipatory approach. To illustrate this potential, the concept of multilevel governance for climate change adaptation will be described before embedding autonomy within this governance concept and referring this to the theoretical foundations of participatory research. Four categories of participatory research (functionalistic, neoliberal, deliberative, and emancipatory) ( Alcántara et al. 2014 ) will then be presented, and previous applications of

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

vulnerability in many different ways (e.g., Cutter 1996 ; Department of Homeland Security 2010 ; Morss et al. 2011 ; Paul 2011 ; IPCC 2012 ). To remain consistent with prior research that has investigated tornado threats and societal impacts (e.g., Brooks et al. 2003 ; Dixon et al. 2011 ; Coleman and Dixon 2014 ; Ashley and Strader 2016 ; Strader and Ashley 2018 ), this study utilizes the basic climatological definition of risk that equates to the probability of a tornado occurring in space

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Stephen M. Strader, Walker S. Ashley, Thomas J. Pingel, and Andrew J. Krmenec

such as tornado occurrence ( Brooks et al. 2003a ; Dixon et al. 2011 ; Elsner et al. 2014 ), economic impact ( Daneshvaran and Morden 2007 ; Simmons et al. 2013 ), and daily or seasonal timing ( Brooks et al. 2003a ; Dixon et al. 2011 ). Additional research (e.g., Rae and Stefkovich 2000 ; Wurman et al. 2007 ; Hall and Ashley 2008 ; Paulikas and Ashley 2011 ; Ashley et al. 2014 ; Rosencrants and Ashley 2015 ; Ashley and Strader 2016 ) has focused on societal exposure to tornadoes

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Tamara U. Wall, Alison M. Meadow, and Alexandra Horganic

, coproduction of knowledge, or societal impacts of science—using a process analogous to snowball sampling ( Given 2008 ) by using the search tool “Web of Knowledge” to identify journal articles and books cited by or within several key works in the field (e.g., Lemos and Morehouse 2005 ; Dilling and Lemos 2011 ; Bellamy et al. 2001 ; Reed 2008 ; Fazey et al. 2014 ; Walter et al. 2007 ; Cvitanovic et al. 2015 ; Feldman and Ingram 2009 ; McNie 2007 ) that helped us trace the similarities and

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Stephen M. Strader and Walker S. Ashley

in creating the potential for tornado disaster, the consequences or severity of tornado impacts on populations are controlled largely by the underlying physical and societal vulnerabilities. To date, there has been little research on how tornado risk and MH resident vulnerability act together at fine spatial scale to create tornado disaster potential in the Southeast. Research investigating tornado risk has examined spatiotemporal aspects of tornado occurrence (e.g., Brooks et al. 2003

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Jeffrey K. Lazo

Weather, Climate, and Society the most valuable and dynamic journal in terms of moving the various disciplines forward in new, challenging, and interesting areas of societally relevant research, methods, and applications. A final note about my colleague who asked for advice on the use of the cost–loss model in his manuscript: in discussing his project, he noted that part of his extended team included social scientists who were examining the societal impact of the improved flood warning system. Rather

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G. Roder, G. Sofia, Z. Wu, and P. Tarolli

a social vulnerability analysis at a municipality level by the use of the Social Vulnerability Index (SoVI). This methodology has been adapted to this study case according to the societal and historical construction of the area. In a second stage, this research offers a spatial identification of the areas that might be highly exposed to flood risk by a combination analysis of the SoVI scores and recent flood hazard data. The chosen area could seem relatively small. However, the municipalities

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Vikram M. Mehta, Cody L. Knutson, Norman J. Rosenberg, J. Rolf Olsen, Nicole A. Wall, Tonya K. Bernadt, and Michael J. Hayes

DCV phenomenon relevant to the basin. Moreover, as the reliability and lead time of useful prediction skill of the DCOs increase, the greater will be their role in decision making in all impacted sectors. Since impacts on many societal sectors occur as a result of weather variability, it was stated that the DCOs should include some information about intraseasonal weather statistics over the DCO period. In general, participants judged that DCOs could be very useful in guiding a broad range of short

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Peter N. Peregrine

1. Introduction This paper tests two hypotheses about social resilience to climate-related disasters using data from ancient societies. The paper is in no way unique in using archaeological data to examine the societal impact of natural disasters or mechanisms of social resilience (e.g., Cooper and Sheets 2012 ; Fisher et al. 2009 ; Hegmon et al. 2008 ; Redman 2005 ), but it is unique in doing so using cross-cultural comparison of ancient societies throughout the world. A strength of cross

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