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evacuees were trapped on roadways for close to a day, experiencing fuel, food, and water shortages; lack of access to facilities; and significant frustration. Had the storm hit the Houston–Galveston area directly, the consequences would likely have been formidable, especially given that so many people were trapped on roads. After witnessing Rita and its impacts, several meteorology students at Texas A&M University became interested in investigating Rita’s forecasts and societal impacts in greater depth
evacuees were trapped on roadways for close to a day, experiencing fuel, food, and water shortages; lack of access to facilities; and significant frustration. Had the storm hit the Houston–Galveston area directly, the consequences would likely have been formidable, especially given that so many people were trapped on roads. After witnessing Rita and its impacts, several meteorology students at Texas A&M University became interested in investigating Rita’s forecasts and societal impacts in greater depth
Olympics and Paralympics. The goal of the WWRP S2000 FDP was “to demonstrate the capability of modern forecast systems and to quantify the associated benefits in the delivery of a real-time nowcast service.” To this end, the WWRP S2000 FDP included a largely qualitative and limited quantitative assessment of the social, societal, and economic impacts of the project's forecasts. The Olympic Games is one of a small number of regular large-scale events of international significance where the potential for
Olympics and Paralympics. The goal of the WWRP S2000 FDP was “to demonstrate the capability of modern forecast systems and to quantify the associated benefits in the delivery of a real-time nowcast service.” To this end, the WWRP S2000 FDP included a largely qualitative and limited quantitative assessment of the social, societal, and economic impacts of the project's forecasts. The Olympic Games is one of a small number of regular large-scale events of international significance where the potential for
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
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
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
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
a probabilistic hail model to fill existing gaps in the knowledge of 1) large hail incidence, 2) the societal and economic impacts of large hail across Europe, and 3) the relationship between hail size and damage. Section 2 describes the data and methodology used to analyze hail occurrence and its impacts, section 3 discusses the spatiotemporal characteristics of large hail, section 4 deals with the relationship of hail size with the impacts and section 5 with the injuries and economic
a probabilistic hail model to fill existing gaps in the knowledge of 1) large hail incidence, 2) the societal and economic impacts of large hail across Europe, and 3) the relationship between hail size and damage. Section 2 describes the data and methodology used to analyze hail occurrence and its impacts, section 3 discusses the spatiotemporal characteristics of large hail, section 4 deals with the relationship of hail size with the impacts and section 5 with the injuries and economic
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
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
, 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
, 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
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
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
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
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
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
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
