TY - JOUR

T1 - Preparing for Doris

T2 - Exploring public responses to impact-based weather warnings in the United Kingdom

AU - Taylor, Andrea L.

AU - Kause, Astrid

AU - Summers, Barbara

AU - Harrowsmith, Melanie

PY - 2019/10

Y1 - 2019/10

N2 - In the United Kingdom, the Met Office issues regionally calibrated impact-based weather warnings. These aim to reduce harm to people and property. To decrease risk from severe weather, it is important to understand how members of the U.K. public interpret and act on these warnings. This paper addresses this through a postevent survey (n = 552) conducted following Storm Doris, a 2017 winter storm during which wind warnings were issued across much of the United Kingdom. Survey questions examined 1) understanding of impact-based wind warnings, 2) interpretation of local warning level, 3) predictors of perceived local risk (likelihood, impact severity, concern) implied by warnings, 4) predictors of trust in the forecast, and 5) predictors of recalled and anticipated action. Our findings indicate that U.K. residents generally understand that weather warnings are based on potential weather impacts, although many do not realize warnings are regionally calibrated. We also find that while local warning levels are rarely underestimated, they may sometimes be overestimated. Institutional trust in the Met Office and perceived vulnerability to weather predict both perceived risk and behavioral response, while warning ‘‘understandability’’ is linked to greater trust in the forecast. Strikingly, while differences in local warning levels influenced risk perception, they did not affect recalled or intended behavioral response. This study highlights the importance of institutional trust in the effective communication of severe weather warnings, and a need for education on impact-based weather warnings. Above all, it demonstrates the need for further exploration of the effect of weather warnings on protective behavior.

AB - In the United Kingdom, the Met Office issues regionally calibrated impact-based weather warnings. These aim to reduce harm to people and property. To decrease risk from severe weather, it is important to understand how members of the U.K. public interpret and act on these warnings. This paper addresses this through a postevent survey (n = 552) conducted following Storm Doris, a 2017 winter storm during which wind warnings were issued across much of the United Kingdom. Survey questions examined 1) understanding of impact-based wind warnings, 2) interpretation of local warning level, 3) predictors of perceived local risk (likelihood, impact severity, concern) implied by warnings, 4) predictors of trust in the forecast, and 5) predictors of recalled and anticipated action. Our findings indicate that U.K. residents generally understand that weather warnings are based on potential weather impacts, although many do not realize warnings are regionally calibrated. We also find that while local warning levels are rarely underestimated, they may sometimes be overestimated. Institutional trust in the Met Office and perceived vulnerability to weather predict both perceived risk and behavioral response, while warning ‘‘understandability’’ is linked to greater trust in the forecast. Strikingly, while differences in local warning levels influenced risk perception, they did not affect recalled or intended behavioral response. This study highlights the importance of institutional trust in the effective communication of severe weather warnings, and a need for education on impact-based weather warnings. Above all, it demonstrates the need for further exploration of the effect of weather warnings on protective behavior.

KW - Sustainability sciences, Communication

KW - Psychology

UR - http://www.scopus.com/inward/record.url?scp=85073566630&partnerID=8YFLogxK

U2 - 10.1175/WCAS-D-18-0132.1

DO - 10.1175/WCAS-D-18-0132.1

M3 - Journal articles

AN - SCOPUS:85073566630

VL - 11

SP - 713

EP - 729

JO - Weather, Climate, and Society

JF - Weather, Climate, and Society

SN - 1948-8327

IS - 4

ER -