edu.ucar.opensky::articles:42880 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T17:58:50.494526 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d73f4v1v https://doi.org/10.17603/ds2-05s8-ah21 https Related Dataset #1 2021 Hurricane Henri predictive and post-storm survey instruments https://doi.org/10.17603/ds2-j9hc-xy24 https Related Dataset #2 2020 Hurricanes Laura and Marco predictive and post-storm survey instruments https://doi.org/10.17603/ds2-n1rz-ak22 https Related Dataset #3 2022 Hurricane Ian predictive and post-storm survey instruments Collecting longitudinal, perishable social science observations during hurricanes 2025-01-01T00:00:00Z publication https://n2t.net/ark:/85065/d73f4v1v https://doi.org/10.1175/BAMS-D-23-0291.1 Demuth, Julie L. author Schumacher, Andrea author Morss, Rebecca E. author Wong-Parodi, G. author Herbert, N. author Walpole, H. D. author Alland, J. J. author UCAR/NCAR - Library publisher A hurricane is highly dynamic, evolving over minutes, hours, and days. It can change in intensity, track, and translational speed, all of which can change the hazards from wind, tornado, storm surge, and inland flooding. A sophisticated meteorological observation network exists to observe hurricanes over time, to monitor, understand, and forecast their evolution. It is reasonable to think that people also are dynamic, evolving in response to evolving hurricane risks. Yet, very little is known about how people perceive and respond to hurricane risks over time because developing such knowledge requires collecting social science observational data repeatedly from the same set of individuals in real time during a real-world hurricane event. We describe the methodology we developed and implemented to collect such longitudinal, perishable social science observations for three hurricane events: Laura and Marco in 2020, Henri in 2021, and Ian in 2022. With these data, we examined whether, when, and how people&#8217;s amount of forecast information obtained and risk perceptions changed during each of these events. A key finding is that people were dynamic, updating their perceptions and behaviors over time as the hurricanes evolved rather than anchoring on early knowledge and assessments. Moreover, the ways people were dynamic varied based on their predicted exposure to different hurricane hazards and across the hurricane events. Based on the novel insights this research yields, we advocate scaling and expanding this methodology to collect such data for additional hurricanes and for different high-impact and extreme weather hazards. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication <span style="font-family:Arial;font-size:10pt;font-style:normal;font-weight:normal;" data-sheets-root="1">Copyright 2025 American Meteorological Society (AMS).</span> None eng geoscientificInformation