Identification

Title

Collecting longitudinal, perishable social science observations during hurricanes

Abstract

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’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.

Resource type

document

Resource locator

Unique resource identifier

code

https://n2t.net/ark:/85065/d73f4v1v

codeSpace

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

geoscientificInformation

Keywords

Keyword set

keyword value

Text

originating controlled vocabulary

title

Resource Type

reference date

date type

publication

effective date

2016-01-01T00:00:00Z

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2025-01-01T00:00:00Z

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Limitations on public access

None

Responsible organisations

Responsible party

contact position

OpenSky Support

organisation name

UCAR/NCAR - Library

full postal address

PO Box 3000

Boulder

80307-3000

email address

opensky@ucar.edu

web address

http://opensky.ucar.edu/

name: homepage

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact