What is it about?
Broadcast meteorologists play an important role in communicating information about hurricanes. Our study investigates how specifically these meteorologists make sense of Hurricane Harvey, a storm that devastated the Houston area in 2017. We find that the meteorologists rely heavily on figurative language to make sense of the storm as a whole (e.g. by comparing it to a ravenous monster) and they rely on intense, often personal language, to emphasize the severity of the situation.
Featured Image
Photo by NASA on Unsplash
Why is it important?
While previous studies have shown how important broadcast meteorologists are in delivering understandable information during high-impact weather events, our study is among the first to study the specific strategies these meteorologists use and how they change over the course of the event. We see the results of this study as the first step in developing a toolkit for weather communicators (and other risk communicators) to use when communicating about high-impact hazards in order to boost understanding and compliance with risk-taking behaviors.
Perspectives
Read the Original
This page is a summary of: Machines, Monsters, and Coffin Corners: Broadcast Meteorologists’ Use of Figurative and Intense Language during Hurricane Harvey, Bulletin of the American Meteorological Society, August 2020, American Meteorological Society,
DOI: 10.1175/bams-d-19-0205.1.
You can read the full text:
Resources
99th Annual AMS Meeting Presentation - January 8, 2019
Presentation of results at the 99th Annual American Meteorological Society Meeting on January 8, 2019 in Phoenix, AZ. Presented in the 14th Symposium on Societal Applications: Policy, Research and Practice.
Discussion of results on WeatherHype podcast
I appeared on the WeatherHype podcast with Castle Williams and Minh Phan, where we discussed the results from the project and some of my personal experience doing this research and working with this data
KHOU Harvey videos used for our analysis
YouTube playlist of the live videos we used for our analysis
Contributors
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