Storm naming and forecast communication: A case study of Storm Doris

@article{CharltonPerez2019StormNA,
  title={Storm naming and forecast communication: A case study of Storm Doris},
  author={Andrew James Charlton-Perez and Danica Vukadinovi{\'c} Greetham and Rebecca Hemingway},
  journal={Meteorological Applications},
  year={2019}
}
On the 23rd February 2017, a significant low-pressure system named Storm Doris crossed the Republic of Ireland and the UK causing widespread disruption. As an early example of a storm named through the Met Office and Met Eireann ‘Name our Storms’ project, this provided an excellent opportunity to study how information about extreme weather in the UK spread through the media. In traditional media, the forecast of Storm Doris was widely reported upon on the 21st and 22nd February. On the 23rd… 
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References

SHOWING 1-10 OF 46 REFERENCES
What’s in a #Name? An Experimental Study Examining Perceived Credibility and Impact of Winter Storm Names
AbstractThe practice of naming winter storms has generated a large amount of discussion within the meteorology community of late. While storm naming has typically been reserved for tropical systems,
Do location‐specific forecasts pose a new challenge for communicating uncertainty?
TLDR
The interpretation of rainfall intensity descriptors by the cohort is shown to be significantly different to official and expert assessment of the same descriptors and to have large variance amongst the cohort, but despite these key uncertainties, members of the cohort generally seem to make appropriate decisions about rainfall forecasts.
Variability in Twitter Content Across the Stages of a Natural Disaster: Implications for Crisis Communication
Little is known about the ways in which social media, such as Twitter, function as conduits for information related to crises and emergencies. The current study analyzed the content of over 1,500
The cultural politics of climate change discourse in UK tabloids
In the United Kingdom (UK), daily circulation figures for tabloid newspapers are as much as ten times higher than broadsheet sources. Nonetheless, studies of media representations of climate change
Reflecting on resilience in Broward County, Florida: A newspaper content analysis about Hurricane Wilma recovery
Abstract Resilience is a burgeoning concept in the field of disaster research. While definitions for resilience vary, some scholars distinguish between two scales of resilience: Specified resilience,
Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter
TLDR
The first large-scale validation of the "complex contagion" principle from sociology, which posits that repeated exposures to an idea are particularly crucial when the idea is in some way controversial or contentious, is provided.
Real-Time Crisis Mapping of Natural Disasters Using Social Media
The proposed social media crisis mapping platform for natural disasters uses locations from gazetteer, street map, and volunteered geographic information (VGI) sources for areas at risk of disaster
Ensemble based first guess support towards a risk-based severe weather warning service
TLDR
Calibration of the original MOGREPS-W system improves forecast accuracy of severe wind gust and rainfall warnings by reducing under-forecasting, and verification of forecasts from different groups of areas of different sizes shows that larger areas have better forecast accuracy than smaller areas.
Sentiment strength detection for the social web
TLDR
An improved version of the algorithm SentiStrength for sentiment strength detection across the social web that primarily uses direct indications of sentiment is assessed, suggesting that, even unsupervised, Senti strength is robust enough to be applied to a wide variety of different social web contexts.
Networks: An Introduction
TLDR
This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.
...
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2
3
4
5
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