Articles | Volume 21, issue 8
https://doi.org/10.5194/nhess-21-2407-2021
https://doi.org/10.5194/nhess-21-2407-2021
Research article
 | 
17 Aug 2021
Research article |  | 17 Aug 2021

Social sensing of high-impact rainfall events worldwide: a benchmark comparison against manually curated impact observations

Michelle D. Spruce, Rudy Arthur, Joanne Robbins, and Hywel T. P. Williams

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Latest update: 04 Nov 2024
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Short summary
Despite increased use of impact-based weather warnings, the social impacts of extreme weather events lie beyond the reach of conventional meteorological observations and remain difficult to quantify. This study compares data collected from the social media platform Twitter with a manually curated database of high-impact rainfall events across the globe between January–June 2017. Twitter is found to be a good detector of impactful rainfall events and, therefore, a useful source of impact data.
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