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

Viewed

Total article views: 2,257 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,509 685 63 2,257 47 48
  • HTML: 1,509
  • PDF: 685
  • XML: 63
  • Total: 2,257
  • BibTeX: 47
  • EndNote: 48
Views and downloads (calculated since 05 Jan 2021)
Cumulative views and downloads (calculated since 05 Jan 2021)

Viewed (geographical distribution)

Total article views: 2,257 (including HTML, PDF, and XML) Thereof 2,120 with geography defined and 137 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Jun 2024
Download
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.
Altmetrics
Final-revised paper
Preprint