Articles | Volume 21, issue 8
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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2020-413', Anonymous Referee #1, 08 May 2021
    • AC1: 'Reply on RC1', Michelle Spruce, 25 Jun 2021
  • RC2: 'Comment on nhess-2020-413', Anonymous Referee #2, 17 May 2021
    • AC2: 'Reply on RC2', Michelle Spruce, 25 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (28 Jun 2021) by Olga Petrucci
AR by Michelle Spruce on behalf of the Authors (05 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (19 Jul 2021) by Olga Petrucci
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.
Final-revised paper