Articles | Volume 17, issue 5
Research article
19 May 2017
Research article |  | 19 May 2017

Probabilistic flood extent estimates from social media flood observations

Tom Brouwer, Dirk Eilander, Arnejan van Loenen, Martijn J. Booij, Kathelijne M. Wijnberg, Jan S. Verkade, and Jurjen Wagemaker


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by Editor and Referees) (06 Mar 2017) by Paolo Tarolli
AR by Dirk Eilander on behalf of the Authors (08 Mar 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (14 Mar 2017) by Paolo Tarolli
RR by Anonymous Referee #1 (24 Mar 2017)
RR by Anonymous Referee #2 (29 Mar 2017)
ED: Publish subject to technical corrections (18 Apr 2017) by Paolo Tarolli
AR by Tom Brouwer on behalf of the Authors (25 Apr 2017)  Author's response   Manuscript 
Short summary
The increasing number and severity of floods, driven by e.g. urbanization, subsidence and climate change, create a growing need for accurate and timely flood maps. At the same time social media is a source of much real-time data that is still largely untapped in flood disaster management. This study illustrates that inherently uncertain data from social media can be used to derive information about flooding.
Final-revised paper