Probabilistic flood extent estimates from social media flood observations

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

doi:https://doi.org/10.5194/nhess-17-735-2017

Articles | Volume 17, issue 5

https://doi.org/10.5194/nhess-17-735-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-17-735-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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

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Final revised paper (published on 19 May 2017)
Preprint (discussion started on 25 Nov 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee comment', Anonymous Referee #1, 26 Dec 2016
- AC1: 'response to RC1', Dirk Eilander, 03 Mar 2017
RC2: 'A rigorous method and useful application case', Anonymous Referee #2, 19 Jan 2017
- AC2: 'response to RC2', Dirk Eilander, 03 Mar 2017

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.