Using crowdsourced web content for informing water systems operations in snow-dominated catchments

Giuliani, Matteo; Castelletti, Andrea; Fedorov, Roman; Fraternali, Piero

doi:https://doi.org/10.5194/hess-20-5049-2016

Articles | Volume 20, issue 12

https://doi.org/10.5194/hess-20-5049-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-5049-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 12

Research article

|

21 Dec 2016

Research article |

| 21 Dec 2016

Using crowdsourced web content for informing water systems operations in snow-dominated catchments

Matteo Giuliani, Andrea Castelletti, Roman Fedorov, and Piero Fraternali

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Final revised paper (published on 21 Dec 2016)
Preprint (discussion started on 23 Aug 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Referee Report', Anonymous Referee #1, 03 Oct 2016
- AC1: 'Reply to referee #1', Matteo Giuliani, 10 Nov 2016
RC2: 'review', Simon Gascoin, 15 Oct 2016
- AC2: 'Reply to referee #2', Matteo Giuliani, 10 Nov 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (further review by Editor) (11 Nov 2016) by Thom Bogaard

AR by Matteo Giuliani on behalf of the Authors (18 Nov 2016) Author's response Manuscript

ED: Publish as is (23 Nov 2016) by Thom Bogaard

AR by Matteo Giuliani on behalf of the Authors (28 Nov 2016)

Short summary

The unprecedented availability of user-generated data on the Web is opening new opportunities for enhancing real-time monitoring and modeling of environmental systems based on data that are public, low-cost, and spatiotemporally dense. In this paper, we contribute a novel crowdsourcing procedure for extracting snow-related information from public web images. The value of the obtained virtual snow indexes is assessed for a real-world water management problem.