Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1473-2018
https://doi.org/10.5194/hess-22-1473-2018
Review article
 | Highlight paper
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28 Feb 2018
Review article | Highlight paper |  | 28 Feb 2018

Citizen observations contributing to flood modelling: opportunities and challenges

Thaine H. Assumpção, Ioana Popescu, Andreja Jonoski, and Dimitri P. Solomatine

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Cited articles

Albrecht, F., Zussner, M., Perger, C., Durauer, M., See, L., McCallum, I., Fritz, S., and Kainz, W.: Using student volunteers to crowdsource land cover information, in: GI_Forum 2014. Geospatial Innovation for Society – Conference Proceedings, edited by: Vogler, R., Car, A., Strobl, J., and Griesebner, G., Austrian Academy of Sciences Press, Vienna, Austria, 314–317, 2014. 
Alfonso, L., Lobbrecht, A., and Price, R.: Using mobile phones to validate models of extreme events, in: 9th International Conference on Hydroinformatics, Tianjin, China, 1447–1454, 2010. 
Alfonso, L., Chacón, J. C., and Peña-Castellanos, G.: Allowing citizens to effortlessly become rainfall sensors, in: E-proceedings of the 36th IAHR World Congress, The Hague, the Netherlands, 28 June–3 July, 2015. 
Aspuru, I., García, I., Herranz, K., and Santander, A.: CITI-SENSE: methods and tools for empowering citizens to observe acoustic comfort in outdoor public spaces, Noise Mappin, 3, 37–48, https://doi.org/10.1515/noise-2016-0003, 2016. 
Aulov, O., Price, A., and Halem, M.: AsonMaps: a platform for aggregation visualization and analysis of disaster related human sensor network observations, in: ISCRAM 2014 Proceedings – 11th International Conference on Information Systems for Crisis Response and Management, Pennsylvania, USA, 2014. 
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Short summary
Citizens can contribute to science by providing data, analysing them and as such contributing to decision-making processes. For example, citizens have collected water levels from gauges, which are important when simulating/forecasting floods, where data are usually scarce. This study reviewed such contributions and concluded that integration of citizen data may not be easy due to their spatio-temporal characteristics but that citizen data still proved valuable and can be used in flood modelling.