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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 22, issue 2
Hydrol. Earth Syst. Sci., 22, 1473–1489, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 1473–1489, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Review article 28 Feb 2018

Review article | 28 Feb 2018

Citizen observations contributing to flood modelling: opportunities and challenges

Thaine H. Assumpção et al.
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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,, 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. 
Publications Copernicus
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.
Citizens can contribute to science by providing data, analysing them and as such contributing to...