Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: A modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy)

To improve hydrological predictions, real-time measurements derived from traditional physical sensors are integrated within mathematic models. Recently, traditional sensors are being complemented with crowdsourced data (social sensors). Although measurements from social sensors can be low cost and more spatially distributed, other factors like...

Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?

Monitoring stations have been used for decades to properly measure hydrological variables and better predict floods. To this end, methods to incorporate these observations into mathematical water models have also been developed. Besides, in recent years, the continued technological advances, in combination with the growing inclusion of...