Curating and assimilating crowdsourced and authoritative data for improved modelling of river flow and morphology (RiverCure)

Type: National Project Project

Duration: from 2018 Jun 14 to 2022 Jun 13

Financed by: FCT

Prime Contractor: R - IST-ID (Other) - Lisboa, Portugal

Project Web Site:

RiverCure addresses the issue of reducing uncertainty and improving forecasting capabilities of hydrodynamic and morphodynamic mathematical models for flood simulation, water resources management and habitat protection. Profiting from recent advances in collecting and processing crowdsourced information produced by riverine communities and shared in internet sites and social media, RiverCure will contribute to improve the forecasting capabilities of mathematical models of rivers by making an efficient and systematic use of curated crowdsourced and authoritative data through assimilation and calibration. The key outputs of the project are: a new-generation river model with embedded DA and calibration; an IT platform to articulate data and model forecasts; curated databases combining authoritative and crowdsourced data. RiverCure?s impact transcends its alignment with ENEI and Lisbon?s EREI: it will benefit water governance entities in water management and risk mapping activities.


  • Agência Portuguesa do Ambiente (APA) I.P. (Other) - Lisbon, Portugal
  • R - INESC-ID Lisboa (Other) - Lisboa, Portugal
  • R - IST-ID (Other) - Lisboa, Portugal

Principal Investigators