INFER: INformation Fusion für Impakt-Vorhersagen hydrologischer ExtReme

Fusion, management, and exploration of heterogeneous data from multiple sources and its integration into model-based operational forecasting and warning systems.

Impact prediction models support hazard mitigation and management of water management systems. Impact prediction requires a wide range of information on hydrological variables and their interactions with socio-economic factors. To this end, AI methods for heterogeneous data exploration and fusion are being developed to improve impact predictions based on additional data not typically considered in traditional modeling approaches.