Early Warning
Develop AI-based early warning components to forecast coastal hazards and provide timely alerts to authorities and citizens.
MOIRAI develops AI-enabled early warning systems and multi-criteria vulnerability and resilience assessment frameworks for coastal regions in the Mediterranean, North Sea and Arctic.
MOIRAI integrates Earth observation data, AI-based surrogate models and multi-hazard risk analytics to support coastal communities facing climate-driven threats such as flooding, storm surge and extreme winds.
The project builds the REASSHORE core system and user interaction modules to connect early warning, decision support and local stakeholders across three representative demo regions.
Develop AI-based early warning components to forecast coastal hazards and provide timely alerts to authorities and citizens.
Create a multi-criteria framework to quantify vulnerability, exposure and resilience of coastal communities and infrastructures.
Implement the REASSHORE core system and user modules for interactive risk exploration, scenario analysis and decision support.
Multi-criteria assessment framework combining hazard, exposure, sensitivity and adaptive capacity indicators for coastal communities.
AI-based surrogate models, core system infrastructure and user interaction module for REASSHORE.
Support deployments in Mediterranean, North Sea and Arctic demo sites, including integration with local data and stakeholders.