The Middle East Anticipatory Climate Action Model (MEACAM) is a pioneering multi-hazard early warning platform predicting flash flooding and drought in Iraq, Syria, and Yemen. Designed as the cornerstone of a broader early warning system, it informs Anticipatory Action programming in these countries. The platform features innovative flash flood forecasts based on synthetic aperture radar intensity predictions and proprietary drought forecasts that accurately predict proportional differences from average NDVI in disaggregated geographic locations. Built with accessible interfaces for stakeholders with varying technical expertise, the system ensures local data sovereignty while integrating multiple data sources.
The Challenge
Mercy Corps and EU ECHO needed a multi-hazard early warning system for flash flooding and drought across Iraq, Syria, and Yemen, with accurate predictions that could inform Anticipatory Action programming while maintaining local data sovereignty.
Our Solution
We developed MEACAM, a pioneering AI-powered early warning platform featuring innovative flash flood forecasts using synthetic aperture radar predictions and proprietary drought forecasts with NDVI analysis. The system integrates multiple data sources while ensuring accessible interfaces for stakeholders with varying technical expertise and maintaining local data sovereignty.
Technologies Used
Key Outcomes
- Created pioneering multi-hazard early warning platform
- Enabled Anticipatory Action programming in three countries
- Maintained local data sovereignty
- Provided accessible interfaces for diverse stakeholders