Development of Data-driven Multi-Hazard Early Warning Systems

Effective climate action depends on accurate, timely, and accessible data. Yet in many developing countries, the systems needed to collect, share, and use climate data remain fragmented. This challenge is particularly visible in countries facing high climate vulnerability.

The Maldives, one of the world’s most exposed nations to sea-level rise, and Sierra Leone, which faces increasing rainfall variability and flash flooding, both struggle with fragmented data ecosystems that limit coordinated climate planning.

Recognizing that this challenge extends far beyond any single country, the KGGTF supported the development of a scalable diagnostic tool and institutional roadmap framework designed to help countries assess and strengthen their climate data ecosystems. The Maldives and Sierra Leone served as pilot countries, allowing the methodology to be tested, refined, and demonstrated before broader application across World Bank operations.

 

Grant: Development of Data-driven Multi-Hazard Early Warning Systems 

TTLs: Zaki Khoury, Senior Digital Specialist, World Bank and Seth Ayers, Senior Digital Specialist, World Bank Global

Grant Year: Year 10 (2022)

This grant spotlight is excerpted from the 2025 KGGTF Annual Report (Download here)

 

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