Resilient Cities

By Jerry Skees, Ntongi McFadyen, and Janot Mendler de Suarez

Disaster risk finance has traditionally focused on repairing physical infrastructure after catastrophic events. But the most severe impacts on urban communities often strike before major structural damage occurs — when water treatment systems are overwhelmed, wastewater facilities shut down, or utilities lose power. These disruptions happen far more often than infrastructure collapse, and their consequences for public health, economic activity, and community well-being can be just as severe.

Improved weather forecasting now gives cities the lead time to act — converting better forecasts into prearranged financing and anticipatory action that keeps essential services running through any crisis.

Why Service Continuity Is the Core of Urban Resilience

Water supply disruptions trigger cascading impacts across the entire urban system: disease outbreaks, disrupted clinical operations, food insecurity, and economic paralysis. Restoring water service quickly is among the greatest accelerators of overall community recovery. The same logic applies across all critical services — when cities lose continuity, costs compound rapidly and the most vulnerable pay the highest price.

Studies show anticipatory action consistently achieves benefit-cost ratios of 7:1 or greater — and proactive continuity planning strengthens municipal credit profiles and improves access to long-term resilience financing.

A Three-Layer Finance Structure

Forecast-linked financing draws on established best practices in disaster risk finance, using a three-layer risk structure for cost efficiency. Budget reserves and contingency lines cover frequent events. Contingent credit addresses moderate shocks — roughly one-in-five to one-in-fifteen year events. Parametric insurance covers rare, high-severity events at the tail of the risk distribution. Unlike traditional indemnity products, parametric payouts are triggered by objective thresholds — not damage assessments — so funds arrive within days, not months.

Forecast information can now drive triggers across all three layers simultaneously.

Forecasting Is Now Trustworthy

Recent upgrades across global and regional forecast systems have dramatically strengthened the scientific foundation for parametric triggers. AI weather models — including Aurora from Microsoft, AIFS from ECMWF, and WeatherNext2 from Google — now deliver skillful sub-seasonal forecasts out to 60 days, surpassing physics-based models beyond day two. Improvements to ECMWF's ensemble systems, Copernicus GloFAS hydrology, and NOAA's tropical cyclone modeling create a transparent, skillful ecosystem that supports defensible, pre-committed triggers for financing and early action.

The cases of Hurricane Melissa in Jamaica in October 2025 and Hurricane Sandy in New York City in 2012 illustrate both the cost of unpreparedness and the potential of this approach. In Jamaica, new forecasting systems provided multiple days of advanced warning — but without pre-arranged financing, the opportunity to act was lost. In New York, retrospective analysis using Aurora AI demonstrates considerably higher predictive skill at longer lead times, showing what pre-deployed resources could have prevented.

A Partnership Opportunity

GCDRP is seeking partners to pilot and scale forecast-linked parametric financing for urban service continuity. Active discussions are underway with WaterStep, Clean Water Help, and Prof. Upmanu Lall at Arizona State University. An emerging framework has been shared with select UN agencies and development finance institutions. We welcome further engagement.