South Carolina Approved New AI Flood Modeling
The state budget mandates a new cloud-hosted flood modeling system to improve emergency response capabilities.
Updated on Oct. 14, 2026 in Safety
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South Carolina has launched an initiative to procure an artificial intelligence-based flood modeling program. The system will provide real-time visualizations and predictive data to enhance state storm planning.
Why it matters
Previous flood models often overestimated impacts, causing unnecessary public panic during disasters. This upgrade aims to provide more accurate information to assist with critical evacuation decisions.
The new program will replace tools that previously yielded inaccurate data, such as a 4-foot versus 2-foot water level discrepancy during 2018 events. This procurement effort follows eight years of advocacy for more precise modeling technology.
The players
South Carolina Office of Resilience
This state agency coordinates disaster recovery and resilience efforts to protect communities from flooding and environmental threats.
Division of Procurement Services
This state department manages the legal and administrative process for acquiring goods and services for South Carolina agencies.
The details
The South Carolina Office of Resilience is currently collaborating with the state division of procurement services to identify a cloud-hosted platform. The system will execute simulated scenarios to help officials better prepare for future weather emergencies.
Timeline
2018: Hurricane Florence caused severe flooding in Horry County.
2024: Hurricane Helene impacted the Midlands and Upstate regions.
2026: A state budget proviso mandated the procurement of the new modeling program.
October 8, 2026: The Office of Resilience began coordination with procurement services.
Seasonal Patterns
The state's move to update its modeling technology marks a direct response to the predictive failures witnessed during the 2018 Hurricane Florence flooding of Horry County.
Residents in flood-prone areas should continue to monitor official alerts and rely on local emergency management guidance while the new system is being implemented. The improved modeling is expected to result in more targeted and timely evacuation orders for future weather events.
The takeaway
The move to AI-driven tools signifies a transition toward data-backed disaster planning in the state. Residents can expect more reliable information during severe weather as the technology improves long-term forecasting accuracy.
Further reading
For more information on state emergency planning, visit South Carolina Safety.
Source note: This article includes information reported by Post and Courier.
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