Near Real-time Flood Threat Recognition Improves Resiliency in Urban, Peri-urban and Natural Watersheds

Occurrences of heavy rainfall and flooding events are increasingly impacting people and infrastructure. Understanding how your watershed responds to heavy precipitation is gained through high-resolution rainfall mapping and gridded physics-based hydrologic/hydraulic modeling. This approach helps improve resiliency by reducing the public's exposure to flooding. Emergency responders benefit from knowing when and where flooding is likely to occur, with lead time on where to close or barricade intersections. Results are discussed that demonstrate the importance of detecting rainfall patterns associated with an extreme event, and ability to transform gridded rainfall into runoff to provide notifications and lead-time.