KCC’s Latest Flood Model Receives Florida Commission’s Certification
Key Points
- The new Kentucky Climate Center flood model recently received approval from the Florida Commission on Hurricane Loss Projection Methodology
- The model will help the state prepare for future hurricanes and improve flood insurance rates
- The model was developed using high-resolution data and advanced computing techniques
Overview
The Kentucky Climate Center (KCC) recently announced that its latest flood model has received certification from the Florida Commission on Hurricane Loss Projection Methodology (FCHLPM). The model, known as the Kentucky Flood Hazard Assessment Tool (K-FHAT), will help the state prepare for future hurricanes and improve flood insurance rates.
K-FHAT is a high-resolution, probabilistic flood model that simulates flooding from hurricanes, heavy rainfall, and riverine flooding. The model was developed using the latest data and advanced computing techniques. It is the first flood model to be certified by the FCHLPM since 2012.
Benefits of K-FHAT
K-FHAT will provide a number of benefits to the state of Florida, including:
- More accurate flood risk assessment: K-FHAT will provide more accurate flood risk assessments than previous models. This will help the state identify areas that are most at risk of flooding and make better decisions about land use planning and flood mitigation.
- Improved flood insurance rates: K-FHAT will help to improve flood insurance rates in Florida. The model will provide more accurate estimates of flood risk, which will allow insurance companies to set rates that are more reflective of the actual risk.
- Better hurricane preparedness: K-FHAT will help the state prepare for future hurricanes. The model can be used to simulate flooding from hurricanes of different sizes and intensities. This information can be used to develop evacuation plans and other emergency preparedness measures.
Conclusion
K-FHAT is a valuable tool that will help the state of Florida prepare for future hurricanes and improve flood insurance rates. The model is the result of years of research and development, and it represents a significant advancement in flood modeling.
