At KatRisk, we understand that our values drive our technology and services forward, especially in regions vulnerable to intense weather events. We’re proud to announce the expansion of our probabilistic inland flood model to Mexico, Central America, and the Caribbean—a step that reaffirms our commitment to mitigating the growing risks of inland flooding and tropical cyclones.Â
What sets KatRisk’s Inland Flood Model Apart
Here’s what sets our models apart and enables us to provide detailed insights and adaptability: KatRisk’s physically based hydrologic and hydraulic models deliver flood insights at a 30m resolution throughout Mexico, Central America, and the Caribbean, enabling clients to analyze and manage exposure-specific risks for a highly location dependent peril.
The 50,000 year catalog is modulated by KatRisk’s sea surface temperature data set, producing explicit correlation between tropical cyclone and non-tropical cyclone induced precipitation as well as capturing relationships between precipitation and climate indices like El Niño/La Niña. These correlations allow for more accurate quantification and better management of risk, especially for higher magnitude events.
Our inland flood models provide clients full control over vulnerability factors, enabling customization according to claims experience and institutional knowledge. From vulnerability curves to defense assumptions to exposure characteristics, we provide the flexibility to produce actionable risk assessments.
Minimize inefficiencies and produce analyses more quickly. KatRisk’s best-in-class computational speed and accessible automation tools allow clients to gain insight into their risk and make policy decisions quickly and confidently.
By expanding our inland flood model to these crucial regions, KatRisk is not just responding to a need for better risk management tools; we are actively participating in building more resilient communities. Our technology is a testament to our values: innovation, precision, and a relentless commitment to serving our clients with the best in catastrophe risk modeling.
