Precise, property-level flood catastrophe model for Brazil.
Based on our market-leading flood hazard model, Brazil FloodCat™ enables detailed analysis of potential losses from flooding.
At a Glance
- Flood catastrophe model focused on the Santa Catarina region
- Census tract-level precision
- Fluvial flooding loss estimation
- Flowroute-i™ 2D flood model
- Full probabilistic event catalogue
- Up-to-date detailed vulnerability data
Brazil FloodCat includes more than 10,000 years of realistic synthetic flooding events, as well as major historic flood events throughout the Santa Catarina region to give accurate catastrophic flood information right down to individual property level.
Property vulnerability is classified according to usage, occupancy, construction type and other factors. So you can fully understand and quantify the impact of a full range of flood loss scenarios.
Working in close collaboration with the insurance industry, Brazil FloodCat has been thoroughly tested and validated against both historic floods and losses. It’s available immediately through Aon Benfield’s powerful, easy-to-use ELEMENTS platform.
Benefits
- Highly accurate overview of risk
- Extensively tested and validated
- Available now in ELEMENTS
Brazil
The World Bank asked us to produce flood hazard maps and flood risk loss analysis for Santa Caterina state, Brazil, to help identify ways to reduce flood risk.
Australia FloodCat™
Improve capital allocation, strengthen flood underwriting strategy and optimise your reinsurance with Australia FloodCat™.
Flood Risk Modelling for the State of Santa Catarina in Brazil
Providing flood hazard mapping and probabilistic flood risk assessment to support international governments.
The data developed by Brazil FloodCat is used by the Brazilian government and the World Bank to analyse risk.
Get in Touch
To get a quote or to discuss what you need, contact Ted Bartholomeusz
Call me on 01273 006 966 Or email at ted.bartholomeusz@rhdhv.com
We’re evolving and will become part of Twinn. Check out www.twinn.io as we make the transition. 