The research highlights the importance of incorporating climate change-adjusted data into modelling
The Bayes Business School analysis confirms the financial impact of flood risk – and how important it is that lenders, insurers and homeowners factor it into their decision-making. “This analysis shows that we can begin to quantify the likely impact on devaluation of properties due to flood risk,” said Rob Carling, Channel Sales Manager at Twinn.
Crucially, the report highlights the importance of accurate, up-to-date data in flooding modelling. “Of course, it is vital to incorporate historic events,” Rob continued. “However, focusing exclusively on historic data limits our vision and perception of the risk, which is increasing significantly now we’re in the era of climate change.”
At Twinn, our climate risk intelligence platform is based on proprietary IP developed over 20 years. By combining high-resolution natural hazard data with machine learning, climate exposure analysis and risk-scoring systems, we provide clarity on future flood risk.
“Data accuracy is key,” confirmed Rob. “When you work primarily with historic data, rather than incorporating climate change adjusted values, it can result in an underestimation of the actual effects of flood risk on the property market.”