CONTENTS
Risk modelling is the process of using data and scientific methods to estimate how likely a risk is to occur and what impact it could have. In climate, it means simulating hazards like flooding or heatwaves to understand how they might affect specific locations or assets.
Example in context
You’re advising a sustainability consultancy building reports for asset managers. Instead of using outdated proxies or generic maps, you rely on risk modelling outputs, showing asset-level risk under multiple climate scenarios, complete with probabilities and financial metrics.
Why it matters
Robust risk modelling turns climate science into decision-useful outputs. It supports investment, insurance, and regulatory decisions by grounding them in data, not assumptions. EarthScan combines global and regional models with bias correction and return periods to offer transparent, traceable risk outputs.
Start using climate risk insights to drive better decisions today
