We propose a statistical methodology to quantify the financial implications of tropical cyclone-related physical risks implied by climate change.
To address the sensitivity of disaster intensity to climate change, we provide a Monte Carlo methodology to generate synthetic cyclones consistent with climate scenarios of the Couple Model Intercomparison Project (CMIP5). Sovereign exposure and vulnerability assessments in principal tropical cyclone basins are based on projections of population densities in shared socioeconomic pathways coupled with downscaled physical asset values constructed using mixed data along with locally calibrated damage functions.
You can now read the full whitepaper at the link below