Climate Risk Modeling Is a Nascent Insurance Underwriting Tool

Physical climate risk modeling — projecting asset-level exposure to flood, wildfire, heat stress, and wind over 10–30 year horizons — is the fastest-growing segment within climate data. Jupiter Intelligence, First Street Foundation, and Moody's RMS are building asset-level risk scores that are being embedded directly into mortgage underwriting, insurance pricing, and corporate real estate transactions. The critical product differentiation is localization — coarse global climate models are useless at the parcel level; proprietary downscaling algorithms and high-resolution terrain data are the moat. This market is structurally undersupplied: most insurance models were built in the 1990s on historical loss data that doesn't capture non-stationary climate trajectories. Re-underwriting the entire global insurance book around forward-looking climate risk models is a multi-decade, multi-trillion dollar market transition.