Severe convective storm risk modeling

High-resolution modeling for the most complex severe weather risks

KatRisk’s severe convective storm (SCS) risk modeling combines high-resolution hazard simulation with intra-peril and cross-peril correlation, enabling insurers to better understand tornado, hail, and straight-line wind risk across portfolios.

Trusted by insurers and reinsurers worldwide

KatRisk catastrophe models support underwriting, exposure management, and portfolio analytics across global insurance and reinsurance markets.

Why KatRisk for severe convective storms

A new approach to modeling tornado, hail, and convective wind.

Severe convective storms are among the most complex hazards to model. KatRisk’s SCS model provides a high-resolution, climate-aware view of hail, straight-line wind, and tornado risk, enabling insurers to better evaluate severe weather exposure across portfolios.

The model is transparent, customizable, and computationally efficient, supporting underwriting, pricing, and capital decisioning workflows.

Key capabilities

A simulated tornado from KatRisk’s stochastic model passing through Dallas Texas, demonstrating the need to simulate SCS hazards at a high-resolution to capture sharp gradients in intensity.

High-resolution hazard modeling

Hail and straight-line wind are modeled at 1-km resolution, while tornado tracks are modeled at 100-meter resolution, capturing localized loss drivers and intensity gradients.

Climate variability enabled

The model explicitly incorporates "climate patterns such as the Trans Nino pattern enabling risk to be assessed across different climate states.

Converged and stable loss outputs

Loss convergence techniques ensure nearby locations exhibit consistent risk behavior, supporting stable tail loss estimates and pricing decisions.

Global correlation across perils and regions

The model includes intra-peril and cross-peril correlations, improving portfolio loss realism and preventing double counting of risk across regions.

Customizable vulnerability assumptions

Adjustable vulnerability factors allow insurers to tailor loss estimates to their own exposure characteristics and underwriting assumptions.

Unmatched speed and efficiency

Stochastic event catalogs representing 50,000+ simulated years enable rapid portfolio analysis, pricing evaluation, and risk optimization workflows.

Built for insurance workflows

Use severe convective storm risk modeling to support:

Turn SCS uncertainty into underwriting opportunity

Severe convective storms are volatile and often underestimated. KatRisk brings structure to complexity, helping you identify hidden accumulations, sharpen pricing, and write more business confidently.