Weather and Climate Risk
Intelligent insights into present and future climate hazard and risk
Stormwise use decades of experience in climate and risk modelling to improve the management of severe weather risk on P&C insurance.
You may have a resource bottleneck, or wish to break away from routine with independent analytics. Stormwise can assist with basic peril validation, a fresh view on a material peril, or new software to reduce resource needs. In addition to deep analytics, we provide well-written documents, and develop bespoke software for longer-term solutions.

The circumglobal jet, one day before storm Daria hit Europe

Estimates the extra capital required to add a contract to a portfolio, very quickly
Two current methods of estimating the extra capital required to include a contract in a portfolio have weaknesses. The standalone method of estimating capital for a contract on its own (e.g. RoRAC) is fast, but inaccurate. The cat model method (run portfolio with and without contract) is accurate, but slow and costly.
The Marginal Capital tool strikes a better balance: just 1 sec more compute than the Standalone method, and accuracy similar to the cat model method.
The Table shows results from an idealised test, in which portfolios were developed using two standard approaches and the method based on Marginal Capital per contract. All three portfolios had the same final capital requirement, but the Marginal Capital method yields much more premium.
The CC Tool produces validated estimates of loss impacts for a wide range of climate hazard scenarios.
Further, its use of the powerful 'EP-matching-and-mapping' method ensures low resource costs: input data preparation is minimal, execution time is short, and licence fees are kept small.
The CC Tool can help you re-allocate resources to more material risks, or provide an independent second view, or you may be interested in the deeper analytics boosting its performance.
Europe Windstorm Loss History, 1940-2023
How long is a stable baseline climate of losses? Europe Windstorm has such a thick tail that 3 or 4 decades is not enough to place the very stormy 1980s and 90s in proper context.
A windstorm loss history was developed for the extended period 1940 to 2023 using ERA5 reanalyses winds with some processing. It was validated using known industry losses over the past few decades. The dataset provides new storm losses for validation, or a little light processing can give insights into climate variability. For example, the loss climate based on the past 50 years is not stable: the full 84 years has 20% lower average loss.
The above products benefit from collaboration with the industry.
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