THE CHALLENGE
Uncertainty during extreme weather leaves critical decisions exposed
When a storm nears landfall, the range of possible outcomes is wide, but deterministic forecasts typically only show one scenario. This leaves risk teams overexposed to unexpected impacts and makes pre-event decisions hard to quantify.
Hurricane wind speeds are notoriously hard to predict and observe, especially over complex terrain
Deterministic forecasts offer only a single scenario, missing alternative outcomes
Static, precomputed loss estimates often fail to match real-time storm behaviour
THE SOLUTION
Real-time risk sampling with actionable scenarios for more realistic storm forecasts
Reask’s track simulation engine generates thousands of realistically plausible storm outcomes, each with its own probability. This turns single-path forecasts into a probabilistic view of risk, giving insurers and public agencies faster, more reliable insights when extreme weather threatens.
High-resolution accuracy
Probabilistic forecasts
Terrain-adjusted realism
Consistent global coverage
Scenario-based insights
How to access Reask data
CASE STUDIES
How risk leaders use probabilistic forecasting for faster event response
Explore how insurers and risk carriers apply Reask’s event-response data to improve loss estimation, guide reserving decisions, and support communication with stakeholders.


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