DeepCyc

Probabilistic Hazard

ForeCyc

Climate Trends

HindCyc

Event Response

Reask Global catastrophe risk models
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DeepCyc

Global Probabilistic Hazard Model

Incorporating the deep technology from across our research and development, DeepCyc provides an unparalleled probabilistic view of tropical cyclone risk for everywhere in the world.

Features

Long-term View

20k-year/100k-year

Annual Updates

Global Coverage

1-km Resolution

Terrain-corrected

Reask Tropical cyclone risk trend forecasting
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ForeCyc

Climate-Adjusted Probabilistic Hazard

Extending on our ability to build models of atmospheric phenomenon in the current climate, ForeCyc allows us to look forward, and to alternate climatic conditions adjusting our view of risk to bring new perspectives in hazard assessment.

Features

Seasonal/Future Climate

High Frequency

Consistent Methodology

Independent Views

Relative Views

Global Coverage

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HindCyc

Tropical Cyclone Hazard Event Response

Leveraging our unique machine learning wind field model, the latest event forecast and our unparalleled historical event simulation database, HindCyc responds to events creating probabilistic event tropical cyclone footprints immediately after landfall.

Features

Immediately post-landfall

Probabilistic Solution

Extensive Validation

Global Coverage

1-km Resolution

Terrain-corrected

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