Catastrophe modelling data
Catastrophe models price and manage extreme risk, and they rest on three data pillars. This guide covers catastrophe-modelling data and how to source it.
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The three pillars
Catastrophe models combine hazard (where and how severe events occur), exposure (what is at risk) and vulnerability (how assets respond). Each is a distinct data-sourcing challenge.
Hazard data
Hazard data, flood, wind, earthquake, wildfire, comes from scientific models, EO and historical records, increasingly adjusted for climate change.
Exposure data
Exposure links assets to locations and attributes, requiring accurate geocoding and property data. Poor exposure data is a common weak point.
Vulnerability and loss
Vulnerability functions and historical loss data calibrate how exposure translates to damage. Provenance and methodology are central.
Climate change
Forward-looking, climate-adjusted hazard data is increasingly required by regulators and reflects shifting risk. It must be clearly distinguished from historical baselines.
Sourcing considerations
Data spans scientific, commercial and official sources with differing methods and licences. Combining hazard, exposure and vulnerability via consistent geography is the core work.
In a managed model
A managed partner can source and combine hazard, exposure and vulnerability data with documented provenance.
Exposure is the weak point
Catastrophe models rest on hazard, exposure and vulnerability, and exposure, accurately geocoding assets and their attributes, is the common weak point. Climate-adjusted hazard data is increasingly required and must be distinguished clearly from historical baselines.
Combine on consistent geography
Data spans scientific, commercial and official sources with differing methods and licences, and combining the three pillars on consistent geography is the core work. Provenance and documented methodology are essential for pricing, reserving and capital use.
- Cat models combine hazard, exposure and vulnerability data.
- Exposure geocoding is a common weak point.
- Climate-adjusted hazard data is increasingly required.
- Combine the pillars via consistent geography; document provenance.
Sources & further reading
- Copernicus and scientific hazard models.
- EIOPA: climate and catastrophe-risk guidance.
- National hazard and loss datasets.
- Catastrophe-model vendors and methodologies.
We source and combine hazard, exposure and vulnerability data with documented provenance. Get a no-obligation quote.