METHODOLOGY

How a climate risk score is built.

Every score is the output of a documented hazard-exposure-vulnerability-impact (H-E-V-I) pipeline. No black boxes. Sources, scenarios, multipliers and the calculation steps live next to every number.

1. Hazard intensity

Connector layer fetches hazard data for each facility, scenario and horizon. Real connectors (CMIP6, Aqueduct, IBTrACS, FIRMS) plug in via the same interface as the bundled seed connector.

2. Sector vulnerability

Sector multipliers (0.8–1.4) capture sensitivity differences — e.g. food processing is more water-sensitive than logistics; coastal industrials are more flood-exposed than offices.

3. Scenario uplift

IPCC AR6 SSPs and the NGFS Phase V suite are encoded as per-horizon multipliers calibrated to the canonical trajectories.

4. Exposure

Facility-level asset value, revenue, workforce, water and energy dependencies are combined with hazard scores to produce a composite physical risk index.

5. Financial impact

Expected annual loss, revenue at risk, downtime, CAPEX and insurance implications are derived from composite risk and exposure, with a 90% confidence range.

6. Disclosure mapping

Outputs roll into IFRS S2 / TCFD / CSRD-aligned disclosure rows with the scenario, methodology and source citations intact.

PRINCIPLES

No false precision. No invented numbers.

Confidence over certainty

Every score carries a confidence rating and the underlying model agreement, scenario spread and dataset quality score.

Citable to the source

Click any number and trace it back to the dataset, version, scenario and calculation step — built for auditors.

Sample data is clearly tagged

During onboarding, mock connectors emit sample data. Until you switch to live connectors, every output carries a SAMPLE DATA badge.

Auditable by design

Every analysis run is logged. Override actions write to the audit trail. The methodology page lists model version and connector status per dataset.