From hazard data to a disclosure-ready financial narrative
A worked example showing the full translation layer: physical hazard projections, operational vulnerability, financial impact, adaptation ROI, and audit-ready disclosure copy.
Illustrative example
The hazard data below (outdoor WBGT projections) is derived from 11-model CMIP6 output for Kota Kinabalu, Sabah. The client sector, workforce size, wage rate, and adaptation costings are illustrative, built to demonstrate how that hazard data translates into a disclosure-ready financial narrative.
Physical Climate Risk Screening and Financial Translation Engine
Kota Kinabalu, Sabah
5.97°N, 116.07°E | Asset Sector: Container Port Yard Logistics
Hazard Indicator: Outdoor Wet-Bulb Globe Temperature (WBGT)
Wet-Bulb Globe Temperature (WBGT) combines air temperature, humidity, solar radiation, and wind speed into a unified heat stress index. Exceeding published safety limits triggers mandatory work-rest allocations, causing workforce capacity loss, unproductive payroll drag, and mandatory disclosure requirements.
CALCULATION METHOD
OUTDOOR WBGT PROJECTIONS AND DOSH SAFETY LIMIT THRESHOLDS (°C)
Under 2.7°C warming, NDCs / Delayed Transition (SSP2-4.5), mean outdoor WBGT (Kong-Huber method) rises from 31.8°C at baseline (1995 to 2014) to 32.6°C at near-term, 33.3°C at mid-century, and 34.3°C at end-century.
DATA AND AUDIT TRAIL
Data Source: NASA NEX-GDDP-CMIP6 11-Model Ensemble (Daily variables: tasmax, huss, rsds, sfcWind, ps). Regulatory Reference: Malaysia DOSH Guidelines on Heat Stress Management at Workplace 2016 (ACGIH-based) and ISO 7243:2017. Financial Translation: 4-step DOSH work-rest step-down model.
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