Mett Terranova represents a new approach to climate risk analytics designed for investors and corporate strategists. This platform translates complex environmental data into clear signals that support smarter decision making under uncertainty.
Built on integrated physical and transition risk models, Mett Terranova connects scenario analysis with location level intelligence. The goal is to help organizations anticipate exposure, prioritize action, and protect long term value across portfolios.
| Platform | Primary Focus | Core Data Layers | Typical User |
|---|---|---|---|
| Mett Terranova | Climate risk and resilience analytics | Physical hazards, transition pathways, asset exposure | Asset managers, corporates, insurers |
| Climate Engine A | Hyperlocal hazard mapping | Flood, heat, wildfire at parcel level | Real estate, municipal planners |
| Transition Analytics B | Policy and regulatory scenarios | Carbon pricing, tech adoption, regulation timelines | Equity research, strategy teams |
| Portfolio Risk Suite C | Financial impact aggregation | Loss curves, earnings volatility, capital cost | CFO, risk officers, investors |
Assessing Physical Climate Hazards with Mett Terranova
Mett Terranova models translate global climate projections into actionable physical hazard layers for specific locations and assets. Users can evaluate exposure to heat stress, river and coastal flooding, and wildfire under multiple emissions pathways.
Each hazard is quantified with severity bands and return levels, enabling organizations to benchmark their exposure against peers and policy thresholds. This structured view helps teams prioritize hardening investments where risk is both severe and likely.
Site Level Hazard Breakdown
For any selected site, the platform overlays hazard intensity, probability, and existing controls into a concise dashboard. Decision makers can toggle scenarios to see how risk evolves under optimistic, baseline, and pessimistic climate futures.
Transition Risk Scenarios and Policy Pathways
Beyond physical hazards, Mett Terranova maps transition risks linked to carbon pricing, technology adoption, and regulatory change. Scenario modules align with policy milestones, enabling users to test how different pathways affect asset values and cost of capital.
Organizations can link their emissions trajectories to sector specific transition curves, revealing where early action creates optionality and where delay may lock in stranded costs. This approach supports more robust strategic planning across horizons of five to thirty years.
Asset Exposure and Portfolio Integration
Mett Terranova connects hazard and transition outputs to an asset register, translating climate signals into location level exposure scores. The engine estimates direct damage, business interruption, and reputational impact, and rolls these up to portfolio level concentrations.
By integrating with existing GIS and ERP systems, the platform reduces manual mapping effort and ensures that climate risk is reflected in financial models used for investment and credit decisions.
Governance, Disclosure, and Strategic Alignment
Built in controls help organizations document assumptions, maintain audit trails, and align climate analytics with governance frameworks. Scenario documentation supports consistent storytelling for boards, regulators, and external stakeholders.
This focus on governance makes Mett Terranova suitable for enterprises under regulatory pressure to disclose climate risk and resilience measures in a standardized, verifiable way.
Key Takeaways and Recommended Actions
- Use hazard and transition modules together to capture both immediate and long term climate risk.
- Link location level outputs to asset registers for accurate portfolio aggregation and stress testing.
- Standardize scenario documentation to support consistent board level reporting and regulatory compliance.
- Prioritize investments in resilience where hazard severity and business criticality overlap most strongly.
- Leverage API integrations to keep climate risk aligned with evolving finance and strategy workflows.
FAQ
Reader questions
How does Mett Terranova calculate physical hazard metrics at the asset level?
The platform downscales global climate models using local topography and land use, then overlays hazard intensity, probability, and vulnerability curves to estimate asset level exposure and potential loss.
Can Mett Terranova integrate with our existing risk and ERP systems?
Yes, it provides APIs and configurable data pipelines that connect to common GIS, ERP, and portfolio management platforms, reducing manual rework and supporting automated risk reporting.
What scenario sets are available for transition risk analysis?
Users can select policy driven pathways, technology adoption trajectories, and sector specific transition curves that reflect different regulatory, market, and innovation assumptions over time.
How are results from Mett Terranova presented to boards and executives?
Results are summarized as exposure scores, concentration maps, and financial impact ranges, with dashboards designed to highlight material risks and recommended actions for governance audiences.