Climate Scenario Simulation

Climate Scenario Simulation uses AI to perform simulation of climate hazard trajectories, transition pathways, economic impacts, and asset vulnerabilities, enabling portfolio-level scenario planning, by modelling multiple climate futures against operational and financial assumptions, across enterprise risk management and sustainability strategy workflows.

Risk and sustainability teams must stress-test assets, supply chains, and business models against multiple climate futures defined by different temperature pathways and policy outcomes. Manual scenario modelling is time-consuming, difficult to refresh, and hard to compare systematically across portfolios.

The AI performs simulation on climate hazard parameters, transition scenarios, asset vulnerabilities, financial assumptions, and portfolio data and produces modelled impact outcomes across scenarios. The output is reviewed inside enterprise risk and strategy workflows.

The primary metric is scenario coverage rate across the asset or portfolio boundary; the target direction is higher coverage and lower scenario-update cycle time.

• •Asset locations, financial assumptions, climate hazard datasets, and approved scenario frameworks are available for the assessment scope.
• •Risk management, strategy, or financial planning systems can receive scenario outputs and modelled impact ranges.
• •Scenario methodology, hazard definitions, and review governance are agreed by risk and sustainability owners.