What Are SSP Climate Scenarios?

Direct Answer

Shared Socioeconomic Pathways (SSPs) are structured scenarios used to compare plausible future climate conditions. They are not predictions. Their value lies in helping decision-makers compare how physical risk may evolve across lower-, middle-, and higher-warming trajectories and across different socioeconomic assumptions (IPCC AR6 WGI Chapter 4; NASA NEX-GDDP-CMIP6; IFRS S2).

How It Works

The four interpretation rules are:

1. SSPs are scenario pathways, not forecasts.
2. SSPs combine assumptions about development, land use, policy, and climate outcomes.
3. SSPs help compare plausible risk futures.
4. SSP selection, assumptions, time horizons, and decision relevance should be disclosed.

SSPs are useful because different decisions require different scenario lenses. Disclosure may require resilience-focused scenario analysis. Underwriting may emphasize downside risk. Capital planning may require time horizons that align with asset life, maintenance cycles, financing, or exit valuation. ClimaTwin’s Climate Business Intelligence™ turns climate scenarios into transparent analytics for resilience planning, stress testing, disclosure, underwriting, investment timing, and downside-risk review.

Limitations

SSPs are not forecasts of what will happen. Asset-level outputs should not imply certainty about a single pathway. Scenario choice, time horizon, model selection, downscaling, and decision relevance should be clearly documented.

Frequently Asked Questions (FAQs)

1. What are the 4 interpretation rules? SSPs are not forecasts; they combine assumptions, compare plausible futures, and require disclosure of assumptions and relevance.
2. Are SSP’s predictions? No. They are pathways for evaluating plausible futures.
3. How are SSPs different from models? SSPs describe future pathways; climate models simulate climate-system responses under those pathways.
4. Why analyze multiple SSPs? Multiple SSPs help compare risk emergence, downside exposure, resilience needs, and investment timing.
5. How does ClimaTwin use SSPs? ClimaTwin connects SSPs to climate modeling, downscaling, asset context, uncertainty, and decision-specific outputs.

Sources

• IFRS Foundation. (2023). IFRS S2 climate-related disclosures.
• Intergovernmental Panel on Climate Change. (2021). Chapter 4: Future global climate: Scenario-based projections and near-term information. In Climate change 2021: The physical science basis. Cambridge University Press.
• O’Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., Meehl, G. A., Moss, R., Riahi, K., & Sanderson, B. M. (2016). The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6. Geoscientific Model Development, 9, 3461-3482. https://doi.org/10.5194/gmd-9-3461-2016.

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