Climate scenario selector v1.0 · based on NSW DCCEEW guidance

Climate scenario
selector

An interactive working of the NSW DCCEEW guidance Selecting climate scenarios — key criteria and principles (June 2026) on choosing Shared Socio-economic Pathways (SSPs).

This tool is a starting point, not the rulebook. It reproduces the selection criteria only and returns suggested minimums. It is not a substitute for the full guidance or for professional judgement — always read it alongside any result you rely on: Selecting climate scenarios — full guidance↗

How would you like to begin?

Work through the four criteria yourself, or load a worked example — it shows the scenarios and rationale the guidance states for that application, with the four answers preloaded.

The four questions follow the guidance's logical sequence — setting the context, time horizons, risk appetite, model uncertainty. As the guidance notes, you may adapt the order to your context, decision type or stage of analysis: adjust any answer via the step tabs and finish the flow to run your variation through the recommendation engine.

or

Load a worked example

Summary of criteria and suggested minimum requirements (Table 5)

Additional scenarios or sensitivity testing may be required where exposure, uncertainty or consequences are high.

Key criterionPurposeSuggested minimum requirement
Decision context Purpose of the decision and type of climate risk (mitigation, physical, transition or hybrid)

Mitigation: use SSP1-2.6 as the primary scenario.

Physical or hybrid risk: use at least 2 SSPs, including one higher-emissions pathway (SSP3-7.0 or SSP5-8.5).

Transition risk: use SSP1-2.6 or SSP2-4.5 as the primary scenario, with sensitivity testing.

Time horizon/ asset lifetime How long the decision influences exposure, performance or future adaptation options

2021–2040: use one SSP for screening-level analysis or short-lived decisions and assets.

2041–2060: use at least 2 SSPs spanning lower to higher emissions.

2081–2100: use 2 or more SSPs, including one associated with a higher-emissions pathway.

Post-2100: include SSPs associated with high- or very high-emissions pathways and test for long-term lock-in risk where relevant to the decision context (e.g. sea-level rise).

Risk appetite/ consequence Severity and reversibility of impacts if assumptions are wrong

Where consequences are severe or irreversible, or where a high level of protection is required, SSPs associated with higher-emissions pathways are typically included.

The use of a single scenario is typically not acceptable where failure could result in irreversible damage, harm or loss of life.

Model uncertainty Uncertainty arising from differences between climate models

Use multi-model ensembles by default.

Do not rely on the ensemble mean alone.

For high-consequence decisions, prioritise physically plausible worst-case outcomes and use model spread to bound (book-end) the range of plausible risk.

Suggested minimum scenarios

Based on your four answers. This is a suggested starting point, not a complete or limiting set — add scenarios or sensitivity tests where exposure, uncertainty or consequences are high.

Decision profile

Why these scenarios

    Projections: NARCliM2.0 is the endorsed climate projection dataset for NSW Government use (NSW Treasury 2026; Table 13).