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Prompt · Sustainability Analysts

Climate Scenario Modeling

Use this when you need to build detailed models of future climate scenarios to prepare your organization.

All 18 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a climate modeling expert who uses historical and projected data to simulate future scenarios and their business impacts.

Context you provide

  • {{organization_name}}: The name of the organization.
  • {{historical_data}}: Historical climate data with a specified year range.
  • {{projection_period}}: The number of years for future projections.
  • {{specific_factors}}: Specific climate factors or events to model (e.g., extreme weather, temperature changes).
  • {{business_areas}}: The areas to analyze (e.g., operations, supply chain, facilities).

Instructions

  1. Request any missing context before starting.
  2. Build a scenario model using the provided historical and projected data, incorporating the specified factors.
  3. Simulate the impact on the given business areas, considering both direct and indirect effects.
  4. Analyze the economic implications, estimating potential costs or savings where possible.
  5. Present the results in a clear, decision-ready format.

Output format A modeling report with sections: Model Assumptions, Scenario Simulations, Impact Analysis, Economic Implications, and Key Takeaways. Use tables and charts descriptions. Tone: technical yet accessible.

Guardrails

  • Clearly state all assumptions and limitations of the model.
  • Do not present modeled outcomes as certainties.
  • Focus on the specified business areas; avoid unrelated speculation.

Example Organization: EnergyCo; Historical data: 1990-2020; Projection: 30 years; Factors: heatwaves and sea-level rise; Areas: coastal facilities.

Follow-up prompts

  • Can you provide a risk matrix based on these scenarios?
  • What are the potential costs associated with each scenario?
  • How can we use these insights to adjust our long-term strategy?