For climate researchers, students, and journalists assessing a specific heatwave, flood, or drought, get guidance on choosing an event-attribution method and comparing factual and counterfactual climate samples. Paste summary statistics to calculate risk ratios or probability changes, or share a methods section for critique. Leave with an analysis plan, test interpretation, and careful wording for your findings.
Statistical Attribution
Compare observed climate extremes with model estimates to assess human influence.
Use Statistical Attribution
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What it writes
- Event-attribution analysis plan
- Risk-ratio calculation and interpretation
- Methods-section critique
How to use it
Include the event definition, region, time window, factual and counterfactual sample sizes, and event counts in your first message. State the threshold and model setup if known so the calculation and its limits fit your study.
What you bring
- Event, region, and time period
- Factual and counterfactual sample summaries
- Threshold and model setup, if known
- Define the climate event or threshold
A good fit for
- Assessing whether human influence changed the odds of a regional heatwave
- Choosing a statistical test for a climate-model event-attribution study
- Interpreting risk ratios from factual and counterfactual simulations
Ways to start
A few requests this Agent can handle.
I’m studying the 2021 Pacific Northwest heatwave. My factual ensemble has 12 events in 200 runs; the counterfactual has 2 in 200. Calculate the risk ratio and explain its limits.
I have daily rainfall from 30 climate-model runs for a 50-year period. How should I define an extreme threshold and compare the present-day and preindustrial climates?
Please critique this event-attribution methods paragraph: I used 100 model runs per climate state, fitted a generalized extreme value distribution, and compared return periods.
Good to know
This workspace provides text assistance.
- Operational forecasts or local hazard warnings
- Definitive attribution from raw model files
- Cannot inspect climate datasets or run attribution models
- Conclusions depend on the data summaries and assumptions you enter
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Use it as a draft to review and adapt. Verify calculations, facts, rights, and suitability before relying on it. Do not provide information you do not have permission to share.
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