Nature Climate Change

---
name: nature-climate-change
description: Use when targeting Nature Climate Change or deciding whether a climate science manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
---

# Nature Climate Change (nature-climate-change)

## Journal positioning

Nature Climate Change publishes research that advances understanding of the physical science, impacts, mitigation, adaptation, and policy dimensions of climate change — and is unique among Nature-portfolio journals in intentionally bridging natural science and social science under one editorial identity. A paper on climate model projections and a paper on farmer adaptation behavior both belong here if they are methodologically rigorous and have significance for understanding or responding to the climate challenge. The readership includes climate physicists, ecologists, economists, political scientists, and policymakers, so significance must be legible across this range. This skill is a **fit / venue-selection / re-framing** tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the Nature Portfolio site.

## When to trigger

- The author names Nature Climate Change as the target venue for a high-significance climate science or climate-impacts manuscript.
- A manuscript addresses the physical science, biological impacts, human vulnerability, mitigation pathways, or governance of climate change with broad, clearly communicated significance.
- The author is choosing between Nature Climate Change, Nature Geoscience, and Nature Sustainability and needs to understand scope boundaries.
- The author needs Nature Climate Change's desk-reject heuristics and credible re-routing options.

## Scope & topic fit

- Physical climate science: attribution studies, climate sensitivity, extreme-event frequency/intensity, regional climate projections — when the result has clear significance for understanding climate change beyond a model intercomparison.
- Climate impacts on ecosystems: species range shifts, coral bleaching, permafrost feedback, carbon-cycle disruption — when tied to climate forcing and with quantified magnitude of impact.
- Human and societal impacts: agriculture, water security, health, migration, infrastructure — when rigorously quantified and attributable to climate change, not just correlated with climate variables.
- Mitigation: carbon pricing, renewable energy deployment, technological abatement pathways — when supported by quantitative modeling with transparent assumptions and policy relevance beyond a specific country or sector.
- Adaptation: behavioral, institutional, or technological responses to climate change — when rigorously evaluated (not just proposed) with measurable outcomes and scalability addressed.
- Paleoclimate when it constrains Earth-system sensitivity, demonstrates abrupt transition risk, or calibrates future projection uncertainty — not primarily archival record extension.

## Method & evidence bar

- Physical science papers must use validated models or high-quality observational datasets with clearly stated uncertainty quantification; multi-model ensembles or observational corroboration are expected for major mechanistic claims.
- Attribution studies must apply a recognized detection-attribution or extreme-event attribution methodology and state assumptions; single-model attribution without uncertainty bounds is insufficient.
- Social-science and economics papers must meet the standards of their own methodological communities: causal identification (IV, RDD, DiD, or equivalent) is expected for causal claims; observational correlations alone are insufficient for policy-relevant conclusions.
- Integrated assessment and scenario papers must state assumptions transparently, report results across a range of scenarios (not just the most favorable), and engage with model uncertainty.
- Cross-disciplinary papers (physical + social) are especially valued if they are methodologically sound in both domains; they should not simplify the social dimension to a stylized model or the physical to a single scenario.
- Data and code availability: climate datasets, model output, and analysis code should be deposited or made publicly available; re-check current requirements.

## Structure & house style

- Nature Climate Change publishes Articles and Letters (re-check current type options on the live guide); format follows Nature-portfolio standards with Extended Data and Supplementary Information.
- The introduction must establish climate significance for the full cross-disciplinary readership — physical scientists and social scientists alike must immediately grasp the importance without reading past the first paragraph.
- The central advance must be stated in one sentence accessible to a non-specialist; the paper must resist framing that requires climate-model expertise to evaluate.
- Extended Data carries essential supporting analyses, sensitivity tests, and additional regional breakdowns; SI carries full methods, data sources, model documentation, and code.
- Nature's reporting summary and data/code availability statement are required; re-check current requirements for climate model output, observational data, and code deposition.
- A plain-language summary or significance statement may be required; re-check current editorial requirements.

## Official-submission checklist

- Before giving submission-ready advice, read `../../resources/source-basis.md` and `../../resources/official-source-map.md`; start from the official source anchors for this journal family, then cite the current journal-specific page you checked.
- Search the live site for "Nature Climate Change author instructions" and follow the current Nature Portfolio version.
- Re-check article-type definitions and word/figure/Extended Data limits.
- Re-check Nature's reporting summary requirements (statistics, reproducibility, sample sizes, datasets, code).
- Confirm data and code deposition requirements: climate model output (e.g., CMIP data nodes), observational datasets, and analysis code repositories.
- Re-check competing-interests, funding, author-contribution, and AI-use disclosure requirements.
- Re-check preprint and embargo policies; Nature Climate Change covers high-profile topics that may require press-office coordination.
- If the live official instructions conflict with this skill, the official instructions win.

## Pre-submission self-check

- [ ] One sentence stating the climate significance: what does this paper change about how we understand, project, or respond to climate change?
- [ ] The significance is legible to both physical scientists and social scientists — not written exclusively for one community.
- [ ] Uncertainty is quantified and communicated honestly: multiple scenarios, model spread, or statistical confidence intervals are reported.
- [ ] Causal claims (especially in impacts and adaptation) are supported by a credible causal identification strategy, not only correlation.
- [ ] Data and model code are deposited or will be made available; Extended Data and reporting summary are complete.
- [ ] The paper is not a descriptive climate trend analysis without mechanistic or policy implication — trend confirmation alone does not meet the Nature Climate Change bar.

## Common desk-reject triggers

- A regional climate trend or projection paper with no global significance or novel mechanistic insight — confirming that a region is warming faster does not constitute a conceptual advance.
- Attribution study using a single model or a non-standard methodology without uncertainty quantification or corroboration by observational evidence.
- Social-science paper that treats climate as a fixed, uniform input to a simplified behavioral model, without engaging with physical uncertainty or regional variation.
- Mitigation scenario paper that reports only the most optimistic pathway without exploring scenario robustness or policy feasibility constraints.
- Adaptation proposal paper without rigorous outcome evaluation — describing a policy without measuring its effect.
- Writing too specialist for the cross-disciplinary readership: a paper legible only to climate modelers or only to environmental economists misses the Nature Climate Change audience.
- Primarily a geoscience or paleoclimate advance without a clear forward-looking climate significance → `nature-geoscience`.

## Re-routing decision

- Earth-system advance without climate-change framing → `nature-geoscience`.
- Sustainability and solutions orientation dominant → `nature-sustainability`.
- Energy mitigation technology is the primary story → `nature-energy` or `joule`.
- Environmental chemistry or biogeochemical cycle → `environmental-science-and-technology` or Global Biogeochemical Cycles.
- Social-science framing without the physical-science anchor → Nature Human Behaviour or relevant social-science venues.

## Output format

```text
[Fit] High / Medium / Low (one-line reason)
[Target] Nature Climate Change
[Topic tags] <2–3 closest topics>
[Method/evidence] <does the paper provide quantitatively rigorous, cross-disciplinary climate advance with uncertainty quantification and clear significance for understanding or responding to climate change?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / Extended Data / reporting summary / data/code deposition / ethics / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>
```