Agent Skills
› brycewang-stanford/Awesome-Journal-Skills
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journal-of-climate
GitHub用于评估气候动力学或变率论文是否符合《Journal of Climate》的投稿标准。提供选题定位、科学严谨性审查、模型评估要求及AMS格式指南，辅助作者进行期刊选择、内容重构与拒稿风险预判。
Trigger Scenarios
作者指定投稿 Journal of Climate 并需进行契合度检查
将区域分析重构为大规模气候科学贡献
在 AMS 子刊与其他地球科学期刊间做选择
需要了解该刊对模型评估和统计显著性的具体要求
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill journal-of-climate -g -y
SKILL.md
Frontmatter
{
"name": "journal-of-climate",
"description": "Use when targeting Journal of Climate or deciding whether a climate-dynamics or climate-variability manuscript fits this venue. Encodes the journal's fit, the large-scale-climate-science bar, model-evaluation and statistical-rigor expectations, AMS house style, official-submission re-check, and desk-reject heuristics."
}
Journal of Climate (journal-of-climate)
Journal positioning
Journal of Climate is the American Meteorological Society's journal for research on the large-scale climate of the atmosphere, ocean, land, and cryosphere. Its defining expectation is a contribution to climate science: an advance in understanding climate dynamics, variability, change, predictability, or diagnostics at regional-to-global scale, supported by rigorous analysis. A local weather case study, a short-range forecast verification, or an impacts paper that applies climate data without contributing to climate understanding is a poor fit, however careful. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current author guidance. Before submitting, re-check the live Journal of Climate / AMS author instructions.
When to trigger
- The author names Journal of Climate and wants a fit/framing check for a climate-dynamics or climate-variability paper.
- A regional analysis or model run must be re-framed into a large-scale climate-science contribution rather than a local case study.
- The author is choosing between Journal of Climate, a dynamics-focused AMS sibling, and a broader earth-science venue.
- The author needs the journal's model-evaluation and statistical-significance expectations.
Scope & topic fit
- Large-scale atmospheric and oceanic circulation and their role in climate.
- Climate variability and modes (ENSO, NAO, monsoons, decadal variability) and their mechanisms and teleconnections.
- Climate change detection, attribution, and projection using observations and models.
- Climate modeling and model evaluation: process representation, biases, ensembles, and model intercomparison.
- Climate diagnostics, reanalyses, and the energy/water/carbon budgets of the climate system.
- Land–atmosphere and ocean–atmosphere coupling, cryosphere–climate interactions, and climate predictability on seasonal-to-decadal scales.
Method & evidence bar
- The contribution must advance climate understanding, not merely report that a model or region behaved a certain way.
- Statistical claims require appropriate significance testing that accounts for autocorrelation, finite ensemble size, and multiplicity; effect sizes and confidence intervals should be reported, not just p-values.
- Model-based results must be evaluated against observations or reanalysis, with biases and internal variability explicitly addressed (single realizations are rarely sufficient).
- Mechanistic claims need diagnostic evidence linking the proposed dynamics to the observed signal, not correlation alone.
- Datasets, reanalyses, and model output should be identified by version and source so the analysis is reproducible; AMS expects clear data-availability statements.
- Trend and attribution work must separate forced response from internal variability with a defensible framework.
Structure & house style
- AMS article format; re-check current article types and length expectations on the live guide.
- The introduction must state the climate-science question and gap, not just describe a dataset or region.
- Figures should be quantitative and diagnostic (maps, time series with significance, composite/regression analyses); they must support the mechanistic argument.
- Methods must specify datasets, model configurations, ensemble sizes, and statistical procedures precisely enough to reproduce; AMS requires a data-availability statement.
- Terminology and metrics should follow established climate-science conventions so results are comparable across studies.
Official-submission checklist
- Before giving submission-ready advice, read
../../resources/source-basis.mdand../../resources/official-source-map.md; start from the AMS anchors, then cite the current Journal of Climate page you checked. - Search the live site for "Journal of Climate author guidelines" and follow the current AMS version.
- Re-check article types, abstract/format expectations, and length/figure expectations.
- Confirm the AMS data-availability and code/software policy: identify datasets, model output, and reanalyses with sources and persistent identifiers where possible.
- Re-check competing-interests, funding, author-contribution, AI-use disclosure, and open-access/page-charge terms.
- If the live official instructions conflict with this skill, the official instructions win.
Pre-submission self-check
- The paper advances climate understanding, not a single local weather or impacts case.
- Statistical significance accounts for autocorrelation, ensemble size, and multiplicity.
- Model results are evaluated against observations/reanalysis with biases and internal variability addressed.
- Mechanistic claims are backed by diagnostic evidence, not correlation alone.
- Forced response is separated from internal variability in any trend/attribution claim.
- Datasets, model configurations, and an AMS data-availability statement are specified.
Common desk-reject triggers
- A local weather event or short-range forecast study with no large-scale climate contribution.
- An impacts/applications paper that uses climate data but adds nothing to climate science.
- Trends or significance reported without accounting for autocorrelation or multiple testing.
- Model results presented without observational evaluation or any treatment of internal variability.
- Mechanistic claims resting on correlation with no diagnostic support.
- Missing data/model-version provenance or a non-compliant data-availability statement.
Re-routing decision
- Flagship climate-change significance for a broad audience →
nature-climate-change. - Broad earth/environment open-access framing →
communications-earth-and-environment. - Short, high-immediacy geophysical result →
geophysical-research-letters. - Hydrologic-cycle or water-resources focus dominant →
water-resources-research/journal-of-hydrology. - Carbon/nutrient biogeochemical budgets dominant →
global-biogeochemical-cycles.
Output format
[Fit] High / Medium / Low (one-line reason)
[Target] Journal of Climate
[Topic tags] <2–3 closest climate-science topics>
[Climate-science contribution] <the advance in dynamics/variability/change/predictability>
[Method/evidence] <does model evaluation + statistical rigor clear the bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / data-availability / statistical conventions / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>
Version History
- 1839142 Current 2026-07-05 12:17
