Use when targeting Journal of Hydrology or deciding whether a hydrology manuscript fits this venue. Encodes the journal's fit, the broad process/observational/applied-hydrology contribution bar, data-and-reproducibility expectations, Elsevier house style, official-submission re-check, and desk-reject heuristics.
Journal of Hydrology is Elsevier's broad-scope outlet for the hydrological sciences,
covering surface and subsurface hydrology, hydrometeorology, water quality, hydrological
modeling, and observational hydrology across catchment to continental scales. Its defining
expectation is a sound, useful hydrological advance — a process insight, a method, a
dataset-driven analysis, or an applied result that improves how hydrologic systems are
understood, predicted, or managed; it deliberately accommodates process, observational,
methodological, and applied studies more broadly than AGU's Water Resources Research, whose
bar is fundamental water-science novelty. A well-executed regional study can fit here if it
yields transferable lessons or clear hydrological insight, even without a wholly new theory.
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 Hydrology
author instructions and data policy.
When to trigger
The author names Journal of Hydrology and wants a fit/framing check for a hydrology paper.
A regional or applied hydrologic study needs to be positioned for its transferable insight
rather than rejected as "just a case study."
The author is choosing between Journal of Hydrology, water-resources-research, and a
broader earth/climate venue.
The author needs the journal's breadth-of-scope reasoning and reproducibility expectations.
Scope & topic fit
Surface-water hydrology: rainfall–runoff, streamflow generation, floods, droughts, and
catchment water balance across scales.
Subsurface and groundwater hydrology: recharge, aquifer dynamics, soil-water and
vadose-zone processes, surface–groundwater interaction.
Hydrometeorology and snow/ice hydrology: precipitation, evapotranspiration, snowmelt, and
land-surface water and energy partitioning.
Hydrological modeling, forecasting, remote sensing, and data assimilation, including
large-sample and benchmarking studies.
Water quality, solute and sediment transport, and ecohydrology with a clear hydrological
process or management linkage.
Applied and regional hydrology — water-resources assessment, human impacts, land-use and
climate-change effects — when the analysis yields transferable insight.
Method & evidence bar
The contribution must be a defensible hydrological advance: useful process insight,
method, dataset analysis, or applied finding, with stated transferability or limitations.
Models must be calibrated and evaluated with appropriate skill metrics, independent
validation, and uncertainty treatment; equifinality and parameter sensitivity should be
addressed.
Observational and field studies need credible monitoring design, instrument/error
characterization, and reproducible data processing.
Claims of improvement require comparison against a sensible baseline model or method, not a
weak strawman; large-sample or multi-catchment evidence strengthens generality.
A purely regional result should be explicit about what generalizes and what does not, so
reviewers can judge the broader hydrological value.
Data underpinning the analysis should be available or clearly sourced, per Elsevier and
journal data policy.
Structure & house style
Standard Elsevier research-article structure (Introduction, Study area/Data, Methods,
Results, Discussion, Conclusions); re-check current article types and length on the live
guide.
The introduction must state the hydrological gap and the specific advance, not just
describe a basin or list prior work.
Figures should be quantitative and load-bearing (hydrographs, maps, skill/benchmark
comparisons, uncertainty bands); study-area maps must support, not replace, analysis.
A highlights list and a structured or graphical abstract are commonly expected — re-check
current requirements on the live guide.
Methods and data-availability statements must let a reader reproduce the central result.
Official-submission checklist
Before giving submission-ready advice, read ../../resources/source-basis.md and
../../resources/official-source-map.md; start from the Elsevier anchors, then cite the
current Journal of Hydrology page you checked.
Search the live site for "Journal of Hydrology guide for authors" and follow the current
Elsevier version.
Re-check article types, highlights/abstract format, and word/figure expectations.
Confirm the data-availability/research-data policy and any repository or data-statement
requirements.
Re-check competing-interests, funding, author-contribution (CRediT), and AI-use
disclosure, and open-access options.
If the live official instructions conflict with this skill, the official instructions
win.
Pre-submission self-check
The advance is a clear hydrological insight, method, or applied finding, not an undigested data dump.
Models are evaluated with skill metrics, independent validation, and uncertainty treatment.
Observational/field design, error characterization, and processing are reproducible.
Improvement is shown against a sensible baseline, and transferability/limitations are stated.
Highlights, abstract format, and data-availability statement meet current requirements.
Figures are quantitative and load-bearing, not dominated by descriptive study-area maps.
Common desk-reject triggers
A regional case study presented with no transferable insight, generalization, or stated lessons.
Model results with no calibration/validation, skill metrics, or uncertainty analysis.
Observational study with weak monitoring design or no error characterization.
Re-analysis of standard data with a routine method and no new hydrological understanding.
Missing data-availability statement or non-compliance with the research-data policy.
Scope mismatch: a pure water-engineering design, climatology, or chemistry paper with no
hydrological process or management linkage.
[Fit] High / Medium / Low (one-line reason)
[Target] Journal of Hydrology
[Topic tags] <2–3 closest hydrology topics>
[Hydrological advance] <the process/method/applied insight and its transferability>
[Method/evidence] <does calibration/validation + uncertainty + data availability clear the bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / highlights / data policy / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>
1---2name: journal-of-hydrology3description: Use when targeting Journal of Hydrology or deciding whether a hydrology manuscript fits this venue. Encodes the journal's fit, the broad process/observational/applied-hydrology contribution bar, data-and-reproducibility expectations, Elsevier house style, official-submission re-check, and desk-reject heuristics.4---567# Journal of Hydrology (journal-of-hydrology)89## Journal positioning1011Journal of Hydrology is Elsevier's broad-scope outlet for the hydrological sciences,12covering surface and subsurface hydrology, hydrometeorology, water quality, hydrological13modeling, and observational hydrology across catchment to continental scales. Its defining14expectation is a **sound, useful hydrological advance** — a process insight, a method, a15dataset-driven analysis, or an applied result that improves how hydrologic systems are16understood, predicted, or managed; it deliberately accommodates process, observational,17methodological, and applied studies more broadly than AGU's Water Resources Research, whose18bar is fundamental water-science novelty. A well-executed regional study can fit here if it19yields transferable lessons or clear hydrological insight, even without a wholly new theory.20This skill is a **fit / venue-selection / re-framing** tool. It does not replace the21journal's current author guidance. Before submitting, re-check the live Journal of Hydrology22author instructions and data policy.2324## When to trigger2526- The author names Journal of Hydrology and wants a fit/framing check for a hydrology paper.27- A regional or applied hydrologic study needs to be positioned for its transferable insight28 rather than rejected as "just a case study."29- The author is choosing between Journal of Hydrology, `water-resources-research`, and a30 broader earth/climate venue.31- The author needs the journal's breadth-of-scope reasoning and reproducibility expectations.3233## Scope & topic fit3435- Surface-water hydrology: rainfall–runoff, streamflow generation, floods, droughts, and36 catchment water balance across scales.37- Subsurface and groundwater hydrology: recharge, aquifer dynamics, soil-water and38 vadose-zone processes, surface–groundwater interaction.39- Hydrometeorology and snow/ice hydrology: precipitation, evapotranspiration, snowmelt, and40 land-surface water and energy partitioning.41- Hydrological modeling, forecasting, remote sensing, and data assimilation, including42 large-sample and benchmarking studies.43- Water quality, solute and sediment transport, and ecohydrology with a clear hydrological44 process or management linkage.45- Applied and regional hydrology — water-resources assessment, human impacts, land-use and46 climate-change effects — when the analysis yields transferable insight.4748## Method & evidence bar4950- The contribution must be a **defensible hydrological advance**: useful process insight,51 method, dataset analysis, or applied finding, with stated transferability or limitations.52- Models must be calibrated and evaluated with appropriate skill metrics, independent53 validation, and uncertainty treatment; equifinality and parameter sensitivity should be54 addressed.55- Observational and field studies need credible monitoring design, instrument/error56 characterization, and reproducible data processing.57- Claims of improvement require comparison against a sensible baseline model or method, not a58 weak strawman; large-sample or multi-catchment evidence strengthens generality.59- A purely regional result should be explicit about what generalizes and what does not, so60 reviewers can judge the broader hydrological value.61- Data underpinning the analysis should be available or clearly sourced, per Elsevier and62 journal data policy.6364## Structure & house style6566- Standard Elsevier research-article structure (Introduction, Study area/Data, Methods,67 Results, Discussion, Conclusions); re-check current article types and length on the live68 guide.69- The introduction must state the hydrological gap and the specific advance, not just70 describe a basin or list prior work.71- Figures should be quantitative and load-bearing (hydrographs, maps, skill/benchmark72 comparisons, uncertainty bands); study-area maps must support, not replace, analysis.73- A highlights list and a structured or graphical abstract are commonly expected — re-check74 current requirements on the live guide.75- Methods and data-availability statements must let a reader reproduce the central result.7677## Official-submission checklist7879- Before giving submission-ready advice, read `../../resources/source-basis.md` and80 `../../resources/official-source-map.md`; start from the Elsevier anchors, then cite the81 current Journal of Hydrology page you checked.82- Search the live site for "Journal of Hydrology guide for authors" and follow the current83 Elsevier version.84- Re-check article types, highlights/abstract format, and word/figure expectations.85- Confirm the data-availability/research-data policy and any repository or data-statement86 requirements.87- Re-check competing-interests, funding, author-contribution (CRediT), and AI-use88 disclosure, and open-access options.89- If the live official instructions conflict with this skill, the official instructions90 win.9192## Pre-submission self-check9394- [ ] The advance is a clear hydrological insight, method, or applied finding, not an undigested data dump.95- [ ] Models are evaluated with skill metrics, independent validation, and uncertainty treatment.96- [ ] Observational/field design, error characterization, and processing are reproducible.97- [ ] Improvement is shown against a sensible baseline, and transferability/limitations are stated.98- [ ] Highlights, abstract format, and data-availability statement meet current requirements.99- [ ] Figures are quantitative and load-bearing, not dominated by descriptive study-area maps.100101## Common desk-reject triggers102103- A regional case study presented with no transferable insight, generalization, or stated lessons.104- Model results with no calibration/validation, skill metrics, or uncertainty analysis.105- Observational study with weak monitoring design or no error characterization.106- Re-analysis of standard data with a routine method and no new hydrological understanding.107- Missing data-availability statement or non-compliance with the research-data policy.108- Scope mismatch: a pure water-engineering design, climatology, or chemistry paper with no109 hydrological process or management linkage.110111## Re-routing decision112113- Fundamental, strongly novel water-science theory/methodology → `water-resources-research`.114- Land–atmosphere water/energy/flux process focus → `agricultural-and-forest-meteorology`.115- Carbon/nutrient biogeochemical cycling dominant → `global-biogeochemical-cycles`.116- Climate-dynamics or large-scale climate framing dominant → `journal-of-climate`.117- Aquatic-ecology / freshwater-ecosystem emphasis → `limnology-and-oceanography`.118119## Output format120121```text122[Fit] High / Medium / Low (one-line reason)123[Target] Journal of Hydrology124[Topic tags] <2–3 closest hydrology topics>125[Hydrological advance] <the process/method/applied insight and its transferability>126[Method/evidence] <does calibration/validation + uncertainty + data availability clear the bar?>127[Top risk] <the single most likely reason for rejection>128[Official items to re-check] <article type / highlights / data policy / disclosures>129[Re-route suggestion] <if not a fit, a better-matched venue>130```131132---133134**Source:** [`brycewang-stanford/Awesome-Journal-Skills`](https://github.com/brycewang-stanford/Awesome-Journal-Skills) → `Agriculture-Environment-Journal-Skills/skills/journal-of-hydrology/SKILL.md`
Run npx skillmds add thedixitjain/journal-of-hydrology in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
Use when targeting Journal of Hydrology or deciding whether a hydrology manuscript fits this venue. Encodes the journal's fit, the broad process/observational/applied-hydrology contribution bar, data-and-reproducibility expectations, Elsevier house style, official-submission re-check, and desk-reject heuristics. It is listed under Research & Search on SkillMD.
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thedixitjain (@thedixitjain) published this skill. Their other Agent Skills are listed on their SkillMD profile.