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@sunt05 sunt05 commented Nov 26, 2025

Summary

  • Add automated Web of Science publications tracker for SUEWS-related papers
  • New Global Applications documentation page showing worldwide SUEWS usage
  • Reproducible script for future updates

New Files

Scripts

  • scripts/wos-papers/fetch_suews_papers.py - WoS API fetcher with analysis
  • scripts/wos-papers/README.md - Methodology documentation

Documentation

  • docs/source/global_applications.rst - New page in Community section
  • docs/source/assets/wos-papers/ - Output data (JSON, BibTeX, Markdown)

Key Findings

Metric Value
Total papers 68
Year range 2011-2026
Unique locations 24+ cities
Top regions Europe (31), Asia (14), North America (6)

Top Cities

  • London (9), Helsinki (8), Beijing (6), Dublin (5), Shanghai (3), Vancouver (3)

Application Areas

  • Model Development (45), Surface Energy Balance (35), Water Balance (35), Urban Vegetation (34)

Reproducibility

To update the data in future:

cd scripts/wos-papers
export WOS_API_KEY="your-key"
python fetch_suews_papers.py --output-dir ../../docs/source/assets/wos-papers/

Test plan

  • Verify docs build without errors
  • Check RST rendering of global_applications.rst
  • Confirm download links work for data files

🤖 Generated with Claude Code

sunt05 and others added 2 commits November 26, 2025 22:45
Add automated Web of Science publications tracker for SUEWS-related papers:

- New `scripts/wos-papers/fetch_suews_papers.py` for reproducible paper retrieval
- Comprehensive methodology documentation in `scripts/wos-papers/README.md`
- New `docs/source/global_applications.rst` showing:
  - 68 papers from Web of Science
  - Geographic distribution across 24+ cities/regions
  - Application areas (energy balance, CO2 flux, vegetation, etc.)
  - Publication trends (2011-2026)
- Output data files in JSON, BibTeX, and Markdown formats

The script uses the WoS Expanded API (requires institutional subscription) and
can be re-run to update the data for future documentation releases.
Co-authored-by: sunt05 <1802656+sunt05@users.noreply.github.com>
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🤖 I've automatically formatted the code in this PR using:

  • Python: ruff v0.8.6
  • Fortran: fprettify v0.3.7

Please pull the latest changes before making further edits.

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2 participants