Every dataset used to build this atlas is openly available. Below are direct download links, citations, and where each one lives in the project’s data pipeline.
Raw datasets (downloaded)
| Dataset | Provider | URL | DOI | Used for |
|---|---|---|---|---|
| Berkeley Earth land+ocean 1° × 1° (1750–2024) | Berkeley Earth | https://berkeley-earth-temperature.s3.us-west-1.amazonaws.com/Global/Gridded/Complete_TAVG_LatLong1.nc | Rohde & Hausfather 2020 | All stripes, all trends |
| HadCRUT5 ensemble mean (1850–2026) | UK Met Office / UEA | https://crudata.uea.ac.uk/cru/data/temperature/HadCRUT.5.1.0.0.analysis.anomalies.ensemble_mean.nc | Morice et al. 2021 | Cross-validation |
| HadSST4 median | UK Met Office / UEA | https://crudata.uea.ac.uk/cru/data/temperature/HadSST.4.2.0.0_median.nc | — | SST component |
| CRUTEM5 land anomalies | UK Met Office / UEA | https://crudata.uea.ac.uk/cru/data/temperature/CRUTEM.5.1.0.0.anomalies.nc | — | Land-only cross-check |
| NOAA GHCN-Monthly v3.3.0 | NOAA NCEI | https://www.ncei.noaa.gov/pub/data/ghcn/v3/ghcnm.tavg.latest.qcu.tar.gz | Menne et al. | Station-level cross-check |
| NOAA Global Surface Temp v6.1 | NOAA NCEI | https://www.ncei.noaa.gov/data/noaa-global-surface-temperature/v6.1/access/gridded/ | Yin et al. 2024 | Independent gridded estimate |
| GISTEMP v4 (NASA) | NASA GISS | https://data.giss.nasa.gov/gistemp/tabledata_v4/ | Lenssen et al. 2019 | Cross-validation |
| RAPID 26°N AMOC (2004–2024) | NOC / BODC | https://rapid.ac.uk/sites/default/files/rapid_data/moc_transports.nc | 10.5285/48d0bf43-0598-ceb2-e063-7086abc062f1 | AMOC subsection |
| OSNAP 2014–2022 MOC | Georgia Tech | https://doi.org/10.35090/gatech/78023 | Fu et al. 2025 | AMOC cross-validation |
| Jomelli 2022 AMOC reconstruction (10k–2k BP) | NOAA Paleoclimate | https://www.ncei.noaa.gov/pub/data/paleo/reconstructions/vincent2022/amoc_recon_vincent2022.txt | 10.1038/s41467-022-28939-9 | AMOC Holocene context |
| Mjell 2019 sortable silt | Pangaea | https://doi.pangaea.de/10.1594/PANGAEA.899459 | Mjell et al. 2016 | Deep-current proxy |
Derived data (downloadable from this site)
/data/stripes_index.json(6.3 MB) — Index of all 9,685 locations with metadata, trends, and stripe-SVG paths/data/amoc_analysis.json(2 KB) — Summary of RAPID + OSNAP trend analysis + EWS results/data/rapid_ts.json(13 KB) — RAPID monthly AMOC time series, 240 months/data/osnap_ts.json(5 KB) — OSNAP monthly AMOC time series, 96 months/data/recon_ts.json(5 KB) — Jomelli 2022 AMOC reconstruction, 161 samples/data/ews_windows.json(70 KB) — EWS variance/autocorrelation in 2/3/4/5-year sliding windows
Reference datasets (downloaded for context, not used in atlas)
- GeoNames cities500 — 234,668 populated places worldwide
- GeoNames admin1CodesASCII — 3,865 state/province codes
Reproducible code
The full pipeline lives in the project’s code/ directory. Each script is standalone and can be re-run from raw data:
code/build_locations.py— extracts the 11,608 canonical locations from GeoNames + Berkeley Earth gridcode/extract_series.py— extracts monthly temperature series for each location, computes annual means + OLS trendscode/generate_stripes.py— generates per-location SVG stripes (annual + monthly-detail versions)code/amoc_analysis.py— RAPID/OSNAP/AMOC-recon trend + EWS analysis
Total pipeline runtime: ~5 minutes on the VM. Total disk usage: ~1.5 GB raw + 180 MB processed + 180 MB SVGs.
Citation for this work
Herman. (2026). "Climate Stripes Atlas: Local Warming for 11,608 Locations,
1850-2024, with an Investigation of AMOC Collapse Timing."
climate.hermanity.dev.
The full paper-style write-up with the 19-citation table is on the Paper page.
License
All raw datasets are used under their respective provider licenses (Berkeley Earth: CC-BY-NC, NOAA: public domain, UK Met Office: open government license, Pangaea: CC-BY). The derived SVGs, JSONs, and code in this project are released under CC-BY 4.0.