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Industry use case

Researchers

The provenance trail your methods section needs.

Academic and applied researchers use PastClimate's ECMWF ERA5-based normals as a documented, citation-ready baseline: a fixed 0.25° grid, full processing provenance, and dated extreme-value records — without re-deriving climatology from raw reanalysis files yourself.

How PastClimate helps

Documented provenance

Every figure traces to a model version, 0.25° grid resolution and processing lineage — the detail a methods section or data-availability statement asks for.

Climatological baselines

Monthly and day-of-year normals, plus dated extreme-value records, computed once and returned identically on every query.

Reproducible citation

A formatted citation block ties your numbers to an exact dataset version, so a co-author or reviewer can trace them back.

Cross-region comparison

One global reanalysis source and one grid convention, so comparing countries isn't confounded by mismatched national datasets.

The report

Research-Grade Normals & Provenance Pack

Academic researchers, grad students and applied scientists who need a documented historical-weather baseline for a study.

Partial — some items below are roadmap

Sample report snapshot

Research-Grade Normals & Provenance Pack

Real data for Sydney, Australia · 10 years on file

Subscribe for full report

10

Years of continuous hourly record

18.5°C

Annual mean temperature

134.2mm

Wettest day on record

on 2020-02-09

1697 kWh/m²

Annual solar irradiance

Monthly temperature normals (min / mean / max)
JFMAMJJASOND
Monthly precipitation normals (mm)
JFMAMJJASOND

In your report

  • Monthly and day-of-year climatological normals (10-20 years, ERA5 reanalysis, 0.25° grid) via API, for baseline comparisons
  • Dated extreme-value records (hottest, coldest, wettest, windiest day) for citing local extremes with an exact occurrence date
  • A provenance document: source reanalysis dataset, grid resolution, model version, processing steps
  • Single-date daily/hourly CSV or API pulls, and a citation block formatted for a references list

Coming soon

  • Bulk multi-year raw daily/hourly series export (today's API is single-date range-GETs, not a bulk pull)
  • Batch export across many locations in a single API call
  • Formal uncertainty/bias-correction documentation against station observations

Curated for researchers

Paid features on PastClimate most teams in this industry reach for first.

Climate trends

Multi-year warming/cooling trend for a city.

pro

Weather anomalies

How this year compares to the historical baseline.

pro

Compare cities

Side-by-side monthly normals for two cities.

pro