dataset · Global
CAFE60 reanalysis
The CSIRO Climate retrospective Analysis and Forecast Ensemble system: version 1 (CAFE60v1) provides a large ensemble retrospective analysis of the global climate system from 1960 to present with sufficiently many realizations and at spatio-temporal resolutions suitable to enable probabilistic climate studies. Using a variant of the ensemble Kalman filter, 96 climate state estimates are generated over the most recent six decades. These state estimates are constrained by monthly mean ocean, atmos
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Licence: Creative Commons Attribution-ShareAlike 4.0 International Licence
Evidence quality: 50.2
Listed in aws-odr public catalogue API on 2026-10-16; relevance/value screened (haiku).
Metadata checked: 2026-10-14T13:20:00.000Z
What's in it
- Data offered docs-verified
- Global atmospheric and surface ocean fields (daily) · Land, subsurface ocean and sea ice fields (monthly) · Ensemble of 96 climate state estimates · Archive of initial conditions for ensemble forecasts
- Coverage docs-verified
- Global · 1960 to present
- Resolution docs-verified
- Temporal: daily for atmospheric and surface ocean fields; monthly for land, subsurface ocean and sea ice. Spatial resolution not stated in DOCS.
- Update frequency docs-verified
- 6 monthly (approx)
- Access docs-verified
- Open access; no AWS account required (anonymous S3 access with --no-sign-request). Licence: Creative Commons Attribution-ShareAlike 4.0 International Licence.
Useful for
- Use cases llm-inferred
- Ensemble-based climate variability baseline for climate change risk assessments · Decadal climate variability context for long-term rainfall or flow trend discussions · Ocean and sea ice boundary context for coastal defence or outfall studies
- Audience llm-inferred
- climate risk consultants · hydrologists · flood risk engineers · coastal engineers
Limitations
- Constraints llm-inferred
- Updated approximately every 6 months, so not near-real-time · Land, subsurface ocean and sea ice fields are only monthly · Spatial resolution is not stated in DOCS; check the CSIRO documentation before use · Global model output; validated against large-scale indices, not local-scale observations · Licence is CC BY-SA 4.0, so attribution and share-alike terms apply
Evidence
- arn:aws:s3:::cafe60-reanalysis-dataset-aws-open-data, arn:aws:sns:ap-southeast-2:970429975021:Cafe60-Data-Changes
- https://registry.opendata.aws/csiro-cafe60/
Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.