dataset · Global
Sea Surface Temperature Daily Analysis: European Space Agency Climate Change Initiative product version 2.1
Global daily-mean sea surface temperatures, presented on a 0.05° latitude-longitude grid, with gaps between available daily observations filled by statistical means, spanning late 1981 to recent time. Suitable for large-scale oceanographic meteorological and climatological applications, such as evaluating or constraining environmental models or case-studies of marine heat wave events. Includes temperature uncertainty information and auxiliary information about land-sea fraction and sea-ice cover
Visit source ↗Source details
Licence: Creative Commons Licence by attribution (https://creativecommons.org/licenses/by/4.0/). For attribution cite www.nature.com/articles/s41597-019-0236-x.
Evidence quality: 38.2
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
- daily-mean sea surface temperature (SST) · SST uncertainty · land-sea fraction (auxiliary) · sea-ice cover (auxiliary)
- Coverage docs-verified
- Global · late 1981 to recent time
- Resolution docs-verified
- 0.05° latitude-longitude grid (spatial); daily (temporal)
- Update frequency docs-verified
- yearly
- Formats docs-verified
- Zarr
- Access docs-verified
- Open access, no authentication: public S3 bucket surftemp-sst (us-west-2), readable without an AWS account (aws s3 ls --no-sign-request); licence Creative Commons BY 4.0 (attribution required, cite www.nature.com/articles/s41597-019-0236-x)
Useful for
- Use cases llm-inferred
- Marine heatwave event case studies using daily SST records · Long-term SST baseline context for coastal or estuarine water temperature assessments · Boundary or constraint data for evaluating environmental and coastal models · Climate-trend context for environmental impact or climate resilience reporting
- Audience llm-inferred
- oceanographers · climate scientists · coastal and marine modellers · environmental consultants · hydrologists
Limitations
- Constraints llm-inferred
- Gaps between daily observations are filled statistically, so values in gaps are estimates rather than observations · Updated yearly, so the most recent period may lag real time · Global 0.05° grid is coarse for detailed nearshore or UK-scale site work · Zarr format requires Zarr-capable tooling; no UK-specific product or API is described · Attribution required under CC BY 4.0
Evidence
Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.