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ECMWF AIFS Single forecast, virtual
map-optimized · low-latency · Global · all variables · 0.25° · 0-360h (0-15 days) · every 6h Weather forecasts from the ECMWF Artificial Intelligence Forecasting System (AIFS) Single model, transformed into Icechunk Zarr format by dynamical.org.
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What's in it
- Data offered docs-verified
- ECMWF AIFS Single weather forecasts · all variables
- Coverage docs-verified
- Global
- Resolution docs-verified
- 0.25° spatial; forecast lead time 0-360h
- Update frequency docs-verified
- every 6h
- Formats docs-verified
- Icechunk Zarr
- Access llm-inferred
- Public; anonymous HTTPS/S3 access via data.source.coop; licence: see product README
Useful for
- Use cases llm-inferred
- Short-range rainfall and temperature forecast context for flood risk checks on a catchment scale · Gridded forecast fields as weather-risk context for construction programme planning · Forecast weather context for ecological survey scheduling
- Audience llm-inferred
- flood consultants · hydrologists · civils engineers · GIS analysts
Limitations
- Constraints docs-verified
- Forecast horizon limited to 0-360h (0-15 days) · 0.25° grid is coarser than site-scale data and is not site-specific · Output is in Icechunk Zarr format, so it needs Zarr or Icechunk-capable tooling · Dataset is recent (created 28 Sep 2026, versions v0.1.0 and v0.2.0), so maintenance history is short · Licence is not stated in the docs; see product README
- Licence
- see product README
- Authentication
- Public; anonymous HTTPS/S3 access via data.source.coop
- GitHub stars
- Unknown
- Last commit
- Unknown
- Last successful page check
- 14/10/2026
- Page health
- page reachable
- Package
- Not recorded
- Verification
- Not independently verified
Provenance & evidence
Verified via Source Cooperative API /api/v1/products/dynamical (public product, updated 2026-09-28).
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (source.coop)