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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)