dataset · Global
ECMWF IFS ENS - dynamical.org Icechunk Zarr
The Integrated Forecasting System (IFS) is a global forecast model developed by ECMWF. ENS is an ensemble configuration of IFS: 51 ensemble members in the medium range and 101 in the sub-seasonal (extended) range. IFS consists of a numerical model of the Earth system, which includes an atmospheric model at its heart, coupled with models of other Earth system components such as the ocean. The data assimilation system combines the latest weather observations with a recent forecast to obtain the be
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Licence: [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
Evidence quality: 54.7
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
- ensemble weather forecast, 15 day, 0.25 degree · ensemble weather forecast, 46 day, daily, 1.5 degree · ensemble weather forecast, 46 day, 6 hourly, 1.5 degree
- Coverage docs-verified
- Global
- Resolution docs-verified
- Spatial: 0.25 degree (15-day forecast) and 1.5 degree (46-day forecast). Temporal: daily and 6-hourly (46-day forecasts).
- Update frequency docs-verified
- Forecasts initialized every 24 hours
- Formats docs-verified
- Icechunk Zarr
- Access docs-verified
- Free and open under CC BY 4.0. Anonymous S3 access with no AWS account required (aws s3 ls --no-sign-request). No API key indicated (auth is null in ENTRY).
Useful for
- Use cases llm-inferred
- 15-day ensemble forecast inputs for weather-risk review of construction programmes and site works · Ensemble forecast context for short-range flood and surface-water risk checks on river-basin projects · Sub-seasonal ensemble outlook for extended wet or dry spell context in water-resources and drought reporting
- Audience llm-inferred
- hydrologists · flood consultants · water resources engineers · drainage engineers · GIS analysts · data scientists working with cloud-native weather data
Limitations
- Constraints llm-inferred
- Global dataset, not UK-specific; 1.5 degree grid is coarse for site-scale work · Sub-seasonal (46-day) forecasts are at 1.5 degree resolution only · Forecast data, not observations; no historical archive dates are stated in the docs · Model variables are not listed in the docs; check variables in the Zarr store before relying on them · Translated to Icechunk Zarr by a third party (dynamical.org), so access depends on that provider's maintenance · Requires Zarr or Icechunk-capable tooling to read
Evidence
- arn:aws:s3:::dynamical-ecmwf-ifs-ens, arn:aws:sns:us-west-2:761136292730:dynamical-ecmwf-ifs-ens-object_created
- https://registry.opendata.aws/dynamical-ecmwf-ifs-ens/
Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.