data api · United States

NOAA GEFS forecast, 35 day

time-optimized · Global · variable subset · 0-240h: 0.25°, 243-840h: 0.5° · 0-840h (0-35 days) · every 24h Weather forecasts from the Global Ensemble Forecast System (GEFS) model operated by NOAA NWS NCEP, transformed into Zarr format by dynamical.org.

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What's in it

Data offered docs-verified: 2 m temperature (instantaneous, min/max and mean) · surface precipitation (instantaneous and mean) · categorical precipitation type (rain, snow, ice pellets, freezing rain) · percent frozen precipitation · 10 m and 100 m wind components (u and v) · 2 m relative humidity · total cloud cover and cloud ceiling height · surface and mean sea-level pressure · downward short-wave and long-wave radiation flux at surface · precipitable water · valid time and forecast length metadata
Coverage docs-verified: Global · Forecast initialisations from 2020-10-01 00:00 UTC to present; lead times 0–35 days
Resolution docs-verified: 0.25° (~20 km) for 0–240 h lead time, 0.5° (~40 km) for 243–840 h; forecast step 3-hourly to 240 h, 6-hourly thereafter
Update frequency docs-verified: Every 24 hours, 00 UTC initialisations only
Formats docs-verified: Zarr
Access docs-verified: Public, no authentication required (anonymous HTTPS/S3 via data.source.coop); optional email query parameter for usage tracking; licence not stated, see product README

Useful for

Use cases llm-inferred: Multi-week temperature and precipitation outlook for construction programme and earthworks weather-risk screening · Ensemble rainfall spread as scenario input for early-stage drainage or surface-water planning sensitivity tests · Regional wind and cloud context for crane lifts, temporary works and site-monitoring scheduling
Audience llm-inferred: hydrologists · drainage engineers · flood consultants · civils planners · GIS analysts · geotechnical engineers

Limitations

Constraints llm-inferred: Global 0.25°/0.5° grid (~20–40 km) is too coarse for most catchment or site-scale flood and drainage modelling without downscaling · Not UK-specific; no UK Met Office or local bias correction is stated · Only 00 UTC initialisations are included, so intra-day model cycles are absent · Forecast skill declines with lead time; ensemble spread widens beyond about 10 days · Requires Zarr-capable tooling (e.g. xarray) and familiarity with the init_time × ensemble_member × lead_time dimensions · Licence not stated in the docs; check the product README before commercial use · Third-party transformation and hosting (dynamical.org, Source Cooperative) carries maintenance and availability risk

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 2026-07-24).

Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (source.coop)