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dataset · USA

NOAA National Water Model Retrospective

NOAA National Water Model Retrospective (NOAA OWP). Access: S3 (anonymous). Formats: Zarr, NetCDF. Resolution: 1 km / reach. Coverage: USA. Pricing/licence: free.

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Source details

Licence: free

Evidence quality: 30.1

Verified 2026-10-16 (curl HTTP 200).

Metadata checked: 2026-10-14T13:20:00.000Z

What's in it

Data offered docs-verified
hourly streamflow · 3-hourly land surface output · NWM meteorological forcing inputs · hydrologic and land surface model outputs (varies by NWM version)
Coverage docs-verified
CONUS (v3.0 also includes Alaska, Hawaii and Puerto Rico / US Virgin Islands) · v3.0: February 1979 to January 2023; v2.1: February 1979 to December 2020; v2.0: January 1993 to December 2018; v1.2: January 1993 to December 2017
Resolution llm-inferred
1 km / reach
Update frequency docs-verified
No updates
Formats docs-verified
NetCDF · Zarr
Access docs-verified
Open data with no restrictions on use; anonymous S3 access (AWS CLI with --no-sign-request), no AWS account required; free

Useful for

Use cases llm-inferred
FRA baseline flow frequency analysis from long-term hourly simulated streamflow at reach scale · Historical context for current near real-time streamflow, soil moisture and snowpack conditions · Training or verification data for flood or drainage models that need a long baseline record
Audience llm-inferred
flood consultants · hydrologists · drainage engineers · water resources engineers · GIS analysts

Limitations

Constraints docs-verified
No streamflow or data assimilation in the retrospective runs, so outputs are not observation-corrected · Retrospective output frequency and fields differ from the real-time operational NWM · Zarr holds only a subset of output fields, varying by version · Alaska, Hawaii and Puerto Rico / US Virgin Islands coverage is available only for v3.0 · Very large archive (tutorial cites 250 TB for the NWM dataset)

Evidence

Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.