dataset · USA
NOAA National Blend of Models (NBM)
The National Blend of Models (NBM) is a nationally consistent and skillful suite of calibrated forecast guidance based on a blend of both NWS and non-NWS numerical weather prediction model data and post-processed model guidance. The goal of the NBM is to create a highly accurate, skillful and consistent starting point for the gridded forecast.
Visit source ↗Source details
Licence: NOAA data disseminated through NODD are open to the public and can be used as desired. <br/> <br/> NOAA makes data openly available to ensure maximum use of our data, and to spur and encourage explora
Evidence quality: 27
Listed in aws-odr public catalogue API on 2026-10-16; relevance/value screened (haiku).
Metadata checked: 2026-10-14T13:20:00.000Z
Evidence
- AWS resource:
arn:aws:s3:::noaa-nbm-pds, arn:aws:sns:us-east-1:123901341784:NewNBMCOGObject, arn:aws:s3:::noaa-nbm-grib2-pds - https://registry.opendata.aws/noaa-nbm/
Related sources
- NOAA MRMS - dynamical.org Icechunk Zarr
- EPA Dynamically Downscaled Ensemble (EDDE) Version 1
- EPA Dynamically Downscaled Ensemble (EDDE) Version 2
- NOAA U.S. Climate Gridded Dataset (NClimGrid)
- GRIDMET: University of Idaho Gridded Surface Meteorological Dataset
- NOAA Analysis of Record for Calibration (AORC) Dataset
Browse: Weather & climate
Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.