NOAA NBM Parallel: National Blend of Weather Forecast Models

The National Blend of Models (NBM) Parallel is a test version of a nationally consistent suite of calibrated weather forecast guidance. It blends data from both National Weather Service and non-NWS numerical weather prediction models. This dataset is a candidate for operational implementation following a vetting process.

Use Cases

• Evaluate forecast skill improvements based on blended model guidance
• Compare parallel test forecasts with operational model outputs
• Develop downstream applications for gridded weather data based on nationally consistent guidance

Strengths

• Blends data from multiple authoritative weather prediction models
• Designed to be a nationally consistent and skillful forecast starting point

Limitations

• Row count and column-level documentation are unknown
• Data is a test version; stability and final features are not guaranteed
• Last update date is unknown; freshness unverified

Provenance

Source

NOAA

Collection Method

Blend of NWS and non-NWS numerical weather prediction model data and post-processed guidance

Geography

National coverage (United States)