The RRFS is the 2026 replacement for the aging HRRR (High-Resolution Rapid Refresh) and RAP models. It is the first convection-allowing model built entirely on the Unified Forecast System (UFS) framework, providing 3km-resolution updates every hour for the entire North American continent, featuring improved physics for smoke, dust, and winter weather.
Before 2026, NOAA maintained a “model zoo” of different systems (HRRR, NAM, RAP). The RRFS consolidates these into a single, high-efficiency engine. Professionals search for “RRFS v1.0 technical specs” to understand how this consolidation affects “legacy data” pipelines—essentially, how they need to update their own internal tools to ingest the new RRFS data format which uses the FV3 dynamical core.
In 2026, smoke from wildfires is a year-round concern. The RRFS includes an integrated “online” aerosol module that calculates how smoke from a fire in Canada will impact visibility and solar energy production in the U.S. south. Pros search for “RRFS-Smoke AOD (Aerosol Optical Depth) skill” to determine if they can rely on the model for lung-health alerts or if they need to supplement it with private sensor data.
The RRFS is designed to run both as a “deterministic” model (one best guess) and an ensemble (many guesses). Forecasters search for the “RRFS-E spread” to see if the model is struggling with a particular forecast. If the spread is low, they can issue high-confidence temperature and wind forecasts for the aviation industry, which is a major consumer of RRFS data for fuel-efficiency planning.