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NOAA’s National Weather Service began operating the Rapid Refresh Forecast System on November 3, 2026, combining capabilities of existing regional models across a North American domain. The system provides hourly updates, forecasts for the contiguous United States out to 84 hours, and new tools for smoke, dust and wildfire potential; NOAA says several legacy models will be retired.

NOAA’s National Weather Service put its Rapid Refresh Forecast System (RRFS) into operation on November 3, beginning a shift away from several aging regional models toward a single system covering North America. NOAA says RRFS will issue hourly, high-resolution forecasts, extend forecasts for the contiguous United States to 84 hours and add operational tools for predicting smoke, dust and wildfire potential.

RRFS brings together capabilities from two existing NOAA systems: the High Resolution Rapid Refresh model (HRRR), which updates hourly and forecasts conditions on a 3-kilometer grid, and the North American Mesoscale model (NAM), which covers a broader continental area. NOAA says the new system combines that level of detail with a larger domain and longer forecast lead times. For the contiguous United States, RRFS extends forecasts to 84 hours, compared with 48 hours for HRRR.

The operational system covers all of North America, including Alaska, Hawaii and Puerto Rico, as well as Canada, Mexico, Central America and the Caribbean. NOAA says its forecasts include coastal and offshore areas, allowing forecasters to use a more continuous depiction of conditions where earlier work could require switching between models. The agency says the system is designed to help predict localized hazards such as thunderstorms, tornadoes and flash floods.

RRFS was designed alongside the Rapid Refresh Ensemble Forecast System (REFS), which produces multiple simulations using RRFS data. NOAA says REFS also operates on a 3-kilometer surface grid and can estimate probabilities for localized events, including severe hail and flash flooding. A separate 1.5-kilometer mode can be used on demand for smaller-scale forecasts, such as developing severe storms, winter weather along travel corridors and fire-weather conditions.

At a glance
announcementWhen: Implemented November 3, 2026
The developmentNOAA’s National Weather Service has put the Rapid Refresh Forecast System into operation, replacing a set of older regional models.

More Detail for Local Hazard Forecasts

The change matters because forecasts of severe weather and other hazards often need to describe conditions at a local scale. NOAA says RRFS’s finer grid, hourly updates and broader geographic coverage are intended to give forecasters more detailed information for warnings and decisions by emergency managers. The agency has not provided in this announcement a measured improvement in forecast accuracy; the capabilities described are features of the system, while its real-world performance will need to be evaluated over time.

The system also brings air-quality and fire-related forecasting into the operational modeling suite. NOAA’s Global Systems Laboratory developed RRFS-SD, a smoke-and-dust component that uses satellite and weather-model data to forecast the movement of particles from fires and dust storms. Its forecasts cover the next 18 to 84 hours and distinguish between high-altitude smoke, which can affect aviation and temperatures, and ground-level particles relevant to health and visibility. NOAA says those forecasts can support air-quality alerts.

RRFS-SD also includes what NOAA describes as its first hourly wildfire potential forecast, intended to assess the risk of rapid, intense fire spread. That information may help agencies monitor evolving conditions, but the announcement does not specify how the forecast will be used by individual jurisdictions or how its performance compares with existing fire-weather products.

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From Regional Models to RRFS

NOAA describes RRFS as a step toward a more unified forecast system spanning global and local scales. Before its deployment, the agency relied on a collection of regional systems with different strengths and coverage. HRRR offered frequent updates and fine-scale forecasts, while NAM covered a larger area; RRFS is intended to combine those functions rather than leave them in separate models.

As RRFS becomes operational, NOAA says it will discontinue several legacy products: NAM, the Short Range Ensemble Forecast, the High Resolution Ensemble Forecast, the High Resolution Window and NAM Model Output Statistics. This is a planned consolidation of the regional modeling suite, not a claim that every forecast product or forecasting method used by the NWS is being replaced. The agency says RRFS and REFS were developed through work involving NOAA’s Global Systems Laboratory, the NWS Office of Modeling and Development, other NWS groups, universities, federal agencies and international partners.

“The transition of RRFS from research to operations represents a major step towards modernizing NOAA’s weather forecast modeling suite.”

— Neil Jacobs, NOAA administrator

Performance and Rollout Details

NOAA’s announcement describes RRFS’s capabilities and intended benefits, but does not provide independent performance results or numerical comparisons showing how much forecast accuracy has changed. It is also not clear from the announcement exactly when each listed legacy model will be shut down, whether all products will be retired at the same time, or how forecasters will handle any temporary gaps during the changeover.

The announcement does not give operational details such as update schedules for each product, availability of the on-demand 1.5-kilometer mode, or the geographic and timing criteria for deploying it. The stated 84-hour lead time applies to the contiguous United States; the source does not specify equivalent forecast ranges for every other part of RRFS’s coverage area.

Legacy Models to Be Retired

NOAA says it will discontinue the named legacy regional systems as RRFS enters operations, consolidating those functions within the NWS modeling suite. The agency has not provided a timetable for each retirement in the announcement. Forecasters and users will be able to assess the system’s practical value as it is used for routine forecasts, warnings, fire-weather monitoring and air-quality information.

Further details from NOAA and the National Weather Service will be needed to clarify the transition schedule and report measured performance. In the meantime, the confirmed development is that RRFS has moved from research into NWS operations, with the listed model retirements and the system’s longer-term results still to be tracked.

Key Questions

What is the Rapid Refresh Forecast System?

RRFS is NOAA’s new operational regional weather forecasting system. It combines capabilities associated with HRRR and NAM and is designed to provide detailed, hourly-updating forecasts across North America.

How far ahead can RRFS forecast?

NOAA says RRFS extends forecasts for the contiguous United States to 84 hours, compared with HRRR’s 48 hours. The announcement does not give the same lead-time figure for every other area in the system’s coverage.

What new smoke and wildfire information does it provide?

The RRFS-SD component forecasts the movement of smoke and dust over 18 to 84 hours and includes an hourly wildfire-potential forecast. NOAA says the smoke predictions distinguish high-altitude particles from ground-level particles that affect health and visibility.

Which models will NOAA discontinue?

NOAA says it plans to retire NAM, the Short Range Ensemble Forecast, the High Resolution Ensemble Forecast, the High Resolution Window and NAM Model Output Statistics as RRFS comes into operation. The announcement does not specify a separate retirement date for each one.

Has NOAA shown that RRFS is more accurate?

NOAA officials say the system is intended to support better forecasts and warnings, but the announcement does not provide quantified accuracy results or an independent comparison. Its performance will need to be evaluated as operational data and assessments become available.

Source: noaa.gov

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