Glossary

Warn-on-Forecast System (WoFS)

Warn-on-Forecast System (WoFS)

What is Warn-on-Forecast System (WoFS)?

WoFS is a paradigm-shifting, high-resolution ensemble system designed to issue warnings based on predictions rather than just detections. In 2026, it is moving into full operational use, providing meteorologists with 0–6 hour forecasts of specific storm hazards like tornado-forming rotation and extreme downbursts well before they appear on radar.

What Else Should You Know?

How is WoFS extending “Tornado Lead Times” in 2026?

Traditionally, tornado warnings rely on a “see it on radar, warn the public” model, which offers roughly 10–15 minutes of notice. WoFS uses rapid-cycle data assimilation to simulate the internal physics of storms every 15 minutes, allowing forecasters to identify which storm cells are most likely to produce a tornado up to 60–90 minutes in advance. Professionals search for “WoFS object-based verification” to determine how the system handles false alarm rates during complex multi-storm events.

What is the role of “Storm-Scale Ensembles” in WoFS?

WoFS isn’t just one model; it’s an ensemble of dozens of 3km-resolution simulations. By looking at the “probability of rotation,” a forecaster can see if only one or all models agree on a tornado threat. In 2026, a top search is “WoFS postage stamps,” which are the visual grids that show every individual model member’s output. If the majority of “stamps” show a high-intensity storm over a city, the confidence for a “Particularly Dangerous Situation” (PDS) warning increases significantly.

How does WoFS support “Emergency Management” (EM) decision-making?

For EMs, 15 minutes is barely enough time to sound a siren, but 60 minutes is enough to evacuate a stadium or hospital. Industry professionals search for “WoFS-EM integration” to find software that translates complex model data into simple risk maps for city leaders. In 2026, this system is credited with a massive reduction in “surprise” severe weather events in the central United States.

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