Model lowers expected cancellations to about 4 among Raleigh/Durham departures 9 AM–noon Sunday
- Current state
- Resolved: closed without a new report (The forecast window has started; measured delays are reported separately as observed items.)
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Tailodds reports what the FAA publishes, what we measure and what our model forecasts. It doesn’t control airport operations or change bookings; check with your airline about your trip.
Updates oldest first
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Initial Forecast
Model expects about 5 cancellations among Raleigh/Durham departures 9 AM–noon Sunday
Adding up each flight’s cancellation probability, Tailodds’ model expects about 5 of the 40 departures scheduled 9 AM–noon Sunday to be cancelled (13%). With calm weather it would expect about 0. From the 12:00 AM EST forecast (model famB-sd-v4i). This is a forecast, not a report of cancellations.
Evidence for this update
Target RDU departures 9 AM–noon 2026-11-15 (cancelled) Expected cancellations ~5.1 over 40 flights Forecast cycle · horizon Sun Nov 15, 12:00 AM EST · 8.0 h ahead Model version famB-sd-v4i Source event time Ingested Published here (2026-11-15 05:57 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful? -
Escalation Forecast
Model raises expected cancellations to about 16 among Raleigh/Durham departures 9 AM–noon Sunday
What changed: about 5 → 16 expected cancellations since the 12:00 AM EST forecast
Adding up each flight’s cancellation probability, Tailodds’ model expects about 16 of the 40 departures scheduled 9 AM–noon Sunday to be cancelled (39%). With calm weather it would expect about 0. From the 5:00 AM EST forecast (model famB-sd-v4i). This is a forecast, not a report of cancellations.
Evidence for this update
Target RDU departures 9 AM–noon 2026-11-15 (cancelled) Expected cancellations ~15.8 over 40 flights Forecast cycle · horizon Sun Nov 15, 5:00 AM EST · 3.1 h ahead Model version famB-sd-v4i Source event time Ingested Published here (2026-11-15 10:55 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful? -
De-escalation Forecast
Model lowers expected cancellations to about 13 among Raleigh/Durham departures 9 AM–noon Sunday
What changed: about 16 → 13 expected cancellations since the 5:00 AM EST forecast
Adding up each flight’s cancellation probability, Tailodds’ model expects about 13 of the 40 departures scheduled 9 AM–noon Sunday to be cancelled (32%). With calm weather it would expect about 0. From the 6:00 AM EST forecast (model famB-sd-v4i). This is a forecast, not a report of cancellations.
Evidence for this update
Target RDU departures 9 AM–noon 2026-11-15 (cancelled) Expected cancellations ~13.0 over 40 flights Forecast cycle · horizon Sun Nov 15, 6:00 AM EST · 2.1 h ahead Model version famB-sd-v4i Source event time Ingested Published here (2026-11-15 11:56 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful? -
De-escalation Forecast
Model lowers expected cancellations to about 4 among Raleigh/Durham departures 9 AM–noon Sunday
What changed: about 13 → 4 expected cancellations since the 6:00 AM EST forecast
Adding up each flight’s cancellation probability, Tailodds’ model expects about 4 of the 41 departures scheduled 9 AM–noon Sunday to be cancelled (10%). With calm weather it would expect about 0. From the 7:00 AM EST forecast (model famB-sd-v4i). This is a forecast, not a report of cancellations.
Evidence for this update
Target RDU departures 9 AM–noon 2026-11-15 (cancelled) Expected cancellations ~4.1 over 41 flights Forecast cycle · horizon Sun Nov 15, 7:00 AM EST · 0.6 h ahead Model version famB-sd-v4i Source event time Ingested Published here (2026-11-15 13:26 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful?
Closed Sun Nov 15, 9:01 AM EST: The forecast window has started; measured delays are reported separately as observed items.