Route turbulence forecast
Singapore → New York
Turbulence forecast for flights from Singapore Changi Airport (SIN) to John F Kennedy International Airport (JFK).
Check flights on this route
Get a segment-by-segment turbulence forecast for any scheduled flight from SIN to JFK, with live wind and pilot reports.
Live status with real-time delays and cancellations.
What to expect on this route
Northbound · Great-circle bearing -3°
The route crosses mid-latitudes where the polar jet can influence flight conditions, though exposure is shorter than on genuine long-haul crossings. A large portion of the flight crosses open ocean (Indian Ocean), where upper-level conditions are generally smoother than over continental terrain.
- Ocean / water segments
- Indian Ocean · North Atlantic
Seasonal turbulence pattern
The oceanic track sees its strongest jet-stream activity in the northern winter (Nov–Mar), when winds aloft are fastest and clear-air turbulence is more frequent.
- Peak turbulence
- November–March (Northern Hemisphere winter)
- Typically calmest
- Late spring to early autumn (May–September)
SIN → JFK turbulence FAQ
Is the Singapore to New York flight usually bumpy?
Most of the 15,341 km route sits in the mixed band with moderate jet-stream exposure. Historically that means occasional clear-air turbulence at cruise altitude is normal, especially in winter.
When is the best time to fly SIN to JFK for a smooth flight?
Statistically, Late spring to early autumn (May–September) sees the calmest conditions for this corridor. Within any season, morning departures see less convective (thunderstorm-driven) turbulence than afternoon flights.
How long is the flight from SIN to JFK?
Block time is usually around 18h 20m direct, cruising at approximately FL410 (41,000 ft). Actual duration varies with winds — tailwinds can shave 15–30 minutes, headwinds can add 30+ minutes on this northbound sector.
How accurate is Turbcast's forecast for this route?
We use live NOAA Aviation Weather Center pilot reports (PIREPs), SIGMETs and AIRMETs, layered with physics-based Ellrod and Richardson-number calculations from Open-Meteo pressure-level wind and temperature data. If a source is unavailable for a waypoint we show an em dash rather than invent a value.
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