Air China MAD CAN CA3152
Air China
FLIGHT
CA3152
MAD
Adolfo Suárez Madrid–Barajas Airport
09:35
03 Mar
Now: --:-- CES
13 h 5 m
CAN
Guangzhou Baiyun International
05:40
04 Mar
Now: --:-- CS
Aircraft: b77l Altitude: 39,000ft (11.9km) Distance: 5,603 nm Duration: 13 h 5 m
AIRCRAFT
b77l
ALTITUDE
39,000ft
DISTANCE
5,603 nm
DURATION
13 h 5 m
Times and gates subject to change. Verify with airline.
Turbulence Comfort Along Route Comfort View
Comfort Score: Combines turbulence probability (GTG forecast) with intensity (ZTI analysis). High scores indicate both high probability AND high intensity turbulence.
Smooth
Light
Moderate
Severe
Flight Smoothness Score
9.0 /10
Smoothness
Smooth Flight
60%
Smooth
40%
Light

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AI-Powered Flight Briefing
đź“Š 20,000 data points analyzed HIGH Confidence
Your Flight

We analysed more than 20,000 data points along your route from Adolfo Suárez Madrid–Barajas Airport, Madrid to Guangzhou Baiyun International, Guangzhou (Huadu).

Your Journey Beta

Your route takes you over the Pyrenees, over the Alps, over the Apennines, and over the Alps – these areas can sometimes cause turbulence.

Smooth Flight

We're expecting smooth conditions throughout your flight. You can sit back and relax.

Takeoff

Takeoff should feel smooth, with calm conditions around the airport.

Winds Aloft

Winds at cruising altitude are about 53 knots. These winds are favorable and may get you there up to 64 minutes early.

Landing

Landing should feel smooth with possible light bumps with typical approach conditions.

You're in Safe Hands

If you feel nervous at any point, remember that turbulence is expected, safe, and part of normal flying. The crew is monitoring everything, and the aircraft is built to handle far more than anything you will feel. Have a safe and calm flight.

Relaxation Exercises
ZeroTurb Index (ZTI): Powered by our proprietary turbulence prediction algorithm combining atmospheric Richardson Number, wind shear analysis, temperature gradients, and geomagnetic activity for precise, real-time forecasting. Learn more
Live data from ECMWF global forecast models • 12 atmospheric pressure levels analyzed • Updated every 6 hours
Flight Timeline 13h 05min
Maximum turbulence expected per segment
Takeoff
Smooth
0:30-0:59
Smooth
0:59-1:28
Smooth
1:28-1:57
Smooth
1:57-2:26
Smooth
2:26-2:55
Light
2:55-3:24
Light
3:24-3:53
Light
3:53-4:22
Light
4:22-4:51
Light
4:51-5:20
Smooth
5:20-5:49
Light
5:49-6:18
Light
6:18-6:47
Light
6:47-7:16
Light
7:16-7:45
Smooth
7:45-8:14
Light
8:14-8:43
Light
8:43-9:12
Light
9:12-9:41
Light
9:41-10:10
Light
10:10-10:39
Light
10:39-11:08
Light
11:08-11:37
Light
11:37-12:06
Light
12:06-12:35
Light
Landing
Light
Smooth
Light
Moderate
Severe
Longer bars indicate higher turbulence intensity. Values shown are the maximum for each time segment.
Turbulence Metrics ZTI and EDR (scaled)
ZTI Scale
Smooth
<12
Light
12-30
Moderate
30-45
Severe
>45
EDR Scale
Smooth
<6
Light
6-24
Moderate
24-42
Severe
>42

Airport Weather
Departure
MAD
At Departure
13°C (Now)
NSC • 3 kt • VFR — Clear conditions, no delays expected
Arrival
CAN
At Arrival
14°C (Now)
Broken • 4 kt • MVFR — Reduced visibility, minor delays possible
☀️ Morning Flight

Morning flights typically experience smoother conditions as the atmosphere is more stable and thermal turbulence hasn't yet developed.

Wide-Body Aircraft (Large)

Large, twin-aisle aircraft like this generally provide the smoothest ride through turbulence due to their size, weight, and advanced stabilization systems.

Looking for more detailed analysis?

Data Sources & Our Approach
ZeroTurb's Custom Algorithm: We've developed a proprietary ZeroTurb Index (ZTI) algorithm that combines three meteorological indices weighted by their predictive accuracy. This gives you transparent, passenger-focused turbulence probability instead of vague categories.

This forecast integrates data from:

Disclaimer: This forecast is for informational purposes only. Always consult official aviation weather sources and follow ATC guidance.

How accurate are turbulence alerts? Alerts are based on updated forecast models and pilot reports, and can change as departure approaches.