Your Pilot InterviewATPL EASA

Airborne weather radar and hidden threats

Explain tilt, beam height and attenuation without treating a dark area as a safe route.

Which part of the atmosphere is the radar sampling?

Tilt and beamwidth select a volume, not a flat surface.

A widening beam

An airborne weather radar samples reflected microwave energy, strongly influenced by liquid hydrometeors. The antenna’s tilt selects its vertical direction and beamwidth gives the sampled depth. A beam widens with range. At long range it may overshoot low precipitation or sample a different part of a cell from the part near the aircraft’s level.

In a flat-Earth illustration, the beam-centre height change is range × tan(tilt). At 40 NM and +1°, it is about 4,242 ft above the antenna. With a 3° total beamwidth, the upper and lower edges lie at tilt ±1.5°. Earth curvature, refraction and aircraft attitude compensation matter in real use and are omitted from this first model.

What reflectivity does not prove

Weak returns do not mean weak turbulence in every cloud. Ice particles can produce weaker reflectivity than liquid water, and dangerous convective features can extend beyond the strong return. Interpret the display with the approved radar procedures and weather picture. It is a sensing aid, not a turbulence-clearance map.

Change tilt without moving the cell

At 40 NM a +1° beam centre is approximately 4,242 ft above the antenna in the flat model. With a 3° total beamwidth, the lower edge is at −0.5° and the upper at +2.5°, giving centreline-relative height changes of about −2,121 and +10,612 ft. The radar is sampling a deep volume rather than one flight level.

Increase tilt to +3° while leaving the synthetic cell unchanged. The lower edge rises to +1.5°, about 6,364 ft above the antenna at 40 NM. A low precipitation region can disappear from the sampled volume even though it has not weakened. At long range, Earth curvature and atmospheric refraction also affect this geometry; the simplified laboratory isolates tilt first so that the causal relationship remains clear.

Why can the most suspicious area look dark?

A strong intervening cell can absorb and scatter the beam.

Attenuation and shadow

Heavy precipitation reduces energy reaching more distant targets and reduces the echo returning through it. The far side of a strong cell can therefore appear weak or dark. This radar shadow indicates missing information, not a verified gap. Loss of expected ground returns behind precipitation can be one clue to attenuation.

The synthetic laboratory assigns an attenuation in decibels on each path. Because the signal crosses the intervening region outward and back, a one-way 10 dB loss produces a 20 dB two-way reduction: one hundredth of the original returned power. The region behind is labelled unknown rather than safe.

Tilt is not a repair for all limitations

A tilt scan can help identify the vertical structure and ground-return pattern, but it cannot guarantee that severe attenuation has been removed or that a dark region is free of hazardous weather. Use the manufacturer’s techniques, appropriate avoidance margins and external information. Datalink weather has separate age and coverage limitations and should not be confused with the antenna’s live sampled volume.

Distinguish a gap from missing information

Two cells lie along the same antenna direction. The near cell produces an intense return and imposes a one-way loss of 10 dB. The distant cell’s return passes through that region twice, so its received power can be reduced to 1% of the unattenuated value before other losses are considered. Painting that weak return black would create a tempting apparent corridor.

In a different direction, a genuine gap could also look dark. Colour alone cannot distinguish these mechanisms. Compare tilt scans, expected ground returns, nearby structure, system attenuation indications if provided, and the wider weather information using the manufacturer’s procedures. The experiment explicitly marks the region beyond the attenuator as unknown. That is a statement about what the sensor cannot establish, not a prediction that a particular hazard definitely exists there.

Can you explain and apply the mechanism?

Four original questions. Work from the stated facts, then compare your reasoning with the explanation.

Your learning

Progress saved in this browser. Log in to sync across devices.

Learning overview