Radar guides

How to read weather radar

What the colors mean, why velocity matters more than reflectivity, and what the radar physically cannot see.

A radar image is not a photograph of rain. It is a map of how much energy came back to an antenna, and understanding that difference is most of what separates someone who looks at radar from someone who reads it.

What the radar actually does

A WSR-88D transmits a pulse and listens. Three things come back, and each answers a different question.

  • Power — how much energy returned, reported as reflectivity in dBZ. Larger or more numerous targets return more.
  • Phase shift — whether the target moved toward or away from the radar between pulses. This is velocity, and it is the half of the data most people never look at.
  • Polarization difference — how the return differs between horizontally and vertically transmitted pulses. This is what dual-polarization added, and it is how radar distinguishes hail from rain, and debris from either.
The full CONUS radar mosaic with green and blue precipitation echoes across the United States on a near-black basemap.
The national mosaic at full resolution — every cell of a 7000×3500 grid at about one kilometre.

Go deeper: What is NEXRAD? The WSR-88D network, Level II versus Level III, and its coverage gaps

Reflectivity: what the colors mean

dBZ is logarithmic. Each 10 dBZ step is roughly a tenfold increase in returned power, so the gap between 45 and 55 dBZ is far larger than the color ramp makes it look.

dBZTypically
5–20Drizzle, light snow, or clear-air returns — insects, dust, birds
20–35Light to moderate rain
35–45Heavy rain; convective cores begin here
45–55Very heavy rain, small hail becomes plausible
55–65Hail increasingly likely
65+Extremely heavy precipitation, often including hail

Two cautions matter more than the table. The color scale is a choice, not a measurement. Two apps showing the same volume with different palettes look like different storms. The number is the datum; the color is an interpretation laid on top. That is why a serious tool lets you read the exact value at a gate rather than asking you to judge a hue.

And “composite” and “base” are different products. Base reflectivity is one elevation sweep — a single cone through the storm. Composite takes the maximum over all elevations, so a strong core aloft appears on the map even when nothing has reached the ground. A composite showing 60 dBZ over your house does not mean 60 dBZ is at your house.

Go deeper: Weather radar colors in depth: dBZ, rain rate, and why apps disagree

Velocity: the half that gets ignored

Reflectivity tells you where precipitation is. Velocity tells you what the air is doing — and rotation is invisible in reflectivity alone.

Velocity is radial. It measures only motion along the beam, toward or away from the radar. A storm moving perpendicular to the beam registers as zero. That is not a defect, it is what “Doppler” means, and forgetting it produces most beginner misreads.

One color family approaches, the other recedes. What matters is not the individual colors but tight couplets — strong inbound directly beside strong outbound over a short distance. That is rotation.

Aliasing is the artifact to learn early. Each radar has a maximum unambiguous velocity; past it, readings wrap and a very fast inbound is reported as a fast outbound. It looks like violent rotation and is not. The tell is a sharp, noisy boundary with no supporting structure in reflectivity.

Go deeper: How to read radar velocity: couplets, folding and the zero line

Dual-polarization, briefly

  • ZDR — how much wider than tall the targets are. Large raindrops flatten as they fall and give high positive ZDR; hail tumbles and gives ZDR near zero despite very high reflectivity.
  • Correlation coefficient (CC) — how uniform the targets are within the sample volume. Uniform rain sits near 0.98–1.00. Values below about 0.80 mean a mixture of very different things in the same volume — which is exactly what lofted debris is.
  • KDP — phase shift accumulated along the beam, a rain rate estimator unaffected by partial beam blockage or by hail.

You do not classify hydrometeors by eye from a table. But knowing that a 60 dBZ core with ZDR near zero is probably hail, while the same core with high ZDR is probably a great deal of very large rain, is a real diagnostic you can make in seconds.

Go deeper: Correlation coefficient in depth: typical values, uses and pitfalls

Go deeper: Virga: why radar shows rain that never lands · The cumulonimbus, and what radar sees inside it · Mammatus clouds, and the myth about them

Volume scans, tilts and time

A radar does not take a picture. It sweeps a full circle at one elevation, steps up, sweeps again, and repeats through a pattern. A complete volume takes roughly four to six minutes.

Two things follow. A radar image is minutes old before you see it, and the top of the storm was sampled at a different moment than the bottom. In fast-evolving convection that difference is real.

Walking the elevation stack is how you see structure in the vertical — whether a core is aloft or at the surface, whether rotation extends through the storm or exists at one level only. A tool that shows only the base sweep is showing one slice of a three-dimensional object.

The Storm 3D window showing reflectivity surfaces with a legend reading 18 dBZ, 35 dBZ and 50 dBZ.
Surfaces at stated thresholds rather than a single flat tilt. Every surface is a number you chose, not a look.

Next: tornado signatures put all three fields to work at once.

The other guides

  • What is NEXRAD?The US network of WSR-88D Doppler radars: how the radars scan, what Level II and Level III data are, how the network was built and upgraded, and where it cannot see.
  • Weather radar colors: what they meanReflectivity in dBZ, the approximate rain rates behind the greens and reds, why the same color means different things in different apps, and how to read velocity, CC and ZDR color scales.
  • Correlation coefficient on radarWhat CC measures, the values rain, snow, hail, smoke and birds actually produce, and the artifacts that push it low when nothing unusual is there.
  • How to read radar velocityWhat Doppler velocity actually measures, how the zero line reveals the wind profile, why data folds and aliases, when storm-relative velocity helps, and how to tell a rotation couplet from convergence.
  • What is virga, and why radar shows rain that never landsPrecipitation that evaporates before it reaches the ground: where it forms, why the radar beam sees it while the surface stays dry, how it links to dry microbursts, and the clues that separate it from rain at the ground.
  • What is a cumulonimbus cloud?The thunderstorm cloud, defined: how it grows out of towering cumulus, why its anvil flattens near the tropopause, what an overshooting top says about the updraft, and why radar sees the rain inside it but not the cloud.
  • Mammatus clouds: what they are and why they formPouch-like lobes hanging from the underside of a thunderstorm anvil. What the definitions actually say, the ten proposed formation mechanisms, and why radar does not see them.
  • Tornadoes on radarHook echoes, velocity couplets and debris signatures — and how confident each one should make you.
  • The supercell, on radarMesocyclone, BWER, rear-flank downdraft — what a rotating updraft does to the data.
  • Squall lines, bow echoes and derechosOrganized linear convection, why bowing means damaging wind, and what actually qualifies as a derecho.
  • Outlooks and forecast modelsWhat the SPC categories mean, and the most common way people misread a convection-allowing model.

Figures in these guides are unmodified output from WeatherStory Radar, which reads Level II straight from NOAA’s public archive at full resolution. Nothing is thresholded, smoothed or decimated.

Privacy · Support