Frequently asked questions

  1. What is convection?
  2. What is convective initiation, or CI?
  3. Why use satellite data to look for initiation when we have weather radar?
  4. How does the SATCAST algorithm detect and score clouds?
  5. How is model data used in the algorithm?

What is convection?

Photos 1 to 4 of cumulus clouds growing from small, flat clouds into a towering cloud.
Select the slide to open it full size.

Convection: plumes of rising air, or thermals, condense into cumulus clouds when there is enough moisture in the atmosphere.

Shallow convection produces circulations low in the atmosphere that form cumulus clouds (photo 1). It will not necessarily produce showers.

Deeper, more vigorous convection can produce showery weather, from small, short-lived afternoon rain showers (photos 2–4) to deep, towering cumulus that become a thunderstorm.

Photos © R. Hankers.

What is convective initiation, or CI?

Radar image from the Hytop, Alabama radar on 17 June 2013, with mature convection in a line of storms on the left and convective initiation occurring on the right.
Select the slide to open it full size.

Not all clouds hold enough moisture to show up on radar; fair-weather cumulus clouds, for example, do not. If there is enough instability, clouds keep growing vertically, condensing enough moisture to form radar echoes. When a radar echo reaches 35 dBZ (light to moderate rain), convective initiation is achieved.

The radar image, from the Hytop, Alabama (KHTX) radar, shows mature convection that has developed into a line of storms, and new areas where convective initiation is occurring.

Radar image from the UCAR/RAP real-time weather data site.

Why use satellite data to look for initiation when we have weather radar?

Visible satellite image of the United States, and a diagram comparing satellite detection and radar detection of a growing cloud over time.
Select the slide to open it full size.
  • Geostationary satellites look down on the Earth from a fixed location.
  • This gives imagery of the continental United States every 5–15 minutes.
  • Cloud growth can take hours for typical summer afternoon clouds, or 15–30 minutes for strong thunderstorm development.
  • Satellites observe the clouds as they form, 5–90 minutes before radar echoes appear, depending on the environment.

The diagram shows that satellite detection starts earlier in a cloud’s growth than radar detection, so a forecast that uses satellite data has a longer lead time.

How does the SATCAST algorithm detect and score clouds?

Satellite image with immature convective clouds marked as colored dots, and a diagram of a cloud top cooling from 0 to minus 10 degrees Celsius as it grows between two times.
Select the slide to open it full size.
  • Visible and infrared data from GOES East and West are ingested by the algorithm.
  • Immature convective clouds are identified and tracked as cloud objects, shown as colored dots in the image.
  • Infrared temperatures from three channels are averaged for each cloud object.
  • These averages, together with the change in size of the cloud objects and the cloud types, give nine satellite “interest” fields that the algorithm uses.

The diagram shows a cloud top cooling from 0 °C to −10 °C as the cloud grows between two times.

How is model data used in the algorithm?

Stack of weather model maps, and two example SATCAST maps of the western and eastern United States from 6 May 2013.
Select the slide to open it full size.
  • Model data is used to describe the environment a cloud is growing in.
  • Currently, 15 model fields are used to diagnose the convective environment.
  • All of this information goes into a logistic regression model, which produces a probability of convective initiation.

The lower images are example SATCAST probability maps for the western and eastern United States.