![]() ![]() While damage from these events can be just a strong as a tornado, the visible debris pattern will vary. There is no rotation going on as there is no combo of red and green signatures like we saw in the above Supercell data. When viewing the storm on velocity, you can see a strong area of winds depicted in bright blue on this loop. ![]() They might be from a downburst, bow echo, or an intense squall line. Straight line winds can be caused by multiple types of storms. In a dry microburst, the rain evaporates as the air descends quickly. The image and data show an example of a wet microburst. A microburst is a smaller scale downburst that is less than or equal to 2.5 miles in diameter. While this photo isn't from the same event, you can see what one looks like from the air. Look at the radar loop of velocity data and watch for the sudden green area spreading out near Newcastle. Think of it as if you had dropped a water balloon on the pavement with water going out in every direction. As rain and wind hits the ground, it spreads out and can cause a lot of damage. You don't experience a downburst everyday, and for those in the vicinity this is a good thing! A downburst occurs when a storm collapses. Rain blocked the finer details of what was going on within the storm. In this case, the RadarScope data is actually more impressive than the photo. The tweet shows a picture of the storm at the same time it was passing Hillsboro. The velocity image shows very strong rotation lined up with the hook. In this dual-pane loop, you can easily see the hook echo as it rotates into the storm on reflectivity. In early July, a tornadic supercell paved a path through North Dakota. Tornadic supercell thunderstorm east of Hillsboro, ND. The radar reflectivity image shows a cell with very bright colors, showing the intensity of this developing thunderstorm. Here we see the everyday cumulus cloud on its way to possibly becoming a cumulonimbus. So, let's compare some RadarScope data with real life images. Have you ever looked at a RadarScope image and wondered what the associated weather would look like? Sometimes it is easy to understand what you are looking at on radar and sometimes it isn't. ![]()
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