Level 2 is higher resolution than level 3 (which may seem counter intuitive).
Level 3 and Level 2 refer to the resolution of the data, how many pixels it has. GrLevelX (both 2 and 3) smooths if enabled, and any phone or tablet app is capable of doing the same (although many seem to be missing this capability).
#Laptop radarscope software
This is a graphics/drawing option of the software and not part of the radar data itself. It's translating your data away from its "pure" state and may cause you to infer or focus on features that don't really exist.Ĭlick to expand.You can smooth any radar data. Some people like this effect, but it isn't a meteorological algorithm, it's just the operating system's graphics libraries smoothing out jagged edges. Some of these programs allow you to apply a graphical smoothing effect. An NWS WCM probably wants L2 data because it's the best thing they have available, but when you're out there chasing, the actual sky has an infinite resolution It's not really practical to chase with it because of the size and the minimal benefit you get from the enhanced resolution. Level 2 scans are much more high resolution, but the files are much larger. This is GrLevel2, WCT, and Skip Talbot's animations. If you're chasing, you pretty much need to purchase one of these 3rd party feeds.ģ) Take Level 2 NEXRAD radar data and rasterize the image locally on the device. Allison House, Caprock, and a few other places sell this data.
#Laptop radarscope free
NOAA has a free feed, but this routinely gets overwhelmed on MOD/HIGH risk days. 元 data is small enough that it's the preferred data to use while chasing mobile. This is GrLevel3, RadarScope, Pykl3, WCT, and maybe one or two others. This is 95% of apps, especially on mobile.Ģ) Take Level 3 NEXRAD radar data and rasterize the image locally on the device. Data is lost, the images aren't efficient to transmit, and radar updates are slower to reach the user. Marcus pretty much nailed it, but apps fall into the following categories:ġ) Display radar images that some other place rasterized and uploaded. I actually like your radarscope image better (I'll explain why below).
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