I’ve been thinking about this for a while now, Figured it would be an intersting idea to bring up here.

In my opinion, one of the major reasons UAP sightings aren’t taken seriously in the scientific community is the lack of an ability to easily confirm the evidence (audio/video) as authentic, and the fidelity of the data is often really poor.

As a supplement to sightings, I think it would be really interesting to look into exploring atmospheric radar data as a source of secondary confirmation. I’m certainly no expert, but it looks like there is at least one radar network called NEXRAD from the NOAA that operates in the S-band, which it seems is often used for airspace surveillance as well. This data seems to be free and publicly available.

Assuming there is a good raw data stream out there, I don’t think it would be too far-fetched to think that someone could create some sort of program that could detect atmospheric anomolies (be it airplanes, weather balloons or indeed UAPs)

This way, many sightings could be confirmed from a dataset entirely seperate from the source (given the location and time of the sighting is known). I think something like this could do wonders for backing up unverified images or footage with hard data.

I’ve been pondering trying to throw something together from that NEXRAD data set, I have a background in physics and math, and my occupation involves programming in Python, although I doubt interpreting these data sets is a simple task, it might be a fun challenge. I wonder if this is a path that has been explored before.

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