Buoy Detection and Analysis – Description


The US mainland is shrouded in a slew of weather detection buoys. In my humble opinion, the data from these buoys are greavingly under-used and ignored by much of the weather analysis personel in the US. There are many reasons for this, not far from the top is the validity of the data.

There is only a portion of these buoys that are under the ownership of the US government. Many are under the ownership and responsibility of private companies. The bulk of them are in the petroleum industry. The angst between the petroleum industry and conservation agencies are well documented by other media outlets and I don’t care to re-hash it here. Suffice to say, if the two just got into sync, lots could be done to protect the mainland and outlying areas. But, we are not there.

The main issue with weather detection and analysis (WDA) is the inherently liability if people actually use it for the intended purpose. I’ve witheld many of my ideas due to this. Imagine, all your methods are mathematically sound, but the underlying data is flawed…. People make decisions, launch ships, they flip, lives are lost. Well, the data that helped the captains make those decisions are called into investigation. Well, …. you can see the issue.

However, I’m a permanently disabled mathematician, data analysis and programmer. I no longer see what multi-million dollar lawsuit can do to harm me anymore. So, I’m pretty much saying, “fuck it” and following my ideas for building a buoy-data driven early warning WDA system in hopes that someone in power will see the validity of this proof of concept and run with it. The data is all there, easily scraped from the various locations. It is time to get coding in hopes that the human element can make use of the WDA to make wise choices for their life decisions.


Mainland, or Continental, United States. Phase 2 will include Hawaii and Alaska. Phase 3, if possible, will investigate the possibility of tapping into other countries buoy-generated data. For now, we are looking at Phase 1 as I know this data is available, and is most relevant to Jay’s Cafe’ Community (where I live).


Using RSS XML aggregators, feed the data into a database to be retrieved from weather.jayctheriot.com to build weather maps showing the inherent risks to life and property.

I have to stop writing here. I’m starting to fade.

%d bloggers like this: