And if your not able to use the raw data go to the NWS site which displays it in human friendly form: https://www.weather.gov/
On that note: thank you for providing those links!
I learned something new today, and I can think of some uses for that data.
Yeah probably true, I didn't post a source because I thought it was common knowledge which in retrospect I'm not sure why I thought that.
And I'm glad you enjoyed the links, when I first started looking into the raw NOAA data and PRISM[1] data it took a bit to figure out what to do with it. But I've found the GDAL library helpful for parsing various weather data formats, and there are a lot of them[2].
[1]: https://prism.oregonstate.edu/
[2]: https://gdal.org/
Aside from point, weather station observations, most weather/climate data is gridded and you are right, GDAL provides lots of tools for processing and transforming gridded (raster) data products. DevelopmentSeed (no affiliation) creates some neat tools and I'd recommend following OSGEO[2] and the FOSS4G conference.
[0]: https://www.prism.oregonstate.edu/documents/pubs/1997appclim... [1]: https://github.com/developmentseed [2]: https://www.osgeo.org/
There's a name for this phenomenon! It's a cognitive bias called the "Curse of Knowledge": https://en.wikipedia.org/wiki/Curse_of_knowledge
In a nutshell, we instinctively assume others know what we know. This was probably true when we lived in small tribes on the Serengeti, but not so much in the global information age.
It takes practice, but you can grow the habit of always providing a little extra context without sounding patronizing, as well, at least in-person, a better sense for when people are following the conversation.
What helped me grow this skill was lots of pair-programming, because that daily pair rotation forces you to be really good at context-sharing on the quick.
The majority of the data available to download is superfluous to most people hence why only a subset is shown on any weather app or website including forecast.weather.gov or Accuweather or whatever.
> It’s reasonable to separate providing data to providing data to the public
The NWS actually does provide visualizations for most of their data, and at this point I feel you don't know much about weather data/forecasting and are just looking to argue online. I provided a bunch of links below that allow curious people to look through American model data without having to use a company or having to program their own software. This list doesn't even include free to use apps/sites made by companies. American weather data is easy to access and view for free, Where as European model data is harder to access because you have to pay for it.
[1]: https://www.ready.noaa.gov/READY_animations.php
[2]: https://www.cpc.ncep.noaa.gov/
[4]: https://prism.oregonstate.edu/
My original interest was displaying each days forecast vs what it had been the day before, but it turned out less interesting than I had expected. However, it’s easy to get sucked into this stuff.