I agree that NWS [text] forecasts are usually the best, though it can be time consuming to digest them. Nate Silver's book [1] makes the interesting point that commercial forecasts almost always reduce the quality of the input data they're given from NOAA, but that part of this boils down to incentives: Nobody complains if you forecast a small chance of rain and it turns out to be sunny. The problem spot is in ruining someone's picnic. Hence, forecasts tend to bias heavily towards rain.
[0]: https://www.bloomberg.com/news/features/2018-06-14/trump-s-p...
Your blanket statement doesn't always hold. This is more accurate.
Have there any been any comparisons of the commercial services to NWS? That would be an interesting casual study.
Edit: There are some additional interesting comments downthread: https://news.ycombinator.com/item?id=22740480
I am. Spend some time in the desert southwest, particularly on indian reservations. You'll find that NWS temperatures are regularly off by 10-20°. But that's still better than Weather Underground, which can be off by as much as 50°.
One thing I will give the NWS credit for is the wind forecasts. Those things are spot-on at least 90% of the time.
I've lived in 15 cities in a dozen states, and what I've noticed is that if you're in a large city, or east of a large city, the forecasts are great.
But if you're west of a large city, or in a smaller city, it's hit-or-miss. This makes sense, as the better forecasters tend to end up in the larger markets.
Even smaller cities like Minneapolis, Buffalo, Sioux Falls, Albany, and hundreds more are located where they are because waterfalls and rapids made them the farthest extent of water travel before rapids or waterfalls or other hazards made the route too difficult.
If you are in the United States, nothing beats getting the forecast straight from the horses mouth (NWS that is). Some companies are notorious for producing 30+ day forecasts, which can't have any meaningful levels of skill.
NOAA/NWS should just create their own mobile application. I use Wx[1], which parses NWS data directly and can be found on f-droid[2] and g---le play.
Granted, Wx doesn't follow Material Design for Android in the slightest, but I like it that way because it's very information-dense, snappy, and light (unlike r--ct "native" and other JS toolkits out there).
[0]: https://news.ycombinator.com/item?id=19775291
[1]: https://gitlab.com/joshua.tee/wx
[2]: https://f-droid.org/en/packages/joshuatee.wx/