> I believe there are opportunities to improve short term forecast accuracy using data collected from phones.
Alright, fair point. That could be a reasonable use case.
But judging by their advertised "Community reports" feature, Acme doesn't seem to be doing this. And even if they did, this feature should be opt-in, and their privacy policy should only apply for those users.
> Also, pretty much every day, all the apps and all the sites will tell me the incorrect current conditions at my location, much less the forecast. Itās 2026 damnit. Why doesnāt my phone know what the weather is outside right now?
Have you tried looking out the window? What do you need hyper-local and minute-accurate forecasts for? If you need to know accurate current conditions get a thermometer and barometer. If you want it on your smartphone, then the app could show you live readings from your device, without sending the data anywhere.
Weather forecasts have always been an inexact science, and likely always will be. Our models have gotten better over time, and at this point I think that they're good enough. I only need to know the general temperature and likelihood of certain weather events a few days in advance, at most. If there's a chance of rain, I carry an umbrella just in case. If it's going to be cold, I pack a jacket.
Highly accurate weather prediction doesn't solve any practical problem for the average person. Hyping it up like it does only serves as marketing for companies that want to build a profitable business around it.
After thinking more about this, I don't think smartphones would even be good sources of ambient data that could improve forecasts.
Smartphones are personal computers. They spend most of their time in pockets and controlled indoor environments. This ambient data is of no use to anyone, which is why there's still a market for home weather stations, whose sensors are typically placed outside.
The barometer data is for sure noisy, and must be cleaned and quality controlled. But that is possible to do, has been for 10 years now (there are published papers and demo apps that can do it). For one, rate of change of atmospheric pressure is pretty much the same inside as out, your main challenge for the raw value to be correct is user elevation. That can be corrected in quality control as well.
Plenty of work has been done on this front, and it can be demonstrated that you can assimilate the smartphone pressures into weather models and get some good results. It is hard, of course, and Iām not sure personally how much better the forecasts get.
But itās absolutely possible.