Can anyone tell me the point of crowd sourcing the temperature of people's pockets and the air pressure in their cars and building?
I'm building a hyper-local weather forecast using that data right now. The idea is that with such a high density of live atmosphere data (ESPECIALLY pressure) we can build a really local model. Something on the scale of city blocks; sometimes severe weather is extremely localized and the current weather forecast can't predict this because they don't have enough granular data.
This is useful to know if it's going to rain at work (but maybe not at home) for an app user. But the implications are much bigger than that - better weather forecasts can help agriculture, wind energy, transportation, etc.
Yes the data will be noisy but there's about a million times more of it than there is traditional weather data, so the noise will be filtered out and we'll build some very high resolution weather forecasts soon.