[labster]

Yeah, but maybe Apple will take all of this private data, and then build their own GCM, and solve data assimilation for their new model … yeah right.

Let’s pretend that data from user portable devices isn’t garbage (it is): then what do you even do with it? In cities you’ll have thousands of readings per voxel none of which are more valuable. Then you have to clean your data, excluding data from inside or vehicles or hot pavement or heated patios and so on. Apple won’t go to the expense of running their own GCM, and I doubt even mesoscale models. All I could see is some sort of correlative AI, doing microscale adjustments to government sponsored models. So all of this work, and maybe you get one degree better at forecasts and a bit of nowcasting. And because it isn’t physics-based, you might occasionally get something very wrong happening.

The oceans are a data hole (technical term, really) as you mentioned, but the real missing data is above the surface. It’s too bad about Project Loon, because that would have been much more helpful to forecasting than a million monkeys wearing watches.