[asdff]

One practical example of this hyper local data would be for automatic gardening. In LA, the temperature can range 20 degrees in 10 miles on a given day. It can be cool and cloudy by the beach and hot and sunny by downtown. This makes Dark Sky the only weather app that is somewhat accurate in LA.

If you are gardening in LA, and you knew the hyper local wind conditions in your plot, the light level, and the ambient moisture, you could develop an automatic watering solution for your garden that is truly hands free in all operation and can be customized based on individual plants needs. Many existing auto watering systems use soil sensors that are known to corrode and need replacement, so if you can infer soil moisture content from other non corrosive means that would be much preferred. You'd probably want to use the soil sensors at least initially to get an understanding of the function between your weather data and the particular soil composition of a given plant, but then they wouldn't have to be continually replaced.

After the recent very hot and dry winds from the desert (normally wind comes west) killed off some of my more temperamental plants last week, I'm thinking about some sort of automatic solution like this.