I'm not sure how useful the usual techniques for normalising sensors would be for moving sensors. Fixed weather stations have corrective mappings associated wi

I'm not sure how useful the usual techniques for normalising sensors would be for moving sensors. Fixed weather stations have corrective mappings associated with them. For example the station at the airport might be assumed to be 1 degree warmer than the generalised temperature for your city. It might be known to collect 5% more rain when the wind is northerly, and 8% less for southerly. These mappings are very important, because they let you shut-down a weather station, and build a new one in a different location, and compare the data from the two. if the weather stations aren't in consistent locations, with discoverable local behaviors, then converting the raw data into generalised data about the area is going to be very difficult.