I have Sky and Air, and Sky’s rain measurements are near useless.
The reason is simple methinks. I mounted it on a 3m aluminum pole attached to antenna mast on the roof of my house. The house has a corrugated iron roof. What I find is consistent over-measurments of rain and the likely reason is vibrations from rainfall on the roof travelling up the mast to the haptic sensor and or wind induced vibration in the mast that are confusing the haptic sensor.
As it happens I work int he field of sonar data analysis and am rather familiar with the possible methods and strategies for extracting signal form noise in such contexts, and this one of course has its challenges because it’ passive sonar not active (so the pulse is not of predefined form and nature but will depend on the size of the raindrop and how it strikes the haptic sensor). But because of my experience in the field and a general engineering mindset (as indeed I suspect many early adopters of such tech have) I have always wanted to:
have access to the actual signal that the sensor produces (pre-processed)
be able to calibrate it, that is if I can measure rainfall over a calibration window (1 or 5 minutes say) with a standard rain gaage beside the sensor and then use the app to say, over this time bracket I measured this much rainfall, either enough of these over different rain intensities the thing could calibrate itself to return more accurate rain measurements. Most definitely the case if the noise is itself linearly related to the actual rain intensity which is fairly likely.
I’d be keen on an upgrade to Tempest if it offered just that!