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What's the chances home weather stations have some bias in their signal (e.g. likely to be mounted on a hot roof) and that these data points get mixed into a larger corpus and someone ends up drawing incorrect conclusions from that corpus? Hopefully not high?


Absolutely they do, but that bias can be detected and weighted. More is better.


Even the Galaxy S4 phone was a beast of a weather station: onboard barometer, thermometer and humidity sensor! All can be bias corrected and useful.


I used to own S4 phone and it's one of the best smartphone ever. Actually even as the owner never knew that it has thermometer and humidity sensors built-in ten years ago that even most of the USD1K+ phones nowadays do not have these very useful sensors [1].

[1] What You May Not Know About GALAXY S4 Innovative Technology:

https://news.samsung.com/global/what-you-may-not-know-about-...


Weather Underground actually has guidelines for siting a weather station so that this is consistent --- presumably there are similar guidelines for this program:

https://www.wunderground.com/pws/installation-guide




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