Using metrological data in our QS tracking

Been tracking some items using Apple’s Health app on my iPhone and have come to the conclusion that most the results were caused by the recent heatwave we here in the UK experienced because now the temperature has returned to somewhat normal the tracked ite,s have stopped. I did not record the air temperature so have nothing to corroborate my idea. However it got me thinking that maybe tracking weather is important too. Conditions such as SAD (Seasonal Affected Disorder) are linked to regular metrological changes, why not other things. But where does one get relevant histoical weather data from to draw the conclusion?


I get it from openweathermap and normalize the responses to a standard time series format like this:


That’s very useful and equally embarrassing because the go to weather app on my iPhone is OpenWeatherMap’s!

Will have to look more closely at their dataset offerings.


Hey, I agree! It’s part of what we built into our mobile app at LLIF.

For example, I have recurring headaches but migraines only during certain times. By tracking my occurrence of migraines and headaches I was able to plot those events on top of the Barometric Pressure graph (among others) and learn that spikes and drops were leading to pain for me.

Totally agree that tracking weather/environment data alongside your health and symptoms is helpful. Google just announced a new weather/pollen API for global data access too.

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