Weather and wellbeing forecast in Columbus

Weather trends

Pressure

-0.9 hPa day change

Humidity

65.7 % daily average

Wind

16 km/h Peak wind Large change
Strongest signal

Temperature

Daily range: 8.1–23.8 °C

Air quality

64.5 AQI forecast avg

Rain

0 % daily chance

Wellbeing context

Headache

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 65.7 %; Wind peaks at 16 km/h.

Sleep

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 65.7 %.

Focus

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 65.7 %.

Fatigue

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 65.7 %.

Joint pain

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 65.7 %; Low temperature is 8.1 °C.

Summary

The weather-related picture today is led by some joint sensitivity.

Tomorrow brings the pattern around more noticeable joint discomfort to the foreground.

Sinus pressure

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 65.7 %; Wind peaks at 16 km/h.

Next

Thu 29 Oct 16 km/h 0 % 23.8 °C 8.1 °C Pressure-0.9 hPa Air quality64.5 AQI
Fri 30 Oct 12.1 km/h 0 % 19.1 °C 9 °C Pressure+7.3 hPa Air quality78.4 AQI
Sat 31 Oct 11.4 km/h 0 % 16.3 °C 7.6 °C Pressure-0.9 hPa Air quality80 AQI
Sun 1 Nov 7.5 km/h 15 % 20.7 °C 9.9 °C Pressure-2.1 hPa Air quality77.2 AQI

Weather in Columbus and nearby

Dublin Grove City Westerville Delaware Reynoldsburg Upper Arlington Gahanna Hilliard Pickerington Whitehall Pataskala Worthington Bexley Powell Lewis Center London New Albany Lincoln Village Blacklick Estates Canal Winchester

Weather and wellbeing guides

Weathera tracks temperature, humidity, barometric pressure, wind and air quality for Columbus. Some people report that changes in these conditions coincide with changes in sleep, energy, mood, joint comfort or headaches. These are general city-level associations, not personal health predictions. Comparing the weather with your own observations may help you notice recurring patterns.

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