Weather and wellbeing forecast in London

Weather trends

Pressure

+10.9 hPa day change Large change

Humidity

77.8 % daily average

Wind

20.2 km/h Peak wind
Strongest signal

Temperature

Daily range: 6–12.4 °C

Air quality

79.1 AQI forecast avg

Rain

0 % daily chance

Wellbeing context

Headache

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Pressure changes by -1.3 hPa; Average humidity is 77.1 %; Wind peaks at 22.5 km/h.

Sleep

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 77.1 %.

Focus

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Wind peaks at 22.5 km/h; Average humidity is 77.1 %.

Fatigue

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 77.1 %.

Joint pain

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Pressure changes by -1.3 hPa; Average humidity is 77.1 %; Low temperature is 8 °C.

Summary

The weather-related picture today is led by some joint sensitivity, some tendency toward headaches and mild sinus pressure.

Tomorrow brings the pattern around more noticeable joint discomfort and a distinctly greater tendency toward headaches to the foreground.

Sinus pressure

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 77.1 %; Pressure changes by -1.3 hPa; Wind peaks at 22.5 km/h.

Next

Thu 29 Oct 22.5 km/h 19 % 21 °C 8 °C Pressure-1.3 hPa Air quality69.7 AQI
Fri 30 Oct 20.2 km/h 0 % 12.4 °C 6 °C Pressure+10.9 hPa Air quality79.1 AQI
Sat 31 Oct 9.5 km/h 0 % 14.5 °C 3 °C Pressure+0.4 hPa Air quality83.2 AQI
Sun 1 Nov 13.5 km/h 0 % 17.8 °C 7.5 °C Pressure-4.8 hPa Air quality85.5 AQI

Weather and wellbeing guides

Weathera tracks temperature, humidity, barometric pressure, wind and air quality for London. 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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