Weather and wellbeing forecast in Nottingham

Weather trends

Pressure

+3 hPa day change Large change

Humidity

88 % daily average

Wind

7.9 km/h Peak wind
Strongest signal

Temperature

Daily range: 8.5–15.3 °C

Air quality

78.3 AQI forecast avg

Rain

0 % daily chance

Wellbeing context

Headache

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Pressure changes by +3 hPa; Average humidity is 88 %.

Sleep

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 88 %.

Focus

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 88 %.

Fatigue

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Average humidity is 88 %.

Joint pain

Weather sensitivity signal
29 Oct30 Oct31 Oct1 Nov
Signals to watch: Pressure changes by +3 hPa; Average humidity is 88 %; Low temperature is 8.5 °C.

Summary

The weather-related picture today is led by more noticeable joint discomfort.

A milder second layer concerns some tendency toward headaches and mild sinus pressure.

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 88 %; Pressure changes by +3 hPa.

Next

Thu 29 Oct 7.9 km/h 0 % 15.3 °C 8.5 °C Pressure+3 hPa Air quality78.3 AQI
Fri 30 Oct 11.1 km/h 0 % 15.1 °C 8 °C Pressure+2.1 hPa Air quality63.1 AQI
Sat 31 Oct 6.8 km/h 0 % 13.7 °C 6.7 °C Pressure+2.1 hPa Air quality53.7 AQI
Sun 1 Nov 15.2 km/h 18 % 12.5 °C 5 °C Pressure+4.8 hPa Air quality46.3 AQI

Weather in Nottingham and nearby

Leicester Derby Mansfield Burton upon Trent Chesterfield Loughborough Long Eaton Worksop Grantham Newark on Trent Ilkeston Arnold Coalville West Bridgford Sutton in Ashfield Swadlincote Hucknall Melton Mowbray Kirkby in Ashfield Staveley

Weather and wellbeing guides

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