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Analysing cold-climate urban heat islands using personal weather station data Cover

Analysing cold-climate urban heat islands using personal weather station data

Open Access
|Apr 2025

Figures & Tables

Table 1

Summary statistics from personal weather stations (PWS) and reference automatic weather stations (AWS).

HELSINKIESPOOVANTAATAMPERE
PWS count
Within administrative boundaries2021377578
Urban1991297272
Peri-urban2030
Rural1806
Within buffera677719695274
Urban509517517136
Peri-urban11811911924
Rural508359114
Average distance (nearest) (km)Reference3.15.45.94.7
PWS0.260.350.360.52
Seasons
Winter daily average (°C)Reference–2.9–3.7
Urban PWS–1.7–2.0–2.4–3.5
Rural PWS–2.8–2.7–3.0–3.8
Spring daily average (°C)Reference4.94.9
Urban PWS6.15.45.75.5
Rural PWS4.95.04.94.9
Summer daily average (°C)Reference17.717.1
Urban PWS18.918.618.617.9
Rural PWS17.817.817.817.3
Autumn daily average (°C)Reference6.86.0
Urban PWS7.97.57.16.3
Rural PWS6.86.96.65.9

[i] Note: aDue to shared administrative borders, these contain overlapping PWS.

bc-6-1-528-g1.png
Figure 1

(a) Locations of personal weather stations (PWS) and official stations for the different study areas, as well as the administrative boundaries; (b) their local climate zone (LCZ) classifications; and (c) their urban–rural classifications.

bc-6-1-528-g2.png
Figure 2

Counts of personal weather stations (PWS) by 250-m grid cell according to the percentage of pensioners in the population, population density and unemployment rates, where 1 is the lowest and 5 is the highest.

Note: Counts are shown in bars; sensor-hours are shown with a red line.

bc-6-1-528-g3.png
Figure 3

Density plots of the distributions of hourly urban heat island (UHI) intensity for (a) seasons; (b) day (07.00–20.00 hours) and night (21.00–06.00 hours); and (c) daylight or dark hours.

Note: Black lines show the density for all groups as a reference; vertical lines show the median for each distribution.

bc-6-1-528-g4.png
Figure 4

Variation of the daily average temperature anomalies (difference between personal weather station (PWS) temperature and reference daily average temperature) according to reference automatic weather station (AWS) temperature for urban and rural locations.

Note: Solid lines indicate the median anomaly; dashed lines show its 10th and 90th percentiles.

bc-6-1-528-g5.png
Figure 5

Personal weather station (PWS) temperature anomaly (average difference between the PWS temperatures and reference temperatures during a day) for each municipality and local climate zone (LCZ) present.

Note: Counts of PWS in each LCZ are also shown.

*Within buffers include overlapping PWS stations for Helsinki, Espoo and Vantaa.

Table 2

For reference stations and urban and rural personal weather stations (PWS), temperatures when daily average automatic weather stations (AWS) temperatures are above or below temperature percentiles, heating degree-days (HDD) and cooling degree-days (CDD).

HELSINKIESPOOVANTAATAMPERE
Above 90th percentile
Average 24-h mean (°C) (count of days)Reference20.8 (36)20.1 (39)
Urban PWS21.8 (51)21.6 (48)21.6 (46)21.0 (47)
Rural PWS20.7 (38)20.7 (38)20.7 (37)20.2 (40)
Average daytime maximum (°C)Reference25.525.1
Urban PWS27.026.927.526.4
Rural PWS25.925.825.825.9
Average night minimum (°C)Reference15.113.9
Urban PWS17.316.515.916.1
Rural PWS15.415.415.414.6
Days above 95th percentile
Average 24-h mean (°C) (count of days)Reference22.2 (21)21.7 (21)
Urban PWS23.3 (28)23.0 (25)23.1 (26)22.7 (29)
Rural PWS22.1 (20)22.0 (21)22.0 (20)21.8 (22)
Average daytime maximum (°C)Reference27.027.0
Urban PWS28.528.329.028.3
Rural PWS27.427.327.327.8
Average night minimum (°C)Reference16.415.2
Urban PWS18.617.717.217.6
Rural PWS16.616.616.615.9
Days below 10th percentile
Average 24-h mean (°C) (count of days)Reference–9.4 (27)–10.2 (28)
Urban PWS–7.4 (18)–7.9 (20)–8.6 (24)–9.4 (25)
Rural PWS–9.1 (27)–9.0 (27)–9.3 (28)–10.1 (28)
Average daytime maximum (°C)Reference–6.6–7.3
Urban PWS–4.9–5.2–5.8–6.9
Rural PWS–6.4–6.3–6.6–7.3
Average night minimum (°C)Reference–13.0–13.8
Urban PWS–10.0–10.7–11.7–12.0
Rural PWS–12.1–12.0–12.3–13.1
Days below 5th percentile
Average 24-h mean (°C) (count of days)Reference–12.6 (12)–13.9 (11)
Urban PWS–10.3 (7)–10.9 (8)–11.8 (10)–12.6 (9)
Rural PWS–12.1 (11)–12.1 (10)–12.4 (11)–13.7 (11)
Average daytime maximum (°C)Reference–9.5–9.9
Urban PWS–7.6–8.0–8.6–9.3
Rural PWS–9.1–9.0–9.4–10.1
Average night minimum (°C)Reference–16.3–18.1
Urban PWS–12.9–13.7–14.9–15.6
Rural PWS–15.3–15.3–15.5–17.2
Energy
Annual average HDDUrban PWS2,9102,9893,0633,199
Rural PWS3,1913,1833,2293,311
Annual average CDDUrban PWS156140141123
Rural PWS10710810894

[i] Note: Counts of the annual average number of days when thresholds are exceeded are also shown.

bc-6-1-528-g6.png
Figure S1

Density plots of the distributions of hourly urban heat island (UHI) intensity (90th percentile urban temperatures) for (a) seasons; (b) day (07.00–20.00 hours) and night (21.00–06.00 hours); and (c) daylight or dark hours.

Note: Black lines show the density for all groups as a reference; vertical lines show the median for each distribution.

bc-6-1-528-g7.png
Figure S2

Personal weather station (PWS) temperature anomaly (average difference between daily PWS temperatures and reference temperatures) for each municipality and local climate zone (LCZ) present by day and night for PWS within administrative boundaries.

bc-6-1-528-g8.png
Figure S3

Personal weather station (PWS) temperature anomaly (average difference between daily PWS temperatures and reference temperatures) for each municipality and local climate zone (LCZ) present by day and night for PWS within administrative boundaries

DOI: https://doi.org/10.5334/bc.528 | Journal eISSN: 2632-6655
Language: English
Submitted on: Dec 27, 2024
Accepted on: Mar 21, 2025
Published on: Apr 8, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Jonathon Taylor, Charles H. Simpson, Jaana Vanhatalo, Hasan Sohail, Oscar Brousse, Clare Heaviside, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.