Last day, in µg/m³
| City | Day | PM2,5 | PM10 | NO₂ | Ozone (hourly max.) | Desert dust |
|---|---|---|---|---|---|---|
| Paris | 25/10/2026 | 4 | 10 | 7 | 73 | 0 |
| Lyon | 25/10/2026 | 5 | 8 | 12 | 62 | 0 |
| Marseille | 25/10/2026 | 5 | 9 | 11 | 72 | 0 |
| Lille | 25/10/2026 | 3 | 8 | 3 | 75 | 0 |
| London | 25/10/2026 | 3 | 8 | 8 | 79 | 0 |
| Berlin | 25/10/2026 | 3 | 4 | 6 | 68 | 0 |
| Madrid | 25/10/2026 | 10 | 16 | 36 | 69 | 0 |
| Milan | 25/10/2026 | 18 | 23 | 28 | 72 | 0 |
| Delhi (global model) | 25/10/2026 | 51 | — | — | — | 154 |
| Beijing (global model) | 25/10/2026 | 88 | — | — | — | 15 |
| Lagos (global model) | 25/10/2026 | 19 | — | — | — | 16 |
| São Paulo (global model) | 25/10/2026 | 9 | — | — | — | 0 |
| Los Angeles (global model) | 25/10/2026 | 18 | — | — | — | 0 |
| Cairo (global model) | 25/10/2026 | 22 | — | — | — | 17 |
European cities: mean PM2.5 per year (µg/m³) and days above 15 µg/m³
| City | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Trend (µg/m³ per year) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Paris | 18 180 |
14 111 |
14 109 |
14 110 |
13 95 |
12 89 |
12 87 |
10 52 |
12 86 |
11 73 |
10 52 |
11 73 |
11 76 |
-0.44 ± 0.20 -2.9 % per year |
| Lyon | 15 132 |
11 64 |
16 160 |
14 105 |
13 94 |
10 63 |
11 73 |
11 70 |
11 87 |
11 69 |
11 54 |
12 78 |
11 83 |
-0.28 ± 0.24 -2.0 % per year |
| Marseille | 16 170 |
11 52 |
14 148 |
14 112 |
13 110 |
11 56 |
11 69 |
9 45 |
10 52 |
11 53 |
10 54 |
8 37 |
8 36 |
-0.48 ± 0.20 -3.4 % per year |
| Lille | 17 166 |
13 109 |
14 109 |
15 130 |
14 107 |
14 118 |
13 102 |
11 76 |
12 93 |
12 78 |
11 72 |
10 67 |
11 83 |
-0.44 ± 0.14 -2.8 % per year |
| London | 14 111 |
13 91 |
11 59 |
13 95 |
12 69 |
11 68 |
12 74 |
10 52 |
10 56 |
10 43 |
9 40 |
10 57 |
10 62 |
-0.33 ± 0.12 -2.6 % per year |
| Berlin | 12 93 |
14 134 |
14 126 |
15 152 |
15 124 |
14 129 |
13 101 |
10 70 |
12 83 |
10 60 |
10 51 |
9 51 |
10 63 |
-0.44 ± 0.26 -3.0 % per year |
| Madrid | 12 68 |
10 49 |
12 87 |
12 103 |
12 108 |
10 65 |
11 77 |
10 55 |
11 49 |
10 30 |
10 42 |
11 85 |
10 52 |
-0.13 ± 0.10 -1.1 % per year |
| Milan | 30 282 |
22 227 |
27 286 |
26 281 |
24 246 |
23 233 |
25 262 |
24 217 |
27 240 |
21 205 |
19 178 |
28 189 |
28 223 |
-0.13 ± 0.48 -0.5 % per year |
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Surface concentrations of the Copernicus Atmosphere Monitoring Service (CAMS), read through the Open-Meteo air-quality API at the centre of each city: for Europe, the regional ensemble of models with data assimilation (Marécal et al., 2015), about 10 km, since 2013; elsewhere, the global analyses (in the line of the reanalysis of Inness et al., 2019), about 45 km, since August 2022 only. UTC daily means of hourly values (at least 18 hours); ozone: hourly maximum. Compared with the WHO guideline levels (2021).
- WHO (2021). WHO global air quality guidelines: particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. Geneva: WHO. ISBN 978-92-4-003422-8.
-
WHO (2021). WHO global air quality guidelines: particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. Geneva: WHO. ISBN 978-92-4-003422-8.
Licence : Published literature; cited - Marécal et al. (2015)
-
Marécal, V., Peuch, V.-H., Andersson, C., Andersson, S., et al. (2015). A regional air quality forecasting system over Europe: the MACC-II daily ensemble production. Geoscientific Model Development, 8, 2777–2813.
· doi:10.5194/gmd-8-2777-2015
Licence : Published literature; cited - Inness et al. (2019)
-
Inness, A., Ades, M., Agustí-Panareda, A., Barré, J., et al. (2019). The CAMS reanalysis of atmospheric composition. Atmospheric Chemistry and Physics, 19, 3515–3556.
· doi:10.5194/acp-19-3515-2019
Licence : Published literature; cited - Air quality of European cities, CAMS European ensemble via Open-Meteo (daily from hourly)
-
Open-Meteo Air Quality API (Zippenfenig, P., Open-Meteo.com, doi:10.5281/zenodo.7970649), CAMS European air quality reanalyses (validated to 2022, interim afterwards) and analyses of the CAMS regional ensemble, 0.1° resolution.
· doi:10.5281/zenodo.7970649 · source page ↗
Licence : CC BY 4.0 (Open-Meteo); contains modified Copernicus Atmosphere Monitoring Service information · retrieved on Oct 25, 2026 · SHA-256 cc72a46e2da5… - Air quality of large cities worldwide, CAMS global via Open-Meteo (daily from hourly)
-
Open-Meteo Air Quality API (Zippenfenig, P., Open-Meteo.com, doi:10.5281/zenodo.7970649), CAMS global atmospheric composition analyses, 0.4° resolution.
· doi:10.5281/zenodo.7970649 · source page ↗
Licence : CC BY 4.0 (Open-Meteo); contains modified Copernicus Atmosphere Monitoring Service information · retrieved on Oct 25, 2026 · SHA-256 027eb9b9e5fd…