European air quality

You are looking at european air quality forecast issued by Ensemble forecast

NEW

New data available:

→ 2015 validated reanalysis data and plots
→ 2016 interim reanalysis data and plots
→ 2017 interim reanalysis data and plots .

Please see :

Air Quality in Europe - Modelling

• Air quality predictions in Europe and the main European cities have been made using

ENSEMBLE MODEL

• Last update: 21-04-2018

Daily maximum / daily mean
AND Air quality predictions using EPSGRAMS for major European cities

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Scale for concentration (Unit : )

<2
<5
<10
<20
<30
<40
<50
<75
<100
<150
<200
>200

<50
<100
<150
<200
<250
<300
<350
<400
<500
<700
<1000
>1000

<2
<5
<10
<20
<30
<40
<50
<75
<100
<150
<200
>200

<2
<5
<10
<20
<30
<40
<50
<75
<100
<150
<200
>200

<2
<5
<10
<20
<30
<40
<50
<75
<100
<150
<200
>200

<20
<40
<60
<80
<100
<120
<140
<160
<180
<200
<240
>240

<1
<5
<10
<50
<100
<500
<1000
<2000
<5000
<10000
<20000
>200000

<1
<5
<10
<50
<100
<500
<1000
<2000
<5000
<10000
<20000
>200000

<1
<5
<10
<50
<100
<500
<1000
<2000
<5000
<10000
<20000
>200000

WARNING:
Daily mean and maximum predictions are issued from an atmospheric model with a 0.1 degree resolution. Outputs may not be correlated enough with real concentrations.
Please consult your local air quality agency, especially in the case of a pollution peak or a pollution alert.

By clicking on the icon epsgram an EPSgram on the chosen city is displayed.

→ EPSgrams are available for major European cities including European Capitals.

→ An EPSgram gives an evolution in time of an air quality prediction in a city.

It also gives an overview of the similarity between all partner predictions.

On the boxplot the median refers to concentration forecasts provided

by Ensemble Model.The range between min to max shows the spread

of results coming from partner predictions.

EPSgram basic interpretation:

→The extent of concentration gives a range of predictions issued by partner models. It can help to identify when air quality could exceed concentration threshold.

→The smaller the range in the boxplot is, the better the match to the partner outputs are. Consequently, the confidence in Ensemble outputs increases.

→The time evolution can help in detecting a lasting, polluting episode.

Predictions of daily mean & maximum concentrations are computed with Ensemble model.

Main characterics of the ENSEMBLE MODEL are:

Spatial resolution: 0.1°

Time resolution: 1 hour

Forecasts period: From step 0h to step 96h

Pollutants: O3, CO, NO2, SO2, PM10, PM2.5, birch pollen, grass pollen, olive pollen, PANS, NMVOC, NH3, NO
Note: daily mean and max only available for O3, CO, NO2, SO2, PM10, PM2.5 and pollens

Levels: From surface up to 5000m

Domain: Europe (20°W/30°N/45°E/70°N)

Methodology: Ensemble model (so called CAMS regional Ensemble) is based on seven state-of-the-art numerical air quality models developed in Europe from all seven models.
They are combined via an ensemble approach, consisting in calculating the median value of the individual outputs.
Usually, better estimates of air pollutant concentrations are generated by CAMS regional Ensemble.
Currently partner models involved in Ensemble production are:

→ CHIMERE from INERIS France Flag

→ EMEP from MET Norway France Flag

→ EURAD-IM from University of Cologne France Flag

→ LOTOS-EUROS from KNMI and TNO France Flag

→ MATCH from SMHI France Flag

→ MOCAGE from METEO-FRANCE France Flag

→ SILAM from FMI France Flag

About European air quality DATA ACCESS:

Data issued by the Ensemble model and partner models are available for download after reading and accepting the CAMS data licence terms.

DOWNLOAD ONLINE DATA (less than 30 days old)
DOWNLOAD ARCHIVED DATA (more than 30 days old)
DOWNLOAD REANALYSIS DATA (yearly average, seasonal statistics, ...)
WEB-SERVICES (registration required):

Discover all CAMS European Air Quality products by consulting on this web page the section EUROPEAN AIR QUALITY SERVICES.
Other forecasts and products are available for:

→ more pollutants : PANS, NMVOC, NH3, NO
→ other days
→ all atmospheric models involved in Copernicus Project
→ reanalyses of previous years
→ archived data.