European air quality

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

NEWS: RAGWEED POLLEN AVAILABLE

RAGWEED POLLEN available during the season

Please see :

AIR QUALITY in Europe: Ensemble modeling

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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,ragweed 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

EMEP from MET Norway

EURAD-IM from University of Cologne

LOTOS-EUROS from KNMI and TNO

MATCH from SMHI

MOCAGE from METEO-FRANCE

SILAM from FMI

By clicking on the icon 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.

On map:

Model:	Ensemble model
Type:
Species:
Stats:
Validity:

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

<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.