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Introduction
The regional air quality production quality production of the Copernicus Atmosphere Monitoring Service (CAMS) is based on an ensemble of 9 11 state-of-the-art numerical air quality models developed in Europe : CHIMERE from INERIS (France), EMEP from MET Norway (Norway), EURAD-IM from from Jülich IEK (Germany), LOTOS-EUROS from KNMI and TNO (Netherlands), MATCH from SMHI (Sweden), MOCAGE from METEO-FRANCE (France), SILAM from FMI (Finland), DEHM from AARHUS UNIVERSITY (Denmark), and GEM-AQ from IEP-NRI (Poland), MONARCH from BSC (Spain) and MINNI from ENEA (Italy).
The regional air quality models provide two streams of regional reanalysis reanalyses every year of the main atmospheric pollutants concentrations, in the lowest layers of the atmosphere for the European domain (east boundary=25.0° W, west=45.0° E, south=30.0° N, north=72.0°). Their horizontal resolution is 0.1° approximately from 3 km (at 72.0°N) to 10 km (at 30°N), allowing background air pollution levels and medium-range atmospheric composition to be monitored. To get insight into your local area, please liaise with your national or local air quality agency.
Two streams of regional European reanalyses are produced every year:
1) “interim” re-analyses are data assimilated fields of air pollutant concentrations, based on up-to-date observation data. Since October 1st, 2015, according to EU Decision 2011/850/EU on reciprocal exchange of information and reporting on ambient air quality, EU Member States must report to the European Environment Agency (EEA) observation data as soon as it is produced, even if the necessary validation process is not completed. Such data is thus flagged as “non-validated” or “non- verified” data. Up-to-Date (UTD) data should be considered as provisional or “interim” data, until they are flagged as “validated” by the Member States, which can formally happen more than one year after their production.
2) ‘validated’ reanalyses are data assimilated fields of air pollutant concentrations based on observation data rigorously validated according to the air quality reporting principles set in EU Decision 2011/850/EU on reciprocal exchange of information and reporting on ambient air quality. These data are reported by the Member States to the European Environment Agency (EEA) in autumn, every year for the previous year.
The same post-processing are operated on the these two streams.
Reanalyses from all partner models are combined in calculating the median value of the individual outputs, which currently gives the best estimate from the ensemble. In that case the median value is designated as the ENSEMBLE output.
Please note that access to the numerical data produced by the production chains of the individual models and the ENSEMBLE output is subject to your prior acceptance of the Licence agreement and registration (read more here for licence and here for registration).
Air quality models and data assimilation system
The nine air quality models use the meteorological parameters settings coming from operational ECMWF IFS, the boundary conditions for chemical species coming from IFS global production, the emissions coming from CAMS emission (for anthropic emissions over Europe and for biomass burning).
Table 1: Air quality models (Source: Regional Production, Updated documentation covering all Regional operational systems and the ENSEMBLE (01-2021) document)
Data access
Data is available for download from the CAMS Atmosphere Data Store (ADS). CAMS ADS registered users can access the available data interactively through the CAMS European air quality reanalyses ADS download web interface and/or programmatically using the API as per instructions detailed here.
Data availability
The CAMS European air quality reanalyses is available for recent years.
Interim reanalyses become available for whole year Y on May of year Y+1.
Validated reanalyses become available for whole year Y in November year Y+2.
Table 2: Next release dates (last update )
2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
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2022 |
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2023 |
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expected in 2022
expected in 2022
The data for 2014 and 2015 will be published at later date.
Spatial grid
Horizontal resolution of ENSEMBLE reanalyses is on a 0.1°× 0.1° regular latitude-longitude grid.
The nine individual models have different native spatial grids (for details see Regional Production, Updated documentation covering all Regional operational systems and the ENSEMBLE (01-2021) document) and they are interpolated on the ensemble common regular grid for each time step of the hourly reanalyses.
Temporal frequency
The yearly ensemble reanalyses is available with a Time resolution of 1 hour from step 1st January to the 31st of December.
Data format
Data are available in NetCDF format for the individual models outputs and for the ENSEMBLE outputs.
Level listings
Vertical levels: Surface, 50m, 250m, 500m, 1000m, 2000m, 3000m, 5000m
Product listings
The following species could be considered experimental and without assessment and to be used with caution:
- SIA
- PANs
- NMVOC
- PM10_WF
- PM25_FF
- PM25_WB
- NH3
- PM10 DUST
The land-sea mask field used to produce the regional air quality data is attached here below, already interpolated to a regular lat/lon grid of 0.1°x0.1°:
name
units
land-sea mask (netCDF4)
Table 3: List of parameters
ammonia
pm10_wildfires
Particulate matter d < 2.5 µm, anthropogenic fossil fuel carbon only (PM2.5_FF)
pm2.5_anthropogenic_fossil_fuel_carbon
pm2.5_anthropogenic_wood_burning_carbon
In Situ Observations
In situ observations used as input into the CAMS regional services to constrain the regional forecast models. In situ observations are also used in the evaluation and quality assurance (EQA) of all CAMS products.
title | Table 1: In situ observations |
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IRA | Published on ADS | Published on ADS | Published on ADS*** | ||||||||
VRA | Published on ADS* | Published on ADS* | Published on ADS* | Published on ADS** | Published on ADS** | Published on ADS | Published on ADS | Published on ADS | Published on ADS*** | expected in 2024 | expected in 2025 |
*for surface O3, NO2,PM2.5 and PM10 concentrations from the ENSEMBLE only.
**for surface O3, NO2, CO,SO2, PM2.5 and PM10 concentrations from the ENSEMBLE only.
***Two more species are provided: Formaldehyde(HCHO) and Glyoxal(CHOCHO)
Note |
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MATCH data are available for some type and years. Please check on the ADS for availability. |
Spatial grid
Horizontal resolution of ENSEMBLE reanalyses is on a 0.1°× 0.1° regular latitude-longitude grid.
The eleven individual models have different native spatial grids (for details see Regional Production, Updated documentation covering all Regional operational systems and the ENSEMBLE (01-2021) document) and they are interpolated on the ensemble common regular grid for each time step of the hourly reanalyses.
Note |
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It's worth noting that it was decided to harmonize grid definitions between the NRT production and the reanalyses production in 2022. |
From VRA2020 and IRA2022, the grid definition is:
700 x 420 gridpoints:
– from -24.95°E to 44.95°E
– from 30.05°N to 71.95°N
– Resolution 0.1° x 0.1°
For all previous productions (to VRA2020 and IRA2022) the grid definition is :
701 x 421 gridpoints:
– from -25°E to 45°E
– from 30.0°N to 72°N
– Resolution 0.1° x 0.1°
Temporal frequency
The yearly ensemble reanalyses is available with a Time resolution of 1 hour from step 1st January to the 31st of December.
Data format
Data are available in NetCDF format for the individual models outputs and for the ENSEMBLE outputs.
Level listings
Vertical levels: Surface, 50m,100m, 250m, 500m, 750m, 1000m, 2000m, 3000m, 5000m
Note |
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100m and 750m were added up from VRA2020 and IRA2022. |
Product listings
The following species could be considered experimental and without assessment and to be used with caution:
- SIA
- PANs
- NMVOC
- PM10_WF
- PM25_tot
- PM25_res
- NH3
- PM10 DUST
The land-sea mask field used to produce the regional air quality data is attached here below, already interpolated to a regular lat/lon grid of 0.1°x0.1°:
name | units |
---|---|
land-sea mask (netCDF4) | (0-1) |
Table 3: List of parameters
Variable Name | NetCDF Units | Variable name in ADS | Note |
---|---|---|---|
Ammonia | µg m-3 | ammonia | |
Carbon monoxide | µg m-3 | carbon_monoxide | |
PM 10 Dust fraction | µg m-3 | dust | Dust is fraction in PM10 |
Formaldehyde | µg m-3 | formaldehyde | available from IRA 2023 and VRA2021 |
Glyoxal | µg m-3 | glyoxal | available from IRA 2023 and VRA2021 |
Nitrogen dioxide | µg m-3 | nitrogen_dioxide | |
Nitrogen monoxide | µg m-3 | nitrogen_monoxide | |
Non-methane volatile compounds (VOCs) | µg m-3 | non_methane_vocs | |
Ozone | µg m-3 | ozone | |
Particulate matter d < 10 µm (PM10) | µg m-3 | particulate_matter_10um | |
Particulate matter d < 10 µm, wildfires only (PM10_WF) | µg m-3 | pm10_wildfires | available from IRA 2021 and VRA2019 |
Particulate matter d < 2.5 µm (PM2.5) | µg m-3 | particulate_matter_2.5um | |
Particulate matter d < 2.5 µm, anthropogenic total carbon (PM2.5_tot) | µg m-3 | pm2.5_anthropogenic_total_carbon | available from IRA2022 and VRA2020 |
Particulate matter d < 2.5 µm, anthropogenic residential carbon only (PM2.5_res) | µg m-3 | pm2.5_anthropogenic_residential_carbon | available from IRA2022 and VRA2020 |
Peroxyacyl nitrates (PANs) | µg m-3 | peroxyacyl_nitrates | |
PM 2.5 Secondary inorganic aerosol (SIA) | µg m-3 | secondary_inorganic_aerosol | |
Sulphur dioxide | µg m-3 | sulphur_dioxide |
In Situ Observations
In situ observations used as input into the CAMS regional services to constrain the regional forecast models. In situ observations are also used in the evaluation and quality assurance (EQA) of all CAMS products.
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Validation reports
Validation Reports for the CAMS reanalysis can be found on the CAMS Quality Assurance website .
How to acknowledge, cite and refer to the data
All users of data uploaded on the Atmosphere Data Store (ADS) must provide clear and visible attribution to the Copernicus programme and are asked to cite and reference the dataset provider.
(1) Acknowledge according to the licence to use Copernicus Products.
(2) Cite each dataset used:
Expand title For ENSEMBLE Institut national de l'environnement industriel et des risques (Ineris), Aarhus University, Norwegian Meteorological Institute (MET Norway), Jülich Institut für Energie- und Klimaforschung (IEK), Institute of Environmental Protection – National Research Institute (IEP-NRI), Koninklijk Nederlands Meteorologisch Instituut (KNMI), METEO FRANCE, Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek (TNO), Swedish Meteorological and Hydrological Institute (SMHI), Finnish Meteorological Institute (FMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA) and Barcelona Supercomputing Center (BSC) (2022): CAMS European air quality forecasts, ENSEMBLE data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). (Accessed on <DD-MMM-YYYY>), https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses?tab=overview
Expand title For CHIMERE Institut
Validation reports
Validation Reports for the CAMS reanalysis will be available soon.
How to acknowledge, cite and refer to the data
All users of data uploaded on the Atmosphere Data Store (ADS) must provide clear and visible attribution to the Copernicus programme and are asked to cite and reference the dataset provider.
(1) Acknowledge according to the licence to use Copernicus Products.
(2) Cite each dataset used:
Expand title For ENSEMBLE METEO FRANCE, Institut national de l'environnement industriel et des risques (Ineris) , Aarhus University, Norwegian Meteorological Institute (MET Norway), Jülich Institut für Energie- und Klimaforschung (IEK), Institute of Environmental Protection – National Research Institute (IEP-NRI), Koninklijk Nederlands Meteorologisch Instituut (KNMI), Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek (TNO), (2020): CAMS European air quality forecasts, CHIMERE model data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). (Accessed on <DD-MMM-YYYY>), https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses?tab=overview
Expand title For DEHM Aarhus University (Swedish Meteorological and Hydrological Institute (SMHI) and Finnish Meteorological Institute (FMI) (2020): CAMS European air quality forecasts, ENSEMBLE DEHM model data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). (Accessed on <DD-MMM-YYYY>), https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses?tab=overview
Expand title For CHIMEREEMEP Norwegian Meteorological Institute (MET NorwayInstitut national de l'environnement industriel et des risques (Ineris) (2020): CAMS European air quality forecasts, CHIMERE EMEP model data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). (Accessed on <DD-MMM-YYYY>), https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses?tab=overview
Expand title For DEHMEURAD-IM Jülich Institut für Energie- und Klimaforschung (IEK) Aarhus University (2020): CAMS European air quality forecasts, DEHM EURAD-IM model data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). (Accessed on <DD-MMM-YYYY>), https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses?tab=overview
Expand title For EMEPGEM-AQ Institute of Environmental Protection – National Research Institute (IEP-NRINorwegian Meteorological Institute (MET Norway) (2020): CAMS European air quality forecasts, EMEP GEM-AQ model data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). (Accessed on <DD-MMM-YYYY>), https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses?tab=overview
Expand title For EURADLOTOS-IMEUROS Koninklijk Nederlands Meteorologisch Instituut (KNMI) and Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek (TNOJülich Institut für Energie- und Klimaforschung (IEK) (2020): CAMS European air quality forecasts, EURADLOTOS-IM EUROS model data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). (Accessed on <DD-MMM-YYYY>), https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses?tab=overview
Expand title For GEM-AQMATCH Swedish Meteorological and Hydrological Institute (SMHIInstitute of Environmental Protection – National Research Institute (IEP-NRI) (2020): CAMS European air quality forecasts, GEM-AQ MATCH model data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). (Accessed on <DD-MMM-YYYY>), https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses?tab=overview
Expand title For LOTOS-EUROSMOCAGE METEO-FRANCE Koninklijk Nederlands Meteorologisch Instituut (KNMI) and Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek (TNO) (2020): CAMS European air quality forecasts, LOTOS-EUROS MOCAGE model data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). (Accessed on <DD-MMM-YYYY>), https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses?tab=overview
Expand title For MATCHSILAM Swedish Finnish Meteorological and Hydrological Institute (SMHIFMI) (2020): CAMS European air quality forecasts, MATCH SILAM model data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). (Accessed on <DD-MMM-YYYY>), https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses?tab=overview
Expand title For MOCAGEMONARCH Barcelona Supercomputing Center (BSC) (2022METEO-FRANCE (2020): CAMS European air quality forecasts, MOCAGE MONARCH model data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). (Accessed on <DD-MMM-YYYY>), https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses?tab=overview
Expand title For SILAMMINNI Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA) (2022) Finnish Meteorological Institute (FMI) (2020): CAMS European air quality forecasts, SILAM MINNI model data. Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (ADS). (Accessed on <DD-MMM-YYYY>), https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-reanalyses?tab=overview
(3) Throughout the content of your publication, the dataset used is referred to as Author (YYYY) e.g. for Ensemble data: INERIS et. al (2020)
References
- A regional air quality forecasting system over Europe: the MACC-II daily ensemble production.(11 Mar 2015)
- Regional Production, Updated documentation covering all Regional operational systems and the ENSEMBLE (01-2021) document
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This document has been produced in the context of theCopernicus Atmosphere Monitoring Service (CAMS). The activities leading to these results have been contracted by the European Centre for Medium-Range Weather Forecasts, operator of CAMS on behalf of the European Union (Delegation Agreement signed on 11/11/2014 and Contribution Agreement signed on 22/07/2021). All information in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose. The users thereof use the information at their sole risk and liability. For the avoidance of all doubt , the European Commission and the European Centre for Medium - Range Weather Forecasts have no liability in respect of this document, which is merely representing the author's view. |
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