The data set provides the EEA 1 km and 2 km grids combining the monitoring air quality data in a ‘regression-interpolation-merging mapping’ methodology and the observational values of the air quality monitoring stations used in the interpolation. The full data set covers Europe for the year 2016, and in particular for the pollutants PM10, PM2.5, O3, NO2 and NOx. This data set is used to estimate population and vegetation exposure to air pollution, as an input to the indicator CSI005 (Exposure of Europe's ecosystems to acidification, eutrophication and ozone) and for the health impact assessments published in the Air Quality in Europe reports. The methodology and the maps themselves can be found in the 2018 Eionet report "European air quality maps for 2016" at https://www.eionet.europa.eu/etcs/etc-atni/products/etc-atni-reports/etc-acm-report-2018-8-european-air-quality-maps-for-2016. The data set for download also includes the maps in TIFF format present in the reports.

The data set provides the EEA 1 km and 2 km grids combining the monitoring air quality data in a ‘regression-interpolation-merging mapping’ methodology and the observational values of the air quality monitoring stations used in the interpolation. The full data set covers Europe for the year 2016, and in particular for the pollutants PM10, PM2.5, O3, NO2 and NOx. This data set is used to estimate population and vegetation exposure to air pollution, as an input to the indicator CSI005 (Exposure of Europe's ecosystems to acidification, eutrophication and ozone) and for the health impact assessments published in the Air Quality in Europe reports. The methodology and the maps themselves can be found in the 2018 Eionet report "European air quality maps for 2016" at https://www.eionet.europa.eu/etcs/etc-atni/products/etc-atni-reports/etc-acm-report-2018-8-european-air-quality-maps-for-2016. The data set for download also includes the maps in TIFF format present in the reports.

The data set provides the EEA 1 km and 2 km grids combining the monitoring air quality data in a ‘regression-interpolation-merging mapping’ methodology and the observational values of the air quality monitoring stations used in the interpolation. It covers Europe for the year 2018. It provides estimates for human health related indicators of pollutants PM10 (annual average, 90.4 percentile of daily means), PM2.5 (annual average), ozone (93.2 percentile of maximum daily 8-hour means, SOMO35, SOMO10) and NO2 (annual average), and vegetation related ozone indicators (AOT40 for vegetation and for forests) for the year 2018. The data set contains also Phytotoxic ozone dose (POD) for wheat and potato and NOx annual average grids for 2018. The POD data set is presented for the first time. This data set is used to estimate population and vegetation exposure to air pollution, as an input to the indicator CSI005 (Exposure of Europe's ecosystems to ozone) and for the health impact assessments published in the Air Quality in Europe reports. The methodology and the corresponding maps can be found in the 2020 Eionet report "European air quality maps for 2018. PM10, PM2.5, Ozone, NO2 and NOx Spatial estimates and their uncertainties" (ETC/ATNI Report 10/20) available at https://www.eionet.europa.eu/etcs/etc-atni/products/etc-atni-reports/etc-atni-report-10-2020-european-air-quality-maps-for-2018-pm10-pm2-5-ozone-no2-and-nox-spatial-estimates-and-their-uncertainties-1. This data set includes the station values and the gridded interpolated values in Shapefile format and the interpolated values in OVR and GeoTIFF formats. It can also be downloaded in Spatialite-Rasterlite. For convenience, the data set also includes the maps in TIFF and PNG format included in the report.

The data set provides the EEA 1 km and 2 km grids combining the monitoring air quality data in a ‘regression-interpolation-merging mapping’ methodology and the observational values of the air quality monitoring stations used in the interpolation. It covers Europe for the year 2017 and for the pollutants PM10, PM2.5, O3, NO2 and NOx. It includes SOMO10, as a novelty from the 2016 data set. This data set is used to estimate population and vegetation exposure to air pollution, as an input to the indicator CSI005 (Exposure of Europe's ecosystems to acidification, eutrophication and ozone) and for the health impact assessments published in the Air Quality in Europe reports. The methodology and the maps themselves can be found in the 2019 Eionet report "European air quality maps for 2017" available at https://www.eionet.europa.eu/etcs/etc-atni/products/etc-atni-reports/etc-atni-report-9-2019-european-air-quality-maps-for-2017-pm10-pm2-5-ozone-no2-and-nox-spatial-estimates-and-their-uncertainties. The data set for download also includes the maps in TIFF and PNG format included in the reports.