EURAD-IM air quality analysis for four emission scenarios and related mortality data (ICPSR doi:10.26165/JUELICH-DATA/4DP2G2)

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EURAD-IM air quality analysis for four emission scenarios and related mortality data

doi:10.26165/JUELICH-DATA/4DP2G2

Jülich DATA

2024-12-06

1

Franke, Philipp; Lange, Anne Caroline; Steffens, Brendan; Pozzer, Andrea; Wahner, Andreas; Kiendler-Scharr, Astrid, 2024, "EURAD-IM air quality analysis for four emission scenarios and related mortality data", https://doi.org/10.26165/JUELICH-DATA/4DP2G2, Jülich DATA, V1

EURAD-IM air quality analysis for four emission scenarios and related mortality data

doi:10.26165/JUELICH-DATA/4DP2G2

Franke, Philipp (Forschungszentrum Jülich)

Lange, Anne Caroline (Forschungszentrum Jülich)

Steffens, Brendan (Max Planck Institute for Chemistry)

Pozzer, Andrea (Max Planck Institute for Chemistry and The Cyprus Institute)

Wahner, Andreas (Forschungszentrum Jülich)

Kiendler-Scharr, Astrid (Forschungszentrum Jülich)

Jülich DATA

Franke, Philipp

Franke, Philipp

2023-10-27

Earth and Environmental Sciences, Air pollution, Emission scenario, EURAD-IM, WHO air quality guidelines, Air quality, Europe

Daily mean concentrations for EURAD-IM simulations using four different scenarios of anthropogenic emissions are provided for PM2.5, PM10, NO2, O3, and 7 speciated aerosols for the year 2016 in Europe. In addition, the mortality due to air pollution for each emission scenario and associated population data is provided. The emission scenarios use updated emissions based on CAMS-REG-AP V3.1 (https://eccad.aeris-data.fr/) and anthropogenic emissions within Germany from the German Environment Agency (Umweltbundesamt), submission 2019 V2. They simulate standard emissions without changes ("baseemis" dataset), emission reductions committed by the European Union member states ("euemis"), additional reductions aiming to reduce high PM2.5 concentrations ("eu30"), and eliminating all anthropogenic emissions ("zeroemis"). The dataset is core of the manuscript "European air quality in view of the WHO 2021 guideline levels: Effect of emission reductions on air pollution exposure" published in Elementa (doi: https://doi.org/10.1525/elementa.2023.00127). Population data is taken from the Global Burden of Desease (GBD, GBD 2019 Risk Factors Collaborators, 2020) in conjuction with populatoin distribution data from the NASA Socioeconomic Data and Applications Center (SEDAC, Center for International Earth Science Information Network, 2016).

CC0 Waiver

https://doi.org/10.5281/zenodo.10046058

Franke, P., Lange, A. C., Steffens, B., Pozzer, A., Wahner, A., & Kiendler-Scharr, A. (2023). EURAD-IM air quality analysis for four emission scenarios and related mortality data. [Data set]. Zenodo.

https://doi.org/10.17815/jlsrf-7-182

Thörnig, P. 2021. JURECA: Data centric and booster modules implementing the modular supercomputing architecture at Jülich Supercomputing Centre. Journal of large-scale Research Facilities 7: A182.

https://doi.org/10.7927/H4X63JVC

Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. Gridded Population of the World, Version 4 (GPWv4): Population Count [Internet]. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). Accessed 29 September 2023

https://doi.org/10.1016/S0140-6736(20)30752-2

GBD 2019 Risk Factors Collaborators. 2020. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease study 2019. The Lancet 396(10258): 1223–1249.

https://doi.org/10.1525/elementa.2023.00127

Franke, P, Lange, AC, Steffens, B, Pozzer, A, Wahner, A, Kiendler-Scharr, A. 2024. European air quality in view of the WHO 2021 guideline levels: Effect of emission reductions on air pollution exposure. Elementa, 12: 1.