Downscaling of air pollutants in Europe using uEMEP_v6

Mu, Qing; Denby, Bruce Rolstad; Wærsted, Eivind Grøtting; Fagerli, Hilde

doi:https://doi.org/10.5194/gmd-15-449-2022

Articles | Volume 15, issue 2

https://doi.org/10.5194/gmd-15-449-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Air quality research at street level (ACP/GMD inter-journal...

https://doi.org/10.5194/gmd-15-449-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 2

Development and technical paper

|

19 Jan 2022

Development and technical paper |

| 19 Jan 2022

Downscaling of air pollutants in Europe using uEMEP_v6

Qing Mu, Bruce Rolstad Denby, Eivind Grøtting Wærsted, and Hilde Fagerli

Supplement

https://doi.org/10.5194/gmd-15-449-2022-supplement

Model code and software

metno/uEMEP: uEMEPv6 Bruce Rolstad Denby https://doi.org/10.5281/zenodo.4923185

uEMEP matlab plotting scripts for visualisation of European uEMEP calculations Bruce Rolstad Denby https://doi.org/10.5281/zenodo.4923224

EMEP model configuration file for the study "Downscaling of air pollutants in Europe using uEMEP_v6" Qing Mu https://doi.org/10.5281/zenodo.5648145

metno/uEMEP Norwegian Meteorological Institute (MET Norway) https://github.com/metno/uEMEP

metno/emepctm Norwegian Meteorological Institute (MET Norway) https://github.com/metno/emep-ctm

Short summary

Our study has achieved air quality modelling down to 100 m for all of Europe. This solves the current problem that street-level air quality modelling is usually limited to individual cities. With publicly available downscaling proxy data, even regions without their own high-resolution proxy data can obtain air quality maps at 100 m. The work is of significance for air quality mitigation strategies and human health exposure studies.