Preprints
https://doi.org/10.5194/gmd-2021-198
https://doi.org/10.5194/gmd-2021-198

Submitted as: development and technical paper 23 Jul 2021

Submitted as: development and technical paper | 23 Jul 2021

Review status: this preprint is currently under review for the journal GMD.

Downscaling of air pollutants in Europe using uEMEP_v6

Qing Mu, Bruce Rolstad Denby, Eivind Grøtting Wærsted, and Hilde Fagerli Qing Mu et al.
  • The Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0313, Oslo, Norway

Abstract. The air quality downscaling model uEMEP and its combination with the EMEP MSC-W chemical transport model are used here to achieve high-resolution air quality modeling at street level in Europe. By using publicly available proxy data, this uEMEP/EMEP modelling system is applied to calculate annual mean NO2, PM2.5, PM10 and O3 concentrations for all of Europe down to 100 m resolution and is validated against all available Airbase monitoring stations in Europe at 25 m resolution. Downscaling is carried out on annual mean concentrations, requiring special attention to non-linear processes, such as NO2 chemistry, where frequency distributions are applied to better represent the non-linear NO2 chemistry. The downscaling shows significant improvement in NO2 concentrations where spatial correlation has been doubled for most countries and bias reduced from −46 % to −18 % for all stations in Europe. The downscaling of PM2.5 and PM10 does not show improvement in spatial correlation but does reduce the overall bias in the European calculations from −21 % to −11 % and from −39 % to −30 % for PM2.5 and PM10 respectively. There is improved spatial correlation in most countries after downscaling of O3, and a reduced positive bias of O3 concentrations from +16 % to +11 %. Sensitivity tests in Norway show that improvements in the emission and emission proxy data used for the downscaling can significantly improve both the NO2 and PM results. The downscaling development opens the way for improved exposure estimates, improved assessment of emissions as well as detailed calculations of source contributions to exceedances in a consistent way for all of Europe at high resolution.

Qing Mu et al.

Status: open (extended)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-198', Anonymous Referee #1, 25 Aug 2021 reply

Qing Mu et al.

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Short summary
Our study has achieved air quality modeling down to 100 m for all over Europe. This solves the current problem that street-level air quality modeling is usually limited to individual cities. With publicly availablel 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 study.