Improving the spatial resolution of air-quality modelling at a European scale – development and evaluation of the Air Quality Re-gridder Model (AQR v1.1)

Theobald, Mark R.; Simpson, David; Vieno, Massimo

doi:https://doi.org/10.5194/gmd-9-4475-2016

Articles | Volume 9, issue 12

https://doi.org/10.5194/gmd-9-4475-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-9-4475-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 12

Development and technical paper

|

16 Dec 2016

Development and technical paper |

| 16 Dec 2016

Improving the spatial resolution of air-quality modelling at a European scale – development and evaluation of the Air Quality Re-gridder Model (AQR v1.1)

Mark R. Theobald, David Simpson, and Massimo Vieno

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Final revised paper (published on 16 Dec 2016)
Supplement to the final revised paper
Preprint (discussion started on 11 Jul 2016)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

SC1: 'Executive Editor Comment on "A sub-grid model for improving the spatial resolution of air quality modelling at a European scale"', Astrid Kerkweg, 20 Jul 2016
- AC1: 'Response to SC1', Mark Theobald, 20 Jul 2016
RC1: 'Referee Comments', Anonymous Referee #1, 12 Aug 2016
RC2: 'Referee comment', Anonymous Referee #2, 23 Aug 2016
AC2: 'Authors’ response to the comments by Anonymous Referees #1 and #2', Mark Theobald, 31 Aug 2016
AC3: 'Updated authors’ response to the comments by Anonymous Referees #1 and #2 and revised manuscript', Mark Theobald, 25 Oct 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Mark Theobald on behalf of the Authors (25 Oct 2016) Author's response Manuscript

ED: Publish as is (08 Nov 2016) by Augustin Colette

AR by Mark Theobald on behalf of the Authors (14 Nov 2016)

Short summary

Impacts of air pollution at a continental scale, estimated using air quality models, can potentially be greatly under- or overestimated due to the low spatial resolution used (grid cells of 10–50 km). We present a method to estimate the spatial variations in air quality within a model grid cell by combining high-resolution emission data with estimates of short range dispersion. This simple but robust technique has the potential to improve estimates of air quality impacts at a continental scale.