HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module

Guevara, Marc; Tena, Carles; Porquet, Manuel; Jorba, Oriol; Pérez García-Pando, Carlos

doi:https://doi.org/10.5194/gmd-12-1885-2019

Articles | Volume 12, issue 5

https://doi.org/10.5194/gmd-12-1885-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-12-1885-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 5

Model description paper

|

14 May 2019

Model description paper |

| 14 May 2019

HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module

Marc Guevara, Carles Tena, Manuel Porquet, Oriol Jorba, and Carlos Pérez García-Pando

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Final revised paper (published on 14 May 2019)
Preprint (discussion started on 07 Jan 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Reviewon HERMESv3', Anonymous Referee #1, 05 Feb 2019
SC1: 'Hermes year and time scale', Agustin Garcia-Reynoso, 04 Mar 2019
RC2: 'Review: gmd-2018-324', Anonymous Referee #2, 15 Mar 2019
AC1: 'Reply to referee and short comments', Marc Guevara, 10 Apr 2019

Peer-review completion

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

AR by Marc Guevara on behalf of the Authors (10 Apr 2019) Author's response Manuscript

ED: Publish as is (23 Apr 2019) by Augustin Colette

Short summary

Atmospheric emission inventories, which describe the amounts of pollutants released into the air by different sources and for specific regions, are an essential input to numerical models that estimate air quality. This work presents the High-Elective Resolution Modelling Emission System version 3 (HERMESv3), an open-source modelling framework that allows adapting existing global and regional emission inventories to the input requirements of air quality models in a flexible and transparent way.