Grid-independent high-resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (12.5.0)

Meng, Jun; Martin, Randall V.; Ginoux, Paul; Hammer, Melanie; Sulprizio, Melissa P.; Ridley, David A.; van Donkelaar, Aaron

doi:https://doi.org/10.5194/gmd-14-4249-2021

Articles | Volume 14, issue 7

https://doi.org/10.5194/gmd-14-4249-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-4249-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 7

Development and technical paper

|

06 Jul 2021

Development and technical paper |

| 06 Jul 2021

Grid-independent high-resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (12.5.0)

Jun Meng, Randall V. Martin, Paul Ginoux, Melanie Hammer, Melissa P. Sulprizio, David A. Ridley, and Aaron van Donkelaar

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Final revised paper (published on 06 Jul 2021)
Supplement to the final revised paper
Preprint (discussion started on 11 Dec 2020)
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

RC1: 'Comments on Meng et al. (gmd-2020-380)', Anonymous Referee #1, 08 Jan 2021
RC2: 'Review of "Grid-independent High Resolution Dust Emissions (v1.0) for Chemical Transport Models: Application to GEOS-Chem" by Meng et al.', Anonymous Referee #2, 14 Jan 2021
RC3: 'Grid-independent High Resolution Dust Emissions (v1.0) for Chemical Transport Models: Application to GEOS-Chem (version 12.5.0)', Anonymous Referee #3, 25 Jan 2021
RC4: 'Review of Grid-independent High Resolution Dust Emissions (v1.0) for Chemical Transport Models: Application to GEOS-Chem (version 12.5.0) by Meng et al.', Anonymous Referee #4, 29 Jan 2021
AC1: 'Response to reviewers' comments', Jun Meng, 03 Apr 2021

Peer-review completion

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

AR by Jun Meng on behalf of the Authors (05 Apr 2021) Author's response Author's tracked changes Manuscript

ED: Referee Nomination & Report Request started (17 Apr 2021) by Havala Pye

RR by Anonymous Referee #4 (02 May 2021)

RR by Anonymous Referee #1 (03 May 2021)

ED: Publish subject to minor revisions (review by editor) (11 May 2021) by Havala Pye

AR by Jun Meng on behalf of the Authors (24 May 2021) Author's response Author's tracked changes Manuscript

ED: Publish as is (10 Jun 2021) by Havala Pye

AR by Jun Meng on behalf of the Authors (11 Jun 2021) Manuscript

Short summary

Dust emissions in models, for example, GEOS-Chem, have a strong nonlinear dependence on meteorology, which means dust emission strengths calculated from different resolution meteorological fields are different. Offline high-resolution dust emissions with an optimized global dust strength, presented in this work, can be implemented into GEOS-Chem as offline emission inventory so that it could promote model development by harmonizing dust emissions across simulations of different resolutions.