Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm

Chen, Cheng; Dubovik, Oleg; Henze, Daven K.; Lapyonak, Tatyana; Chin, Mian; Ducos, Fabrice; Litvinov, Pavel; Huang, Xin; Li, Lei

doi:https://doi.org/10.5194/acp-18-12551-2018

Articles | Volume 18, issue 16

https://doi.org/10.5194/acp-18-12551-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-18-12551-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 16

Research article

|

30 Aug 2018

Research article |

| 30 Aug 2018

Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm

Cheng Chen, Oleg Dubovik, Daven K. Henze, Tatyana Lapyonak, Mian Chin, Fabrice Ducos, Pavel Litvinov, Xin Huang, and Lei Li

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Final revised paper (published on 30 Aug 2018)
Preprint (discussion started on 07 Mar 2018)

Interactive discussion

Status: closed

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

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RC1: 'Referee Comment', Anonymous Referee #1, 23 Mar 2018
RC2: 'Referee comment', Anonymous Referee #2, 06 Apr 2018
AC1: 'Responses to Referee Comments', Cheng Chen, 11 Jun 2018

Peer-review completion

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

AR by Cheng Chen on behalf of the Authors (11 Jun 2018) Author's response Manuscript

ED: Publish as is (25 Jul 2018) by Yves Balkanski

Short summary

This paper introduces a method to use satellite-observed spectral AOD and AAOD to derive three types of aerosol emission sources simultaneously based on inverse modelling at a high spatial and temporal resolution. This study shows it is possible to estimate aerosol emissions and improve the atmospheric aerosol simulation using detailed aerosol optical and microphysical information from satellite observations.