Articles | Volume 20, issue 15
https://doi.org/10.5194/acp-20-9281-2020
https://doi.org/10.5194/acp-20-9281-2020
Research article
 | 
06 Aug 2020
Research article |  | 06 Aug 2020

Assessment of natural and anthropogenic aerosol air pollution in the Middle East using MERRA-2, CAMS data assimilation products, and high-resolution WRF-Chem model simulations

Alexander Ukhov, Suleiman Mostamandi, Arlindo da Silva, Johannes Flemming, Yasser Alshehri, Illia Shevchenko, and Georgiy Stenchikov

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Alexander Ukhov on behalf of the Authors (18 May 2020)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (17 Jun 2020) by Yves Balkanski
AR by Alexander Ukhov on behalf of the Authors (22 Jun 2020)  Author's response   Manuscript 
ED: Publish as is (09 Jul 2020) by Yves Balkanski
AR by Alexander Ukhov on behalf of the Authors (12 Jul 2020)
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Short summary
The data assimilation products MERRA2 and CAMS are tested over the Middle East (ME) against in situ and satellite observations. For the first time, we compared the new MODIS aerosol optical depth (AOD) retrieval, MAIAC, with the Deep Blue and Dark Target MODIS AOD. We conducted 2-year high-resolution WRF-Chem simulations with the most accurate OMI-HTAP SO2 emissions to estimate the contribution of natural and anthropogenic aerosols to the PM pollution in the ME.
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