Articles | Volume 19, issue 10
Atmos. Chem. Phys., 19, 7183–7207, 2019
https://doi.org/10.5194/acp-19-7183-2019
Atmos. Chem. Phys., 19, 7183–7207, 2019
https://doi.org/10.5194/acp-19-7183-2019

Research article 29 May 2019

Research article | 29 May 2019

Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products

Jing Wei et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jing Wei on behalf of the Authors (29 Mar 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Apr 2019) by Stelios Kazadzis
RR by Anonymous Referee #2 (09 Apr 2019)
RR by Anonymous Referee #4 (25 Apr 2019)
ED: Reconsider after major revisions (25 Apr 2019) by Stelios Kazadzis
AR by Jing Wei on behalf of the Authors (28 Apr 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (30 Apr 2019) by Stelios Kazadzis
RR by Anonymous Referee #2 (09 May 2019)
ED: Publish subject to technical corrections (10 May 2019) by Stelios Kazadzis
AR by Jing Wei on behalf of the Authors (10 May 2019)  Author's response    Manuscript

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Jing Wei on behalf of the Authors (28 May 2019)   Author's adjustment   Manuscript
EA: Adjustments approved (28 May 2019) by Stelios Kazadzis
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Short summary
This study evaluates the suitability of 11 satellite-derived aerosol products in describing the spatio-temporal variations over the world. Our results show similar global patterns among these products but noticeable spatial heterogeneity and numerical differences over land regions. In general, MODIS products perform best at reflecting the spatial distributions and capturing the temporal trends of aerosol. This study help readers select a suitable aerosol dataset for their studies.
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