Understanding processes that control dust spatial distributions with global climate models and satellite observations

Wu, Mingxuan; Liu, Xiaohong; Yu, Hongbin; Wang, Hailong; Shi, Yang; Yang, Kang; Darmenov, Anton; Wu, Chenglai; Wang, Zhien; Luo, Tao; Feng, Yan; Ke, Ziming

doi:https://doi.org/10.5194/acp-20-13835-2020

Articles | Volume 20, issue 22

https://doi.org/10.5194/acp-20-13835-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-20-13835-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 22

Research article

|

17 Nov 2020

Research article |

| 17 Nov 2020

Understanding processes that control dust spatial distributions with global climate models and satellite observations

Mingxuan Wu, Xiaohong Liu, Hongbin Yu, Hailong Wang, Yang Shi, Kang Yang, Anton Darmenov, Chenglai Wu, Zhien Wang, Tao Luo, Yan Feng, and Ziming Ke

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Final revised paper (published on 17 Nov 2020)
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Preprint (discussion started on 24 Apr 2020)
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Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of “Understanding Processes that Control Dust Spatial Distributions with Global Climate Models and Satellite Observations” by Mingxuan Wu et al.', Anonymous Referee #2, 21 May 2020
- AC2: 'Responses to Referee #1 comments', Mingxuan Wu, 26 Sep 2020
EC1: 'Evaluation of model simulated spatiotemporal variations of dust extinction profiles and dust optical depth (DOD)', Ashu Dastoor, 02 Sep 2020
- AC1: 'Responses to Editor comments', Mingxuan Wu, 26 Sep 2020

Peer-review completion

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

AR by Mingxuan Wu on behalf of the Authors (26 Sep 2020) Author's response Manuscript

ED: Publish as is (01 Oct 2020) by Ashu Dastoor

AR by Mingxuan Wu on behalf of the Authors (02 Oct 2020)

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Short summary

The spatiotemporal distributions of dust aerosol simulated by global climate models (GCMs) are highly uncertain. In this study, we evaluate dust extinction profiles, optical depth, and surface concentrations simulated in three GCMs and one reanalysis against multiple satellite retrievals and surface observations to gain process-level understanding. Our results highlight the importance of correctly representing dust emission, dry/wet deposition, and size distribution in GCMs.