Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals

Shi, Yingxi R.; Levy, Robert C.; Eck, Thomas F.; Fisher, Brad; Mattoo, Shana; Remer, Lorraine A.; Slutsker, Ilya; Zhang, Jianglong

doi:https://doi.org/10.5194/acp-19-259-2019

Articles | Volume 19, issue 1

https://doi.org/10.5194/acp-19-259-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-19-259-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 1

Research article

|

08 Jan 2019

Research article |

| 08 Jan 2019

Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals

Yingxi R. Shi, Robert C. Levy, Thomas F. Eck, Brad Fisher, Shana Mattoo, Lorraine A. Remer, Ilya Slutsker, and Jianglong Zhang

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Final revised paper (published on 08 Jan 2019)
Preprint (discussion started on 20 Jun 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of “Characterizing the 2015 Indonesia Fire Event Using Modified MODIS Aerosol Retrievals” by Shi et al.', Anonymous Referee #1, 18 Jul 2018
- AC1: 'Reply to reviewer1', Yingxi Shi, 01 Nov 2018
RC2: 'Reviewer Comments', Anonymous Referee #2, 17 Sep 2018
- AC2: 'Reply to reviewer2', Yingxi Shi, 01 Nov 2018

Peer-review completion

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

AR by Yingxi Shi on behalf of the Authors (02 Nov 2018)

ED: Publish as is (14 Nov 2018) by Kostas Tsigaridis

AR by Yingxi Shi on behalf of the Authors (23 Nov 2018)

Short summary

The Indonesian fire and smoke event of 2015 was an extreme episode that affected public health and caused severe economic and environmental damage. We managed to retrieve data over very thick smoke plumes and produce a lot more high aerosol loading data that were previously missed by other satellite products. These results will benefit varieties of downstream research that use the satellite aerosol data and will influence the future development of the global satellite aerosol algorithm.