Articles | Volume 13, issue 11
Atmos. Meas. Tech., 13, 5955–5975, 2020
https://doi.org/10.5194/amt-13-5955-2020
Atmos. Meas. Tech., 13, 5955–5975, 2020
https://doi.org/10.5194/amt-13-5955-2020

Research article 09 Nov 2020

Research article | 09 Nov 2020

Improving GOES Advanced Baseline Imager (ABI) aerosol optical depth (AOD) retrievals using an empirical bias correction algorithm

Hai Zhang 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 Hai Zhang on behalf of the Authors (02 Jun 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (04 Jun 2020) by Andrew Sayer
RR by Anonymous Referee #2 (09 Jun 2020)
RR by Anonymous Referee #3 (14 Jul 2020)
ED: Reconsider after major revisions (15 Jul 2020) by Andrew Sayer
AR by Svenja Lange on behalf of the Authors (11 Sep 2020)  Author's response
ED: Publish subject to minor revisions (review by editor) (15 Sep 2020) by Andrew Sayer
AR by Hai Zhang on behalf of the Authors (23 Sep 2020)  Author's response    Manuscript
ED: Publish as is (01 Oct 2020) by Andrew Sayer
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Short summary
Geostationary Operational Environmental Satellites (GOES) retrieve high temporal resolution aerosol optical depth, which is a measure of the aerosol quantity within the atmospheric column. This work introduces an algorithm that improves the accuracy of the aerosol optical depth retrievals from GOES. The resulting data product can be used in monitoring the air quality and climate change research.