Articles | Volume 12, issue 1
Atmos. Meas. Tech., 12, 169–209, 2019
https://doi.org/10.5194/amt-12-169-2019
Atmos. Meas. Tech., 12, 169–209, 2019
https://doi.org/10.5194/amt-12-169-2019

Research article 11 Jan 2019

Research article | 11 Jan 2019

Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements

David M. Giles 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 David Giles on behalf of the Authors (08 Dec 2018)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (11 Dec 2018) by Vassilis Amiridis
AR by David Giles on behalf of the Authors (12 Dec 2018)  Author's response    Manuscript
ED: Publish as is (13 Dec 2018) by Vassilis Amiridis
AR by David Giles on behalf of the Authors (17 Dec 2018)  Author's response    Manuscript
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Short summary
Clouds or instrumental anomalies may perturb ground-based solar measurements used to calculate aerosol optical depth (AOD). This study presents a new algorithm of automated near-real-time (NRT) quality controls with improved cloud screening for AERONET AOD measurements. Results from the new and old algorithms have excellent agreement for the highest-quality AOD level, while the new algorithm provides higher-quality NRT AOD for applications such as data assimilation and satellite evaluation.