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

Giles, David M.; Sinyuk, Alexander; Sorokin, Mikhail G.; Schafer, Joel S.; Smirnov, Alexander; Slutsker, Ilya; Eck, Thomas F.; Holben, Brent N.; Lewis, Jasper R.; Campbell, James R.; Welton, Ellsworth J.; Korkin, Sergey V.; Lyapustin, Alexei I.

doi:https://doi.org/10.5194/amt-12-169-2019

Articles | Volume 12, issue 1

https://doi.org/10.5194/amt-12-169-2019

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

https://doi.org/10.5194/amt-12-169-2019

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

Articles | Volume 12, issue 1

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, Alexander Sinyuk, Mikhail G. Sorokin, Joel S. Schafer, Alexander Smirnov, Ilya Slutsker, Thomas F. Eck, Brent N. Holben, Jasper R. Lewis, James R. Campbell, Ellsworth J. Welton, Sergey V. Korkin, and Alexei I. Lyapustin

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Final revised paper (published on 11 Jan 2019)
Preprint (discussion started on 10 Sep 2018)

Interactive discussion

Status: closed

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

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- Supplement

SC1: 'References missing', Emilio Cuevas, 16 Sep 2018
- AC1: 'Reply to Emilio Cuevas', David Giles, 21 Sep 2018
RC1: 'review', Anonymous Referee #2, 07 Nov 2018
- AC2: 'Response to Referee #2', David Giles, 08 Dec 2018
RC2: 'Review of the manuscript "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" by Giles e', Anonymous Referee #1, 13 Nov 2018
- AC3: 'Response to Referee #1', David Giles, 08 Dec 2018

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

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.