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ACP | Articles | Volume 19, issue 18
Atmos. Chem. Phys., 19, 11743–11764, 2019
https://doi.org/10.5194/acp-19-11743-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: EARLINET aerosol profiling: contributions to atmospheric and...

Atmos. Chem. Phys., 19, 11743–11764, 2019
https://doi.org/10.5194/acp-19-11743-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 23 Sep 2019

Research article | 23 Sep 2019

EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product

Emmanouil Proestakis et al.

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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 Emmanouil Proestakis on behalf of the Authors (13 Jun 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (24 Jun 2019) by Eduardo Landulfo
RR by Anonymous Referee #3 (02 Jul 2019)
RR by Anonymous Referee #1 (12 Jul 2019)
ED: Publish subject to minor revisions (review by editor) (22 Jul 2019) by Eduardo Landulfo
AR by Emmanouil Proestakis on behalf of the Authors (01 Aug 2019)  Author's response    Manuscript
ED: Publish as is (14 Aug 2019) by Eduardo Landulfo
AR by Emmanouil Proestakis on behalf of the Authors (27 Aug 2019)  Author's response    Manuscript
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Short summary
To increase accuracy and validate satellite-based products, comparison with ground-based reference observations is required. To do this, we present evaluation activity of EARLINET for the qualitative and quantitative assessment of NASA's CATS lidar operating aboard the International Space Station (ISS) while identified discrepancies are discussed. Better understanding CATS performance and limitations provides a valuable basis for scientific studies implementing the satellite-based lidar system.
To increase accuracy and validate satellite-based products, comparison with ground-based...
Citation