Articles | Volume 14, issue 3
https://doi.org/10.5194/amt-14-2575-2021
https://doi.org/10.5194/amt-14-2575-2021
Research article
 | 
01 Apr 2021
Research article |  | 01 Apr 2021

Synergy processing of diverse ground-based remote sensing and in situ data using the GRASP algorithm: applications to radiometer, lidar and radiosonde observations

Anton Lopatin, Oleg Dubovik, David Fuertes, Georgiy Stenchikov, Tatyana Lapyonok, Igor Veselovskii, Frank G. Wienhold, Illia Shevchenko, Qiaoyun Hu, and Sagar Parajuli

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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 Anton Lopatin on behalf of the Authors (28 Jan 2021)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (29 Jan 2021) by Daniel Perez-Ramirez
RR by Feng Xu (02 Feb 2021)
RR by Lorraine Remer (25 Feb 2021)
ED: Publish as is (27 Feb 2021) by Daniel Perez-Ramirez
AR by Anton Lopatin on behalf of the Authors (02 Mar 2021)  Manuscript 
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Short summary
The article presents novelties in characterizing fine particles suspended in the air by means of combining various measurements that observe light propagation in atmosphere. Several non-coincident observations (some of which require sunlight, while others work only at night) could be united under the assumption that aerosol properties do not change drastically at nighttime. It also proposes how to describe particles' composition in a simplified manner that uses new types of observations.