Articles | Volume 16, issue 7
https://doi.org/10.5194/amt-16-1865-2023
https://doi.org/10.5194/amt-16-1865-2023
Research article
 | 
12 Apr 2023
Research article |  | 12 Apr 2023

Ground-based remote sensing of aerosol properties using high-resolution infrared emission and lidar observations in the High Arctic

Denghui Ji, Mathias Palm, Christoph Ritter, Philipp Richter, Xiaoyu Sun, Matthias Buschmann, and Justus Notholt

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-268', Anonymous Referee #2, 12 Dec 2022
  • RC2: 'Comment on amt-2022-268', Anonymous Referee #3, 20 Dec 2022
  • RC3: 'Comment on amt-2022-268', Anonymous Referee #1, 22 Dec 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Denghui Ji on behalf of the Authors (16 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (19 Mar 2023) by Alexander Kokhanovsky
AR by Denghui Ji on behalf of the Authors (21 Mar 2023)
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Short summary
To measuring aerosol components, a Fourier transform infrared spectrometer (FTIS) and a lidar are operated in Ny-Ålesund, Spitsbergen (78° N, 11° E). Using the FTIS, a retrieval algorithm is developed for dust, sea salt, black carbon, and sulfate. The distribution of aerosols or clouds is provided by lidar and used as an indicator for aerosol or cloud retrieval with the FTS. Thus, a two-instrument joint-observation scheme is designed and is used on the data measured from 2019 to the present.