Articles | Volume 15, issue 6
Atmos. Meas. Tech., 15, 1967–1982, 2022
https://doi.org/10.5194/amt-15-1967-2022

Special issue: SKYNET – the international network for aerosol, clouds,...

Atmos. Meas. Tech., 15, 1967–1982, 2022
https://doi.org/10.5194/amt-15-1967-2022
Research article
31 Mar 2022
Research article | 31 Mar 2022

Quality assessment of Second-generation Global Imager (SGLI)-observed cloud properties using SKYNET surface observation data

Pradeep Khatri et al.

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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-2021-418', Anonymous Referee #1, 02 Jan 2022
    • AC1: 'Reply on RC1', Pradeep Khatri, 10 Feb 2022
  • RC2: 'Comment on amt-2021-418', Anonymous Referee #2, 04 Jan 2022
    • AC2: 'Reply on RC2', Pradeep Khatri, 10 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Pradeep Khatri on behalf of the Authors (10 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (14 Feb 2022) by Teruyuki Nakajima
RR by Anonymous Referee #1 (14 Feb 2022)
RR by Anonymous Referee #2 (21 Feb 2022)
ED: Publish subject to technical corrections (21 Feb 2022) by Teruyuki Nakajima
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Short summary
Cloud properties observed by the Second-generation Global Imager (SGLI) onboard the Global Change Observation Mission – Climate (GCOM-C) satellite are evaluated using surface observation data. The study finds that SGLI-observed cloud properties are qualitative enough, although water cloud properties are suggested to be more qualitative, and both water and ice cloud properties can reproduce surface irradiance quite satisfactorily. Thus, SGLI cloud products are very useful for different studies.