Articles | Volume 15, issue 6
https://doi.org/10.5194/amt-15-1967-2022
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, Tadahiro Hayasaka, Hitoshi Irie, Husi Letu, Takashi Y. Nakajima, Hiroshi Ishimoto, and Tamio Takamura

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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 | EF: Editorial file upload
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
AR by Pradeep Khatri on behalf of the Authors (26 Feb 2022)  Manuscript 
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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.