Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 6
Articles | Volume 15, issue 6
https://doi.org/10.5194/amt-15-1967-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-15-1967-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 6
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

Viewed

Total article views: 1,636 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,243 349 44 1,636 27 32
  • HTML: 1,243
  • PDF: 349
  • XML: 44
  • Total: 1,636
  • BibTeX: 27
  • EndNote: 32
Views and downloads (calculated since 13 Dec 2021)
Cumulative views and downloads (calculated since 13 Dec 2021)

Viewed (geographical distribution)

Total article views: 1,636 (including HTML, PDF, and XML) Thereof 1,604 with geography defined and 32 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Apr 2024
Download
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.
Read more
Special issue
SKYNET – the international network for aerosol, clouds,...