Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 3
Articles | Volume 18, issue 3
https://doi.org/10.5194/amt-18-773-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-773-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 3
Research article
 | 
13 Feb 2025
Research article |  | 13 Feb 2025

Retrieving cloud-base height and geometric thickness using the oxygen A-band channel of GCOM-C/SGLI

Takashi M. Nagao, Kentaroh Suzuki, and Makoto Kuji

Supplement

https://doi.org/10.5194/amt-18-773-2025-supplement

Data sets

GHRSST Level 4 MUR 0.25 deg Global Foundation Sea Surface Temperature Analysis, Ver. 4.2 JPL MUR MEaSUREs Project https://doi.org/10.5067/GHM25-4FJ42

ASTER Global Digital Elevation Model NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team https://doi.org/10.5067/ASTER/ASTGTM.002

GCOM-C/SGLI L2 TOA radiance (1km) Japan Aerospace Exploration Agency https://doi.org/10.57746/EO.01gs73b3hbsz0m797kkpskgn2d

GCOM-C/SGLI L2 Cloud flag Classification (1km) Japan Aerospace Exploration Agency https://doi.org/10.57746/EO.01gs73b3a5wggdxqa0f3wc93zr

GCOM-C/SGLI L2 Cloud properties Japan Aerospace Exploration Agency https://doi.org/10.57746/EO.01gs73b3c7kj640ss6zrvc74r3

GCOM-C/SGLI L2 Statistics-Land Surface Reflectance(RV09) (1-Month,250m) Japan Aerospace Exploration Agency https://doi.org/10.57746/EO.01gs73b5q4e3vrtqbtk92n6k0m

GSMaP(Hourly) Japan Aerospace Exploration Agency https://doi.org/10.57746/EO.01gs73bkt358gfpy92y2qns5e9

MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/QBZ6MG944HW0

MERRA-2 inst1_2d_asm_Nx: 2d,1-Hourly,Instantaneous,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/3Z173KIE2TPD

EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from a network covering most of Europe with additional sites worldwide EUMETNET http://catalogue.ceda.ac.uk/uuid/345c47d378b64c75b7957aef0c09c81f/

2B-CLDCLASS-LIDAR CloudSat Data Processing Center https://www.cloudsat.cira.colostate.edu/data-products/2b-cldclass-lidar

MOD06-1KM-AUX CloudSat Data Processing Center https://www.cloudsat.cira.colostate.edu/data-products/mod06-1km-aux

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Short summary
In satellite remote sensing, estimating cloud-base height (CBH) is more challenging than estimating cloud-top height because the cloud base is obscured by the cloud itself. We developed an algorithm using the specific channel (known as the oxygen A-band channel) of the SGLI on JAXA’s GCOM-C satellite to estimate CBHs together with other cloud properties. This algorithm can provide global distributions of CBH across various cloud types, including liquid, ice, and mixed-phase clouds.
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