10 May 2023
 | 10 May 2023
Status: this preprint is currently under review for the journal AMT.

The First Results of Cloud Retrieval from Geostationary Environmental Monitoring Spectrometer

Bo-Ram Kim, Gyuyeon Kim, Minjeong Cho, Yong-Sang Choi, and Jhoon Kim

Abstract. This research introduces the cloud retrieval algorithm for Geostationary Environmental Monitoring Spectrometer (GEMS), the first geostationary orbit satellite, and shows the validation of its cloud products through comparison with other satellites: OMI, TROPOMI, AMI, and CALIOP. The purpose of GEMS cloud products is to correct the impact of clouds on atmospheric components retrieval, which use the O2-O2 absorption band to retrieve the effective cloud fraction (ECF) and cloud centroid pressure (CCP). The GEMS cloud retrieval algorithm showed similar cloud retrieval performance to OMI. We analyzed the cloud retrieval characteristics for cases of air pollution, typhoons, and fog in the East Asia region to evaluate whether GEMS cloud products can represent various cloud features. The present cloud validation results would initiate to improve the GEMS cloud retrieval algorithm in the future.

Bo-Ram Kim et al.

Status: open (until 05 Jul 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Bo-Ram Kim et al.

Bo-Ram Kim et al.


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Short summary
This study introduces the GEMS cloud algorithm and validates its results using data from GEMS and other environmental satellites. The GEMS algorithm is able to detect cloud heights the lowest among the four satellites, and its effective cloud fraction and cloud centroid pressure are well reflected in the retrieval results. The study highlights the algorithm's usefulness in correcting errors in trace gases caused by cloud in the East Asian region.