Preprints
https://doi.org/10.5194/amt-2023-136
https://doi.org/10.5194/amt-2023-136
04 Jul 2023
 | 04 Jul 2023
Status: a revised version of this preprint is currently under review for the journal AMT.

Retrieval Algorithm for Aerosol Effective Height from the Geostationary Environment Monitoring Spectrometer (GEMS)

Sang Seo Park, Jhoon Kim, Yeseul Cho, Hanlim Lee, Junsung Park, Dong-Won Lee, Won-Jin Lee, and Deok-Rae Kim

Abstract. An algorithm for aerosol effective height (AEH) was developed for operational use with observations from the Geostationary Environment Monitoring Spectrometer (GEMS). The retrieval technique uses the slant column density of the oxygen dimer (O2-O2) at 477 nm, which is converted into AEH after retrieval of aerosol and surface optical properties from GEMS operational algorithms. The AEH retrieval results show significant AEH values and continuously monitor aerosol vertical height information in severe dust plumes over East Asia, and the collection of plume height information for anthropogenic aerosol pollutants over India. Compared to the AEH retrieved from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the retrieval results show insignificant bias with a standard deviation of 1.4 km for the AEH difference over the GEMS observation domain from January to June 2021 due to uncertainty in input parameters for aerosol and surface. The AEH difference depends on aerosol optical properties and surface albedo. Compared to the aerosol layer height obtained from the tropospheric monitoring instrument (TROPOMI), differences of 0.78 ± 0.81 and 1.16 ± 0.92 km were obtained for pixels with single scattering albedo (SSA) < 0.90 and 0.90 < SSA < 0.95, respectively, with significant dependence on aerosol type.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Sang Seo Park, Jhoon Kim, Yeseul Cho, Hanlim Lee, Junsung Park, Dong-Won Lee, Won-Jin Lee, and Deok-Rae Kim

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-136', Anonymous Referee #1, 29 Jul 2023
    • AC1: 'Reply on RC1', Sang Seo Park, 16 Sep 2023
  • RC2: 'Comment on amt-2023-136', Anonymous Referee #2, 01 Aug 2023
    • AC2: 'Reply on RC2', Sang Seo Park, 16 Sep 2023
Sang Seo Park, Jhoon Kim, Yeseul Cho, Hanlim Lee, Junsung Park, Dong-Won Lee, Won-Jin Lee, and Deok-Rae Kim
Sang Seo Park, Jhoon Kim, Yeseul Cho, Hanlim Lee, Junsung Park, Dong-Won Lee, Won-Jin Lee, and Deok-Rae Kim

Viewed

Total article views: 990 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
713 237 40 990 41 48
  • HTML: 713
  • PDF: 237
  • XML: 40
  • Total: 990
  • BibTeX: 41
  • EndNote: 48
Views and downloads (calculated since 04 Jul 2023)
Cumulative views and downloads (calculated since 04 Jul 2023)

Viewed (geographical distribution)

Total article views: 948 (including HTML, PDF, and XML) Thereof 948 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Oct 2024
Download
Short summary
An AEH retrieval algorithm for GEMS operational product was developed that solely uses the O2-O2 absorption band with considering aerosol and surface properties. To ensure significant sensitivity of AEH retrieval, only AEH retrieval results with AOD larger than 0.3 were shown, and the retrieval results show significant estimations by comparing the aerosol height from CALIOP and aerosol layer height product from TROPOMI.