Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 17
Articles | Volume 17, issue 17
https://doi.org/10.5194/amt-17-5221-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-17-5221-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 17
Research article
 | 
06 Sep 2024
Research article |  | 06 Sep 2024

Improved mean field estimates from the Geostationary Environment Monitoring Spectrometer (GEMS) Level-3 aerosol optical depth (L3 AOD) product: using spatiotemporal variability

Sooyon Kim, Yeseul Cho, Hanjeong Ki, Seyoung Park, Dagun Oh, Seungjun Lee, Yeonghye Cho, Jhoon Kim, Wonjin Lee, Jaewoo Park, Ick Hoon Jin, and Sangwook Kang

Viewed

Total article views: 1,473 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,163 237 73 1,473 58 77
  • HTML: 1,163
  • PDF: 237
  • XML: 73
  • Total: 1,473
  • BibTeX: 58
  • EndNote: 77
Views and downloads (calculated since 15 Mar 2024)
Cumulative views and downloads (calculated since 15 Mar 2024)

Viewed (geographical distribution)

Total article views: 1,473 (including HTML, PDF, and XML) Thereof 1,473 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Oct 2025
Download
Short summary
This paper describes new work that improves the processing of GEMS AOD data. First, we enhance the inverse-distance-weighting algorithm by incorporating quality flag information, assigning weights that are inversely proportional to the number of unreliable grids. Second, we leverage a spatiotemporal merging method to address both spatial and temporal variability. Finally, we estimate the mean field values for GEMS AOD data, enhancing our understanding of the impact of aerosols on climate change.
Read more
Share
Special issue
GEMS: first year in operation (AMT/ACP inter-journal SI)