Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 10
Articles | Volume 14, issue 10
https://doi.org/10.5194/amt-14-6483-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-6483-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 10
Research article
 | 
08 Oct 2021
Research article |  | 08 Oct 2021

GFIT3: a full physics retrieval algorithm for remote sensing of greenhouse gases in the presence of aerosols

Zhao-Cheng Zeng, Vijay Natraj, Feng Xu, Sihe Chen, Fang-Ying Gong, Thomas J. Pongetti, Keeyoon Sung, Geoffrey Toon, Stanley P. Sander, and Yuk L. Yung

Viewed

Total article views: 2,784 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,774 934 76 2,784 71 61
  • HTML: 1,774
  • PDF: 934
  • XML: 76
  • Total: 2,784
  • BibTeX: 71
  • EndNote: 61
Views and downloads (calculated since 19 Mar 2021)
Cumulative views and downloads (calculated since 19 Mar 2021)

Viewed (geographical distribution)

Total article views: 2,784 (including HTML, PDF, and XML) Thereof 2,674 with geography defined and 110 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 Nov 2024
Download
Short summary
Large carbon source regions such as megacities are also typically associated with heavy aerosol loading, which introduces uncertainties in the retrieval of greenhouse gases from reflected and scattered sunlight measurements. In this study, we developed a full physics algorithm to retrieve greenhouse gases in the presence of aerosols and demonstrated its performance by retrieving CO2 and CH4 columns from remote sensing measurements in the Los Angeles megacity.
Read more