Articles | Volume 16, issue 6
https://doi.org/10.5194/amt-16-1477-2023
https://doi.org/10.5194/amt-16-1477-2023
Research article
 | 
22 Mar 2023
Research article |  | 22 Mar 2023

Update on the GOSAT TANSO–FTS SWIR Level 2 retrieval algorithm

Yu Someya, Yukio Yoshida, Hirofumi Ohyama, Shohei Nomura, Akihide Kamei, Isamu Morino, Hitoshi Mukai, Tsuneo Matsunaga, Joshua L. Laughner, Voltaire A. Velazco, Benedikt Herkommer, Yao Té, Mahesh Kumar Sha, Rigel Kivi, Minqiang Zhou, Young Suk Oh, Nicholas M. Deutscher, and David W. T. Griffith

Viewed

Total article views: 1,678 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,250 380 48 1,678 124 38 28
  • HTML: 1,250
  • PDF: 380
  • XML: 48
  • Total: 1,678
  • Supplement: 124
  • BibTeX: 38
  • EndNote: 28
Views and downloads (calculated since 08 Nov 2022)
Cumulative views and downloads (calculated since 08 Nov 2022)

Viewed (geographical distribution)

Total article views: 1,678 (including HTML, PDF, and XML) Thereof 1,655 with geography defined and 23 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
Download
Short summary
The updated retrieval algorithm for the Greenhouse gases Observing SATellite level 2 product is presented. The main changes in the algorithm from the previous one are the treatment of cirrus clouds, the degradation model of the sensor, solar irradiance, and gas absorption coefficient tables. The retrieval results showed improvements in fitting accuracy and an increase in the data amount over land. On the other hand, there are still large biases of XCO2 which should be corrected over the ocean.