Articles | Volume 11, issue 2
https://doi.org/10.5194/amt-11-1159-2018
https://doi.org/10.5194/amt-11-1159-2018
Research article
 | 
28 Feb 2018
Research article |  | 28 Feb 2018

Information content analysis: the potential for methane isotopologue retrieval from GOSAT-2

Edward Malina, Yukio Yoshida, Tsuneo Matsunaga, and Jan-Peter Muller

Viewed

Total article views: 3,028 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,092 870 66 3,028 74 78
  • HTML: 2,092
  • PDF: 870
  • XML: 66
  • Total: 3,028
  • BibTeX: 74
  • EndNote: 78
Views and downloads (calculated since 15 Aug 2017)
Cumulative views and downloads (calculated since 15 Aug 2017)

Viewed (geographical distribution)

Total article views: 3,028 (including HTML, PDF, and XML) Thereof 2,851 with geography defined and 177 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 27 Mar 2024
Download
Short summary
We present an assessment of the predicted information content and retrieval errors for 13CH4 retrieval from the planned GOSAT-2 satellite, assuming a wide range of land surface conditions. Retrieval of this quantity may allow for estimation of methane source types (e.g. biological or non-biological) based on the δ13C metric. We conclude that GOSAT-2 can be used for this purpose (to an accuracy of 10 ‰) assuming sufficient spatial (regional) and temporal (at least monthly) averaging.