Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 14
Articles | Volume 15, issue 14
https://doi.org/10.5194/amt-15-4407-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-4407-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 14
Peer-reviewed comment
 | 
29 Jul 2022
Peer-reviewed comment |  | 29 Jul 2022

Comment on “Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products” by Schneider et al. (2022)

Simone Ceccherini

Viewed

Total article views: 2,526 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,810 588 128 2,526 124 147
  • HTML: 1,810
  • PDF: 588
  • XML: 128
  • Total: 2,526
  • BibTeX: 124
  • EndNote: 147
Views and downloads (calculated since 26 Apr 2021)
Cumulative views and downloads (calculated since 26 Apr 2021)

Viewed (geographical distribution)

Total article views: 2,526 (including HTML, PDF, and XML) Thereof 2,412 with geography defined and 114 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Nov 2025
Download
Short summary
The equivalence between the data fusion performed using the Kalman filter and the Complete Data Fusion has been proved, and a generalization of the Complete Data Fusion formula, that is valid also in the case that the noise error covariance matrices of the fused products are singular, is derived. The two methods are also equivalent to the measurement–space–solution data fusion method, and for moderately nonlinear problems, the three methods are all equivalent to the simultaneous retrieval.
Read more
Share