Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 22
Articles | Volume 15, issue 22
https://doi.org/10.5194/amt-15-6723-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-6723-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 22
Research article
 | 
22 Nov 2022
Research article |  | 22 Nov 2022

Synergistic retrieval and complete data fusion methods applied to simulated FORUM and IASI-NG measurements

Marco Ridolfi, Cecilia Tirelli, Simone Ceccherini, Claudio Belotti, Ugo Cortesi, and Luca Palchetti

Viewed

Total article views: 1,454 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,055 345 54 1,454 55 45 37
  • HTML: 1,055
  • PDF: 345
  • XML: 54
  • Total: 1,454
  • Supplement: 55
  • BibTeX: 45
  • EndNote: 37
Views and downloads (calculated since 08 Jun 2022)
Cumulative views and downloads (calculated since 08 Jun 2022)

Viewed (geographical distribution)

Total article views: 1,454 (including HTML, PDF, and XML) Thereof 1,413 with geography defined and 41 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2024
Download
Short summary
Synergistic retrieval (SR) and complete data fusion (CDF) methods exploit the complementarity of coinciding remote-sensing measurements. We assess the performance of the SR and CDF methods on the basis of synthetic measurements of the FORUM and IASI-NG missions. In the case of perfectly matching measurements, SR and CDF results differ by less than 1 / 10 of the error due to measurement noise. In the case of a realistic mismatch, the two methods show differences in the order of their error bars.
Read more