Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 14
Articles | Volume 18, issue 14
https://doi.org/10.5194/amt-18-3533-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-3533-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 14
Research article
 | 
29 Jul 2025
Research article |  | 29 Jul 2025

Propagating information content: an example with advection

David D. Turner, Maria P. Cadeddu, Julia M. Simonson, and Timothy J. Wagner

Viewed

Total article views: 1,243 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,004 175 64 1,243 59 82
  • HTML: 1,004
  • PDF: 175
  • XML: 64
  • Total: 1,243
  • BibTeX: 59
  • EndNote: 82
Views and downloads (calculated since 22 Jan 2025)
Cumulative views and downloads (calculated since 22 Jan 2025)

Viewed (geographical distribution)

Total article views: 1,243 (including HTML, PDF, and XML) Thereof 1,227 with geography defined and 16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jan 2026
Download
Short summary
When deriving a geophysical variable from remote sensors, the uncertainty and information content are critical. The latter quantify specifies what fraction of a real perturbation would be observed in the derived variable. This paper outlines, for the first time, a methodology for propagating the information content from multiple remote sensors into a derived product using horizontal advection as an example.
Read more
Share