Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 11
Articles | Volume 17, issue 11
https://doi.org/10.5194/amt-17-3597-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-3597-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 11
Research article
 | 
13 Jun 2024
Research article |  | 13 Jun 2024

Stability requirements of satellites to detect long-term stratospheric ozone trends based upon Monte Carlo simulations

Mark Weber

Viewed

Total article views: 830 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
637 152 41 830 27 23
  • HTML: 637
  • PDF: 152
  • XML: 41
  • Total: 830
  • BibTeX: 27
  • EndNote: 23
Views and downloads (calculated since 08 Jan 2024)
Cumulative views and downloads (calculated since 08 Jan 2024)

Viewed (geographical distribution)

Total article views: 830 (including HTML, PDF, and XML) Thereof 765 with geography defined and 65 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
We investigate how stable the performance of a satellite instrument has to be to be useful for assessing long-term trends in stratospheric ozone. The stability of an instrument is specified in percent per decade and is also called instrument drift. Instrument drifts add to uncertainties of long-term trends. From simulated time series of ozone based on the Monte Carlo approach, we determine stability requirements that are needed to achieve the desired long-term trend uncertainty.
Read more