Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 6
Articles | Volume 11, issue 6
https://doi.org/10.5194/amt-11-3595-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-3595-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 6
Research article
 | 
20 Jun 2018
Research article |  | 20 Jun 2018

Uncertainty analysis of total ozone derived from direct solar irradiance spectra in the presence of unknown spectral deviations

Anna Vaskuri, Petri Kärhä, Luca Egli, Julian Gröbner, and Erkki Ikonen

Viewed

Total article views: 3,139 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,103 944 92 3,139 92 94
  • HTML: 2,103
  • PDF: 944
  • XML: 92
  • Total: 3,139
  • BibTeX: 92
  • EndNote: 94
Views and downloads (calculated since 05 Feb 2018)
Cumulative views and downloads (calculated since 05 Feb 2018)

Viewed (geographical distribution)

Total article views: 3,139 (including HTML, PDF, and XML) Thereof 3,095 with geography defined and 44 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 21 Feb 2025
Download
Short summary
In this work, we introduce a Monte Carlo uncertainty analysis that takes into account possible systematic spectral deviations in the atmospheric full spectrum ozone retrieval method. Accounting for possible systematic spectral deviations in the spectral data is important since they produce larger total ozone column uncertainties than uncorrelated noise-like variations that traditional uncertainty estimations predict.
Read more
Share