Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 23
Articles | Volume 15, issue 23
https://doi.org/10.5194/amt-15-6991-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-15-6991-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 23
Research article
 | 
06 Dec 2022
Research article |  | 06 Dec 2022

TUNER-compliant error estimation for MIPAS: methodology

Thomas von Clarmann, Norbert Glatthor, Udo Grabowski, Bernd Funke, Michael Kiefer, Anne Kleinert, Gabriele P. Stiller, Andrea Linden, and Sylvia Kellmann

Viewed

Total article views: 1,710 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,262 374 74 1,710 72 43
  • HTML: 1,262
  • PDF: 374
  • XML: 74
  • Total: 1,710
  • BibTeX: 72
  • EndNote: 43
Views and downloads (calculated since 25 May 2022)
Cumulative views and downloads (calculated since 25 May 2022)

Viewed (geographical distribution)

Total article views: 1,710 (including HTML, PDF, and XML) Thereof 1,709 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Sep 2024
Download
Short summary
Errors of profiles of temperature and mixing ratios retrieved from spectra recorded with the Michelson Interferometer for Passive Atmospheric Sounding are estimated. All known and quantified sources of uncertainty are considered. Some ongoing uncertaities contribute to both the random and to the systematic errors. In some cases, one source of uncertainty propagates onto the error budget via multiple pathways. Problems arise when the correlations of errors to be propagated are unknown.
Read more
Special issue
IMK–IAA MIPAS version 8 data: retrieval, validation, and application...