Centre National de la Recherche Scientifique (CNRS), Toulouse, France
Viewed
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 884 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
799
54
31
884
33
23
40
HTML: 799
PDF: 54
XML: 31
Total: 884
Supplement: 33
BibTeX: 23
EndNote: 40
Views and downloads (calculated since 17 Apr 2024)
Cumulative views and downloads
(calculated since 17 Apr 2024)
Total article views: 595 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
516
54
25
595
33
23
40
HTML: 516
PDF: 54
XML: 25
Total: 595
Supplement: 33
BibTeX: 23
EndNote: 40
Views and downloads (calculated since 18 Jun 2025)
Cumulative views and downloads
(calculated since 18 Jun 2025)
Total article views: 289 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
283
0
6
289
0
0
HTML: 283
PDF: 0
XML: 6
Total: 289
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 17 Apr 2024)
Cumulative views and downloads
(calculated since 17 Apr 2024)
Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 884 (including HTML, PDF, and XML)
Thereof 875 with geography defined
and 9 with unknown origin.
Total article views: 595 (including HTML, PDF, and XML)
Thereof 587 with geography defined
and 8 with unknown origin.
Total article views: 289 (including HTML, PDF, and XML)
Thereof 288 with geography defined
and 1 with unknown origin.
This paper explores new techniques based on sparse representations for estimating the spectral response functions of high-resolution spectrometers. The method is highly competitive, with commonly used parametric models yielding more accurate estimates while accounting for wavelength dependence. The resulting normalized estimation errors of the spectrometer spectral responses are less than 1 %, which will allow for better quantification of trace gas concentrations at the Earth surface.
This paper explores new techniques based on sparse representations for estimating the spectral...