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: 3,124 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,802
226
96
3,124
94
66
89
HTML: 2,802
PDF: 226
XML: 96
Total: 3,124
Supplement: 94
BibTeX: 66
EndNote: 89
Views and downloads (calculated since 17 Apr 2024)
Cumulative views and downloads
(calculated since 17 Apr 2024)
Total article views: 1,836 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,529
226
81
1,836
94
66
89
HTML: 1,529
PDF: 226
XML: 81
Total: 1,836
Supplement: 94
BibTeX: 66
EndNote: 89
Views and downloads (calculated since 18 Jun 2025)
Cumulative views and downloads
(calculated since 18 Jun 2025)
Total article views: 1,288 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,273
0
15
1,288
0
0
HTML: 1,273
PDF: 0
XML: 15
Total: 1,288
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: 3,124 (including HTML, PDF, and XML)
Thereof 2,998 with geography defined
and 126 with unknown origin.
Total article views: 1,836 (including HTML, PDF, and XML)
Thereof 1,713 with geography defined
and 123 with unknown origin.
Total article views: 1,288 (including HTML, PDF, and XML)
Thereof 1,285 with geography defined
and 3 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...
