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: 3,255 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,875
249
131
3,255
101
104
118
HTML: 2,875
PDF: 249
XML: 131
Total: 3,255
Supplement: 101
BibTeX: 104
EndNote: 118
Views and downloads (calculated since 17 Apr 2024)
Cumulative views and downloads
(calculated since 17 Apr 2024)
Total article views: 1,943 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,578
249
116
1,943
101
104
118
HTML: 1,578
PDF: 249
XML: 116
Total: 1,943
Supplement: 101
BibTeX: 104
EndNote: 118
Views and downloads (calculated since 18 Jun 2025)
Cumulative views and downloads
(calculated since 18 Jun 2025)
Total article views: 1,312 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,297
0
15
1,312
0
0
HTML: 1,297
PDF: 0
XML: 15
Total: 1,312
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: 3,255 (including HTML, PDF, and XML)
Thereof 3,129 with geography defined
and 126 with unknown origin.
Total article views: 1,943 (including HTML, PDF, and XML)
Thereof 1,820 with geography defined
and 123 with unknown origin.
Total article views: 1,312 (including HTML, PDF, and XML)
Thereof 1,309 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...
