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: 928 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
836
60
32
928
40
25
42
HTML: 836
PDF: 60
XML: 32
Total: 928
Supplement: 40
BibTeX: 25
EndNote: 42
Views and downloads (calculated since 17 Apr 2024)
Cumulative views and downloads
(calculated since 17 Apr 2024)
Total article views: 639 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
553
60
26
639
40
25
42
HTML: 553
PDF: 60
XML: 26
Total: 639
Supplement: 40
BibTeX: 25
EndNote: 42
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
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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: 928 (including HTML, PDF, and XML)
Thereof 919 with geography defined
and 9 with unknown origin.
Total article views: 639 (including HTML, PDF, and XML)
Thereof 631 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...