Issue |
A&A
Volume 528, April 2011
|
|
---|---|---|
Article Number | A68 | |
Number of page(s) | 8 | |
Section | Astronomical instrumentation | |
DOI | https://doi.org/10.1051/0004-6361/201015903 | |
Published online | 03 March 2011 |
Monitoring the solar UV irradiance spectrum from the observation of a few passbands
1 LPC2E, UMR 6115, CNRS and University
of Orléans, 3A avenue de la Recherche
Scientifique, 45071 Orléans Cedex
2, France
e-mail: gael.cessateur@cnrs-orleans.fr
2 LPG, UMR 5109, CNRS and University of Joseph Fourier,
Bâtiment D de Physique, BP 53, 38041 Saint-Martin d’Hères Cedex 9, France
3 LATMOS, UMR 8190, CNRS,
11 boulevard
D’Alembert, 78280
Guyancourt,
France
4 Observatoire Royal de Belgique,
Avenue Circulaire
3, 1800
Brussels,
Belgium
5 Laboratory for Atmospheric and Space
Physics, University of Colorado, 1234 Innovation Dr., Boulder, CO
80303,
USA
Received: 10 October 2010
Accepted: 10 January 2011
Context. The solar irradiance in the UV is a key ingredient in space weather applications; however, because of the lack of continuous and long-term observations, various indices are still used today as surrogates for the solar spectral irradiance.
Aims. As an alternative to current spectrometers we use a few radiometers with properly chosen passbands and reconstruct the solar spectral irradiance from their outputs. The feasibility of such a reconstruction is justified by the high redundancy in the spectral variability.
Methods. Using a multivariate statistical approach, we first compared six years of daily-averaged UV spectra and a selection of passbands (from existing radiometers) and solar indices. This leads to a strategy for defining those passbands that are most appropriate for reconstructing the spectrum.
Results. With four passdbands chosen from already existing instruments, we reconstruct the UV spectrum with a relative error of about 20%. Better performance is achieved with a combination of passbands than with a combination of indices.
Key words: Sun: UV radiation / instrumentation: photometers / methods: statistical / methods: data analysis
© ESO, 2011
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