Statistical analysis of Solar Irradiance

Mathieu Kretzschmar 1 Thierry Dudok de Wit 2 Jean Lilensten 3 Jean Aboudarham 4 Pierre-Olivier Amblard 5 Frédéric Auchère 6 Saïd Moussaoui 7
1 Royal Observatory of Belgium [Brussels]
2 LPCE - Laboratoire de physique et chimie de l'environnement
3 LPG - Laboratoire de Planétologie de Grenoble
4 LESIA - Laboratoire d'études spatiales et d'instrumentation en astrophysique
5 GIPSA-SIGMAPHY - SIGMAPHY
GIPSA-DIS - Département Images et Signal
6 IAS - Institut d'astrophysique spatiale
7 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
Abstract : The study of Solar irradiance and its variability, in particular in the UV and X/EUV spectral range, are of interests both for terrestrial weather, space weather, and because it tells us something about the Sun itself. Beside the radiometric calibration that is essential to study its impact on Earth, the spectral distribution of the irradiance temporal variation at all scales can reveal important information. Recently, an effort has been made to apply various statistical analysis to UV and X/EUV solar irradiance datasets acquired by different instruments: SEE onboard TIMED, SEM onboard SOHO, and SOSLTICE-SUSIM onboard UARS and SORCE. Techniques like multivariate analysis, source separation, and scaling analysis, allow us to explore several aspects of the irradiance time series and to foresee some applications, in particular in the context of space weather. We will present a review of these recent efforts.
Document type :
Conference papers
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https://hal-insu.archives-ouvertes.fr/insu-00366229
Contributor : Béatrice Pibaret-Bourdon <>
Submitted on : Friday, March 6, 2009 - 11:24:58 AM
Last modification on : Wednesday, May 15, 2019 - 3:56:46 AM

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  • HAL Id : insu-00366229, version 1

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Mathieu Kretzschmar, Thierry Dudok de Wit, Jean Lilensten, Jean Aboudarham, Pierre-Olivier Amblard, et al.. Statistical analysis of Solar Irradiance. European Geosciences Union General Assembly (EGU 2007), Apr 2007, Vienne, Austria. ⟨insu-00366229⟩

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