J. Space Weather Space Clim.
Volume 6, 2016
Statistical Challenges in Solar Information Processing
|Number of page(s)||21|
|Published online||04 March 2016|
Making of a solar spectral irradiance dataset I: observations, uncertainties, and methods
LPC2E/CNRS & Université d’Orléans, 3A Av. de la Recherche Scientifique, 45000
2 Physikalisch-Meteorologisches Observatorium and World Radiation Center, Dorfstrasse 33, CH-7260 Davos Dorf, Switzerland
* Corresponding author: firstname.lastname@example.org
Accepted: 10 January 2016
Context. Changes in the spectral solar irradiance (SSI) are a key driver of the variability of the Earth’s environment, strongly affecting the upper atmosphere, but also impacting climate. However, its measurements have been sparse and of different quality. The “First European Comprehensive Solar Irradiance Data Exploitation project” (SOLID) aims at merging the complete set of European irradiance data, complemented by archive data that include data from non-European missions.
Aims. As part of SOLID, we present all available space-based SSI measurements, reference spectra, and relevant proxies in a unified format with regular temporal re-gridding, interpolation, gap-filling as well as associated uncertainty estimations.
Methods. We apply a coherent methodology to all available SSI datasets. Our pipeline approach consists of the pre-processing of the data, the interpolation of missing data by utilizing the spectral coherency of SSI, the temporal re-gridding of the data, an instrumental outlier detection routine, and a proxy-based interpolation for missing and flagged values. In particular, to detect instrumental outliers, we combine an autoregressive model with proxy data. We independently estimate the precision and stability of each individual dataset and flag all changes due to processing in an accompanying quality mask.
Results. We present a unified database of solar activity records with accompanying meta-data and uncertainties.
Conclusions. This dataset can be used for further investigations of the long-term trend of solar activity and the construction of a homogeneous SSI record.
Key words: Solar spectrum / Data analysis / Statistics and probability / Time series analysis / Algorithms
© M. Schöll et al., Published by EDP Sciences 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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