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  5. 1D Atmosphere Models from Inversion of Fe I 630 nm Observations with an Application to Solar Irradiance Studies
 

1D Atmosphere Models from Inversion of Fe I 630 nm Observations with an Application to Solar Irradiance Studies

Journal
THE ASTROPHYSICAL JOURNAL
Date Issued
2017
Author(s)
Cristaldi, A.
•
ERMOLLI, Ilaria  
DOI
10.3847/1538-4357/aa713c
Abstract
Present-day semi-empirical models of solar irradiance (SI) variations reconstruct SI changes measured on timescales greater than a day by using spectra computed in one dimensional atmosphere models (1D models), which are representative of various solar surface features. Various recent studies have pointed out, however, that the spectra synthesized in 1D models do not reflect the radiative emission of the inhomogenous atmosphere revealed by high-resolution solar observations. We aimed to derive observation-based atmospheres from such observations and test their accuracy for SI estimates. We analyzed spectropolarimetric data of the Fe I 630 nm line pair in photospheric regions that are representative of the granular quiet-Sun pattern (QS) and of small- and large-scale magnetic features, both bright and dark with respect to the QS. The data were taken on 2011 August 6, with the CRisp Imaging Spectropolarimeter at the Swedish Solar Telescope, under excellent seeing conditions. We derived atmosphere models of the observed regions from data inversion with the SIR code. We studied the sensitivity of results to spatial resolution and temporal evolution, and discuss the obtained atmospheres with respect to several 1D models. The atmospheres derived from our study agree well with most of the 1D models we compare our results with, both qualitatively and quantitatively (within 10%), except for pore regions. Spectral synthesis computations of the atmosphere obtained from the QS observations return an SI between 400 and 2400 nm that agrees, on average, within 2.2% with standard reference measurements, and within -0.14% with the SI computed on the QS atmosphere employed by the most advanced semi-empirical model of SI variations.
Volume
841
Issue
2
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