Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/7900
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dc.contributor.authorZwaard, Rens van der-
dc.contributor.authorBergmann, Matthias-
dc.contributor.authorZender, ·Joe-
dc.contributor.authorKariyappa, R-
dc.contributor.authorGiono, Gabriel-
dc.contributor.authorDame, Luc-
dc.date.accessioned2022-01-19T05:51:37Z-
dc.date.available2022-01-19T05:51:37Z-
dc.date.issued2021-09-
dc.identifier.citationSolar Physics, Vol. 296, No. 9, 138en_US
dc.identifier.issn1573-093X-
dc.identifier.urihttp://hdl.handle.net/2248/7900-
dc.descriptionRestricted accessen_US
dc.descriptionThe original publication is available at springerlink.com-
dc.description.abstractThe study of solar irradiance variability is of great importance in heliophysics, Earth’s climate, and space weather applications. These studies require careful identifying, tracking and monitoring of features in the solar photosphere, chromosphere, and corona. Do coronal bright points contribute to the solar irradiance or its variability as input to the Earth atmosphere? We studied the variability of solar irradiance for a period of 10 years (May 2010 – June 2020) using the Large Yield Radiometer (LYRA), the Sun Watcher using APS and image Processing (SWAP) on board PROBA2, and the Atmospheric Imaging Assembly (AIA), and applied a linear model between the segmented features identified in the EUV images and the solar irradiance measured by LYRA. Based on EUV images from AIA, a spatial possibilistic clustering algorithm (SPoCA) is applied to identify coronal holes (CHs), and a morphological feature detection algorithm is applied to identify active regions (ARs), coronal bright points (BPs), and the quiet Sun (QS). The resulting segmentation maps were then applied on SWAP images, images of all AIA wavelengths, and parameters such as the intensity, fractional area, and contribution of ARs/CHs/BPs/QS features were computed and compared with LYRA irradiance measurements as a proxy for ultraviolet irradiation incident to the Earth atmosphere. We modeled the relation between the solar disk features (ARs, CHs, BPs, and QS) applied to EUV images against the solar irradiance as measured by LYRA and the F10.7 radio flux. A straightforward linear model was used and corresponding coefficients computed using a Bayesian method, indicating a strong influence of active regions to the EUV irradiance as measured at Earth’s atmosphere. It is concluded that the long- and short-term fluctuations of the active regions drive the EUV signal as measured at Earth’s atmosphere. A significant contribution from the bright points to the LYRA irradiance could not be found.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.urihttps://doi.org/10.1007/s11207-021-01863-9-
dc.rights© Springer-
dc.subjectSun: UV radiationen_US
dc.subjectSun: activityen_US
dc.subjectSun: coronaen_US
dc.subjectSun: atmosphereen_US
dc.subjectSun: bright pointsen_US
dc.subjectSolar terrestrial relationsen_US
dc.titleSegmentation of Coronal Features to Understand the Solar EUV and UV Irradiance Variability III. Inclusion and Analysis of Bright Pointsen_US
dc.typeArticleen_US
Appears in Collections:IIAP Publications



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