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Extending the sunspot area series from Kodaikanal Solar Observatory

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dc.contributor.author Jha, Bibhuti K
dc.contributor.author Hegde, M
dc.contributor.author Priyadarshi, Aditya
dc.contributor.author Mandal, Sudip
dc.contributor.author Ravindra, B
dc.contributor.author Banerjee, D
dc.date.accessioned 2022-10-25T08:10:31Z
dc.date.available 2022-10-25T08:10:31Z
dc.date.issued 2022-10
dc.identifier.citation Frontiers in Astronomy and Space Sciences, Vol. 9, 1019751 en_US
dc.identifier.issn 1365-2966
dc.identifier.uri http://hdl.handle.net/2248/8071
dc.description Open Access en_US
dc.description This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
dc.description.abstract Kodaikanal Solar Observatory (KoSO) possesses one of world's longest and homogeneous records of sunspot observations that span more than a century (1904–2017). Interestingly, these observations (originally recorded in photographic plates/films) were taken with the same setup over this entire time period which makes this data unique and best suitable for long-term solar variability studies. A large part of this data, between 1921–2011, were digitized earlier and a catalog containing the detected sunspot parameters (e.g., area and location) was published in Mandal et al. (2017). In this article, we extend the earlier catalog by including new sets of data between 1904–1921 and 2011–2017. To this end, we digitize and calibrate these new datasets which include resolving the issue of random image orientation. We fix this by comparing the KoSO images with co-temporal data from Royal Greenwich Observatory. Following that, a semi-automated sunspot detection and automated umbra detection algorithm are implemented onto these calibrated images to detect sunspots and umbra. Additionally, during this catalog updation, we also filled data gaps in the existing KoSO sunspot catalog (1921–2011) by virtue of re-calibrating the "rouge" plates. This updated sunspot area series covering nearly 115 years (1904–2017) are being made available to the community and will be a unique source to study the long term variability of the Sun. en_US
dc.language.iso en en_US
dc.publisher Frontiers en_US
dc.relation.uri https://doi.org/10.3389/fspas.2022.1019751
dc.rights © 2022 Jha, Hegde, Priyadarshi, Mandal, Ravindra and Banerjee
dc.subject Sun en_US
dc.subject Sunspots en_US
dc.subject Solar cycle en_US
dc.subject Kodaikanal Solar Observatory en_US
dc.subject White-light en_US
dc.subject Sunspot area en_US
dc.subject Umbra area
dc.title Extending the sunspot area series from Kodaikanal Solar Observatory en_US
dc.type Article en_US


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