Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/8071
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dc.contributor.authorJha, Bibhuti K-
dc.contributor.authorHegde, M-
dc.contributor.authorPriyadarshi, Aditya-
dc.contributor.authorMandal, Sudip-
dc.contributor.authorRavindra, B-
dc.contributor.authorBanerjee, D-
dc.date.accessioned2022-10-25T08:10:31Z-
dc.date.available2022-10-25T08:10:31Z-
dc.date.issued2022-10-
dc.identifier.citationFrontiers in Astronomy and Space Sciences, Vol. 9, 1019751en_US
dc.identifier.issn1365-2966-
dc.identifier.urihttp://hdl.handle.net/2248/8071-
dc.descriptionOpen Accessen_US
dc.descriptionThis 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.abstractKodaikanal 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.isoenen_US
dc.publisherFrontiersen_US
dc.relation.urihttps://doi.org/10.3389/fspas.2022.1019751-
dc.rights© 2022 Jha, Hegde, Priyadarshi, Mandal, Ravindra and Banerjee-
dc.subjectSunen_US
dc.subjectSunspotsen_US
dc.subjectSolar cycleen_US
dc.subjectKodaikanal Solar Observatoryen_US
dc.subjectWhite-lighten_US
dc.subjectSunspot areaen_US
dc.subjectUmbra area-
dc.titleExtending the sunspot area series from Kodaikanal Solar Observatoryen_US
dc.typeArticleen_US
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