2022
DOI: 10.3847/1538-4357/ac6671
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An Overview of Sunspot Observations in 1727–1748

Abstract: Solar activity generally exhibits cyclic behavior in terms of sunspot group number and sunspot positions every ≈11 yr. These sunspot data have therefore played key roles in numerous analyses of solar–terrestrial physics. However, their reconstructions prior to the 1830s have remained controversial and included significant data gaps, especially from the 1720s to the 1740s. Therefore, this study reviewed contemporary sunspot observations for 1727–1748 to add several forgotten records by Van Coesfelt in 1728–1729… Show more

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Cited by 12 publications
(7 citation statements)
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“…Many of the data sets that have been recently uncovered and analyzed (e.g., Carrasco et al (2018b; for Hallaschka), for Wargentin), Nogales et al (2020; for Oriani), Hayakawa et al (2021e; for Johann Christoph Müller)) provide information (counts and/or drawings) for both S and G and thus can be applied to revisions of S N as well as to G N . As a manifestation of the increasing focus on recovery and archival of sunspot drawings, several recent works have constructed butterfly diagrams for historical observers (e.g., Leussu et al, 2017;Neuhäuser, Arlt, and Richter, 2018;Hayakawa, Besser, and Iju, 2020;Hayakawa et al, 2022a;Vokhmyanin, Arlt, and Zolotova, 2021; see Figure 9 below).…”
Section: Data Recovery and Revisionmentioning
confidence: 99%
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“…Many of the data sets that have been recently uncovered and analyzed (e.g., Carrasco et al (2018b; for Hallaschka), for Wargentin), Nogales et al (2020; for Oriani), Hayakawa et al (2021e; for Johann Christoph Müller)) provide information (counts and/or drawings) for both S and G and thus can be applied to revisions of S N as well as to G N . As a manifestation of the increasing focus on recovery and archival of sunspot drawings, several recent works have constructed butterfly diagrams for historical observers (e.g., Leussu et al, 2017;Neuhäuser, Arlt, and Richter, 2018;Hayakawa, Besser, and Iju, 2020;Hayakawa et al, 2022a;Vokhmyanin, Arlt, and Zolotova, 2021; see Figure 9 below).…”
Section: Data Recovery and Revisionmentioning
confidence: 99%
“…Figure 8 shows that the 1730s and 1740s are the weakest link in the sunspot-number time series. Substantial attention has been focused on this data-poor interval (Section 2.2.1(c)) by Hayakawa et al (2022a) which is critical to connect Staudacher to the Maunder Minimum (Section 2.2.1(b); the low end of the lever arm for TSI reconstruction and climate-change studies; Solanki et al, 2013) and all preceding years, including those for which the sunspot record must be inferred from cosmogenic radionuclides.…”
Section: Galileo To Staudacher: Encompassing the Maunder Minimummentioning
confidence: 99%
“…The last decade was marked by a rekindled interest in and extensive study of sunspot data, leading to a recovery of many new data, as well as corrections of existing records (e.g. Arlt et al 2013Arlt et al , 2016Vaquero et al 2016;Carrasco et al 2018Carrasco et al , 2019Carrasco et al , 2021aHayakawa et al 2020Hayakawa et al , 2021aHayakawa et al , 2022Vokhmyanin et al 2020;Bhattacharya et al 2021). Furthermore, various issues with the cross-calibration and compilation approaches of records of individual observers have been realised (Clette & Lefèvre 2016Lockwood et al 2016;Usoskin et al 2016b), leading to new techniques and several alternative GSN series (Usoskin et al 2016c(Usoskin et al , 2021aWillamo et al 2017;Chatzistergos et al 2017;Svalgaard & Schatten 2016;Cliver & Ling 2016) as well as version 2 of ISN (ISNv2 Clette & Lefèvre 2016).…”
Section: Sunspot Recordsmentioning
confidence: 99%
“…We have identified 547 days of sunspot observations that were included in his summary manuscript (MS Akc.1985/15) and his correspondence with Bode, apart from his close-up sketches for specific sunspot groups. Using the Waldmeier classification (see Kiepenheuer, 1953), we counted the sunspot groups in his records (Hayakawa et al, 2023) and compared them with the V16 database (Fig. 2) and contemporary longterm observers (Fig.…”
Section: Karl Von Lindener and His Observationsmentioning
confidence: 99%