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Near-transyear in solar magnetism a Halberg Chronobiology Center, University of Minnesota, MMC 8609, 420 Delaware Street SE, Minneapolis, MN 55455, USA b Tokyo Women’s Medical University, Tokyo, Japan *Corresponding authors. E-mail addresses: corne001/at/umn.edu (G. Cornélissen), Email: halbe001/at/umn.edu (F. Halberg) The publisher's final edited version of this article is available at Biomed Pharmacother.Abstract Daily data on solar magnetism, available from May 1975 to April 2002, were analyzed by linear–nonlinear rhythmometry, with particular focus on the near-transyear, slightly longer than the calendar year. The time structure of solar magnetism is compared to that of solar activity, gauged by Wolf numbers. An about 27-day component corresponding to the solar rotation period, is common to both variables but differs in harmonic content. About 10-year component characterizes solar activity but not solar magnetism. A near-transyear with a period of about 1.05 years is detected in solar magnetism. In solar activity, a near-transyear is also found but its period of about 1.10 years is longer than that characterizing solar magnetism, and it may be paired with an about 0.9-year component to correspond to an about 10-year modulation in amplitude or phase of an about-yearly component. Keywords: Chronome, Near-transyear, Solar activity, Solar magnetism, Wolf numbers 1. Introduction Far- and near-transyears, with periods differing from (and slightly longer than) the calendar year, the former described by physicists earlier [1], have recently found counterparts in biology. Near-transyears were defined as having a period between 1.0 and 1.2 years with a 95% confidence interval (CI) not overlapping these limits [2]. The time structures of solar magnetism and solar activity, gauged by Wolf numbers, are examined herein, with particular focus on any near-transyear that would be in keeping with a rule of reciprocal cycles in and around us [3]. 2. Materials and methods Daily averages of the solar magnetic field were downloaded from NOAA’s website (http://ftp.ngdc.noaa.gov/STP/SOLAR_DATA/SUNASASTAR/Stanford/). SUN-AS-A-STAR data measure the solar magnetic field summed over the disk as the net magnetic field, expressed in microTeslas. The data from PH Scherrer of the Stanford Solar Observatory are available from May 16, 1975 to the present. Data up to the end of April 2002 are analyzed herein. Several observations are typically made daily, centered around local noon. Each value reported is a weighted average of all measurements for that day. The weighting arises from effects that include solar rotation, limb darkening, and weakening of the sensitive absorption line within active regions [4]. Daily values of Wolf numbers gauging solar activity for the same 27-year span (May 1975–April 2002) are also analyzed. In order to assess any spurious effect due to missing values in the record of solar magnetic data, the series on Wolf numbers was analyzed as such and after removing values on days when no solar magnetic data were available. 3. Results Fig. 1
Least squares spectra of Wolf numbers, averaged over consecutive 3-day intervals, are very similar whether all data are considered or only those on days when values are available for the solar magnetic field, Fig. 2
4. Discussion and conclusion Whereas the near-transyear appears as an isolated peak in the least squares spectrum of solar magnetic data, another peak of even larger amplitude is found in the least squares spectrum of Wolf numbers at a frequency of one cycle in 0.90 year, raising the possibility that the about 0.90- and 1.10-year spectral lines are sidelobes around the year representing an about 10-year modulation in amplitude and/or phase of an about-yearly variation. Such an about 10-year modulation could also be related to the solar activity cycle. An analysis of monthly averages of daily values of all 40 variables included in the OMNI 2 database available from 1963 to 2003 (41 years) had shown the presence of a single spectral peak around one cycle in 1.05 years, resolved nonlinearly, only for the north–south component of the induction vector of the interplanetary magnetic field (Bz GSM), proton density, plasma speed and its standard deviation. These variables thus show a near-transyear similar to that detected in solar magnetism herein. Other variables in OMNI 2 such as Bx and By, the two horizontal components of the interplanetary magnetic field, are characterized by two components with periods of about 0.95 and 1.05 years, rather than by a single about 1.05-year component. The mapping of time structures (chronomes) in physical variables of our environment near and far may help understand the origin of similar components found in biological variables [3]. Evidence for near-transyears or at least candidate near-transyears has been found in a 15-year series of urinary excretion of 17-ketosteroids by a clinically healthy man [14], in a longitudinal series of blood pressure data collected around the clock for 7 years [15], and in epidemiologic data discussed elsewhere in this volume. Earlier, influences of non-photic solar effects on biota were shown to involve a host of other components, including the far-transyear with a period between 1.2 and 2 years, its 95% CI not overlapping these limits [2]. Far-transyears with an about 1.3-year period documented for the solar wind speed by physicists [1] have been found in all longitudinal blood pressure series available to us for analysis thus far [16]. Other pertinent components include the half-year [17,18], the circadecadal and multi-decadal cycles [3], and of course the circaseptans and multiseptans [19–22], constituting an unfolding spectrum of magnetperiodisms. The latter may underlie any direct association of geomagnetic storms with heart rate variability [23,24] and melatonin [25,26], topics reviewed elsewhere in this volume [27]. Far-transyears were reported by Howe et al. [28–30] in helioseismology at the sun’s equator, whereas at higher solar latitudes, 1.0-year components prevailed. When we found the near-transyear in the solar wind speed, its standard deviation and in the proton density, we requested and obtained the helioseismologic data from her, anticipating finding a near-transyear rather than a precise yearly component. Our anticipation was not validated by the analyses, showing a 1.0-year component in helioseismology, in keeping with the original report by Howe et al. [28–30], presumably on series shorter than those analyzed herein. There remained the enigma of the source of the near-transyear in several solar wind features. This enigma is apparently solved by the analyses presented herein. The sun has many facets, and a spectral approach in this study resolves some differences between solar activity, gauged by Wolf’s relative sunspot numbers, and solar magnetism, and also between solar magnetism and helioseismology. In most non-photic variables such as Wolf’s relative sunspot numbers, we are not dealing with rigorous periodic phenomena. Many components have changing amplitudes and frequencies. Spectral components were detected by time series analysis techniques used for rigorously periodic phenomena. The changing characteristics of these components can be visualized by gliding spectra, provided the record is long enough. In the case of the near-transyear, an interval of at least 20 years would have to be used to distinguish it from the calendar year. No independent replication could thus be obtained from a 27-year record such as the data analyzed herein. For components with shorter periods such as circaseptans, gliding spectra show the changing characteristics as a function of time, notably in relation to solar cycle stage [22]. The prefixes ‘pseudo-‘, ‘para-‘ or ‘quasi-‘ do not help in conveying their wobbly, transient nature. What helps is a transdisciplinary approach, a finding of the same phenomenon with the same method in a number of different disciplines that all focus from different viewpoints on a given feature. Similarities and important subtle and statistically significant differences can thus be assessed that may help shed light on putative underlying mechanisms. The finding of a near-transyear in solar magnetism seen in Fig. 1 Acknowledgments GM-13981 (F.H.), Dr. h.c. mult. Earl Bakken Fund (G.C., F.H.) and University of Minnesota Supercomputing Institute (G.C., F.H.). References 1. Richardson JD, Paularena KI, Belcher JW, Lazarus AJ. Solar wind oscillations with a 1.3-year period. Geophys Res Lett. 1994;21:1559–60. 2. Halberg F, Cornélissen G, Katinas G, Schwartzkopff O, Johnson D. Theodor Hellbrügge: 85 years of age—Ad multos transannos, sanos, fortunatos et beatos. J Circadian Rhythms. 2005. p. 10. [ http://www.jcircadianrhythms.com/content/3/1/2] [PubMed] 3. Halberg F, Cornélissen G, Otsuka K, Watanabe Y, Katinas GS, Burioka N, et al. Intern BIOCOS Study Group. Cross-spectrally coherent ~10.5- and 21-year biological and physical cycles, magnetic storms and myocardial infarctions. Neuroendocrinol Lett. 2000;21:233–58. [PubMed] 4. Scherrer PH. The mean magnetic field of the sun: observations at Stanford. Solar Phys. 1977;54:353–61. 5. Halberg F. Chronobiology. Ann Rev Physiol. 1969;31:675–725. [PubMed] 6. Cornélissen G, Halberg F. Chronomedicine. In: Armitage P, Colton T, editors. Encyclopedia of biostatistics. Vol. 2. Chichester, UK: John Wiley & Sons Ltd; 2005. pp. 796–812. 7. Marquardt DW. An algorithm for least squares estimation of nonlinear parameters. J Soc Indust Appl Math. 1963;11:431–41. 8. Rummel JA, Lee JK, Halberg F. Combined linear–nonlinear chronobiologic windows by least-squares resolve neighboring components in a physiologic rhythm spectrum. In: Ferin M, Halberg F, Richart RM, Vande Wiele R, editors. Biorhythms and human reproduction, Int Inst for the Study of Human Reproduction Conf Proc. New York: John Wiley & Sons; 1974. pp. 53–82. 9. Halberg F. Chronobiology: methodological problems. Acta Med Rom. 1980;18:399–440. 10. Vandakurov YV. Simple relationships for determining the asymmetry of solar rotation. Technical Phys. 2004;49:1280–83. 11. Chapman S, Bartels J. Geomagnetism. 3. Oxford: Clarendon Press; 1962. p. 1049. 12. Shapiro R. Interpretation of the subsidiary peaks at periods near 27 days in power spectra of geomagnetic disturbance indices. J Geophys Res. 1967;72:4945–49. 13. Düll T, Düll B. Über die Abhängigkeit des Gesundheitszustandes von plötzlichen Eruptionen auf der Sonne und die Existenz einer 27tägigen Periode in den Sterbefällen. Virchows Archiv. 1934;293:272–319. 14. Halberg F, Cornélissen G, Bakken EE, Sothern RB, Schwartzkopff O, Hamburger C. Transyears: new endpoints for gerontology and geriatrics or confusing sources of variability? J Gerontol A Biol Sci Med Sci. 2004;59:1344–47. [PubMed] 15. Halberg F, Cornélissen G, Otsuka K, Fiser B, Mitsutake G, Wendt HW, et al. Incidence of sudden cardiac death, myocardial infarction and far- and near-transyears. Biomed Pharmacother. 2005;59(Suppl 1):S239–61. [PubMed] 16. Cornélissen G, Masalov A, Halberg F, Richardson JD, Katinas GS, Sothern RB, et al. Multiple resonances among time structures, chronomes, around and in us. Is an about 1.3-year periodicity in solar wind built into the human cardiovascular chronome? Hum Physiol. 2004;30(2):86–92. 17. Cornélissen G, Halberg F, Pöllmann L, Pöllman B, Katinas GS, Minne H, et al. Circasemiannual chronomics: half-yearly biospheric changes in their own right and as a circannual waveform. Biomed Pharmacother. 2003;57(Suppl 1):45s–54s. [PubMed] 18. Cornélissen G, Halberg F, Breus T, Syutkina EV, Baevsky R, Weydahl A, et al. Non-photic solar associations of heart rate variability and myocardial infarction. J Atmos Solar-Terr Phys. 2002;64:707–20. 19. Halberg F. The week in phylogeny and ontogeny: opportunities for oncology. In Vivo. 1995;9:269–78. [PubMed] 20. Cornélissen G, Halberg F, Wendt HW, Bingham C, Sothern RB, Haus E, et al. Resonance of about-weekly human heart rate rhythm with solar activity change. Biologia (Bratislava). 1996;51:749–56. 21. Cornélissen G, Engebretson M, Johnson D, Otsuka K, Burioka N, Posch J, et al. The week, inherited in neonatal human twins, found also in geomagnetic pulsations in isolated Antarctica. Biomed Pharmacother. 2001;55(Suppl 1):32–50. [PubMed] 22. Cornélissen G, Hillman D, Katinas G, Rapoport S, Breus TK, Otsuka K, Bakhen EE, Halberg F. Geomagnetics and society interact in weekly and broader multiseptans underlying health and environmental integrity. Biomed Pharmacother. 2002;56(Suppl 2):319s–326s. [PubMed] 23. Cornelissen G, Halberg F, Schwartzkopff O, Delmore P, Katinas G, Hunter D, et al. Time structures, for chronobioengineering for “a full life” Biomed Instrum Technol. 1999;33:152–87. [PubMed] 24. Otsuka K, Cornélissen G, Weydahl A, Holmeslet B, Hansen TL, Shinagawa M, et al. Geomagnetic disturbance associated with decrease in heart rate variability in a subarctic area. Biomed Pharmacother. 2001;55(Suppl 1):51–6. 25. Burch JB, Reif JS, Yost MG. Geomagnetic disturbances are associated with reduced nocturnal excretion of a melatonin metabolite in humans. Neurosci Lett. 1999;266:209–12. [PubMed] 26. Weydahl A, Sothern RB, Cornélissen G, Wetterberg L. Geomagnetic activity influences the melatonin secretion at latitude 70 degrees N. Biomed Pharmacother. 2001;55(Suppl 1):57s–62s. [PubMed] 27. Jozsa R, Halberg F, Cornélissen G, Zeman M, Kazsaki J, Csernus V, et al. Chronomics, neuroendocrine feedsidewards and the recording and consulting of nowcasts—forecasts of geomagnetics. (in press). 28. Howe R, Christensen-Dalsgaard J, Hill F, Komm RW, Larsen RM, Schou J, et al. Dynamic variations at the base of the solar convection zone. Science. 2000;287(5462):2456–60. [PubMed] 29. Howe R, Christensen-Dalsgaard J, Hill F, Komm RW, Munk Larsen R, Schou J, et al. In: Wilson A, editor. Solar cycle changes in convection zone dynamics from MDI and GONG 1995–2000; Proc SOHO 10/GONG 2000 Workshop, Helio- and Asteroseismology at the Dawn of the Millennium; Santa Cruz de Tenerife, Tenerife, Spain. Noordwijk, The Netherlands: ESA Publications Division; 2–6 October 2000, 2001. pp. 19–26. ESA SP-464. 30. Howe R. In: Sawaya-Lacoste H, editor. The internal rotation of the sun; Proc SOHO 12/GONG+ 2002, Local and Global Helioseismology: The Present and Future; Big Bear Lake, California, USA. Noordwijk, The Netherlands: ESA Publications Division; 27 October–1 Nov 2002, 2003. pp. 81–86. |
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J Circadian Rhythms. 2005 Sep 6; 3():10.
[J Circadian Rhythms. 2005]Neuro Endocrinol Lett. 2000; 21(3):233-258.
[Neuro Endocrinol Lett. 2000]Annu Rev Physiol. 1969; 31():675-725.
[Annu Rev Physiol. 1969]Neuro Endocrinol Lett. 2000; 21(3):233-258.
[Neuro Endocrinol Lett. 2000]J Gerontol A Biol Sci Med Sci. 2004 Dec; 59(12):1344-7.
[J Gerontol A Biol Sci Med Sci. 2004]Biomed Pharmacother. 2005 Oct; 59 Suppl 1():S239-61.
[Biomed Pharmacother. 2005]J Circadian Rhythms. 2005 Sep 6; 3():10.
[J Circadian Rhythms. 2005]Biomed Pharmacother. 2003 Oct; 57 Suppl 1():45s-54s.
[Biomed Pharmacother. 2003]Science. 2000 Mar 31; 287(5462):2456-60.
[Science. 2000]Biomed Pharmacother. 2002; 56 Suppl 2():319s-326s.
[Biomed Pharmacother. 2002]