Lessons learned from predictions of Solar Cycle 24 | Journal of Space Weather and Space Climate

Topical Issue - Space climate: The past and future of solar activity

Open Access

Issue		J. Space Weather Space Clim. Volume 10, 2020 Topical Issue - Space climate: The past and future of solar activity


Article Number		60
Number of page(s)		10
DOI		https://doi.org/10.1051/swsc/2020060
Published online		07 December 2020

Biesecker D., The Solar Cycle 24 Prediction Panel. 2007. Consensus statement of the Solar Cycle 24 prediction panel, released March 2007. URL https://www.swpc.noaa.gov/SolarCycle/SC24/. [Google Scholar]
Bisoi SK, Janardhan P, Ananthakrishnan S. 2020. Another mini solar maximum in the offing: A prediction for the amplitude of Solar Cycle 25. J Geophys Res: Space Phys 125: e2019JA027508. [CrossRef] [Google Scholar]
Bracewell RN. 1953. The sunspot number series. Nature 171(4354): 649–650. https://doi.org/10.1038/171649a0. [NASA ADS] [CrossRef] [Google Scholar]
Brown G. 1986. Working group “A” report: Long-term solar activity predictions. In: Solar-terrestrial predictions, Simon PA, Heckman G, Shea MA (Eds.), pp. 1–7. [Google Scholar]
Choudhuri A, Chatterjee P, Jiang J. 2007. Predicting Solar Cycle 24 with a solar dynamo model. Phys Rev Lett 98(131): 103. https://doi.org/10.1103/PhysRevLett.98.131103. [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
Clette F, Lefèvre L. 2016. The new sunspot number: Assembling all corrections. Sol Phys 291: 2629–2651. https://doi.org/10.1007/s11207-016-1014-y. [NASA ADS] [CrossRef] [Google Scholar]
Clette F, Svalgaard L, Vaquero JM, Cliver EW. 2014. Revisiting the sunspot number. A 400-year perspective on the solar cycle. Space Sci Rev 186: 35–103. https://doi.org/10.1007/s11214-014-0074-2. [CrossRef] [Google Scholar]
Cook AF. 1949. On the mathematical characteristics of sunspot-variations. J Geophys Res 54(4): 347–354. https://doi.org/10.1029/JZ054i004p00347. [CrossRef] [Google Scholar]
Covas E, Peixinho N, Fernandes J. 2019. Neural network forecast of the sunspot butterfly diagram. Sol Phys 294(3): 24. https://doi.org/10.1007/s11207-019-1412-z. [CrossRef] [Google Scholar]
Covington AE. 1969. Solar radio emission at 10.7 cm, 1947–1968. J R Astron Soc Can 63: 125–132. [Google Scholar]
Dancho M, Keydana S. 2018. TensorFlow for R: Predicting sunspot frequency with Keras. https://blogs.rstudio.com/tensorflow/posts/2018-06-25-sunspots-lstm/. [Google Scholar]
Feynman J. 1982. Geomagnetic and solar wind cycles, 1900–1975. J Geophys Res 87: 6153–6162. [CrossRef] [Google Scholar]
Hathaway DH, Wilson RM. 2006. Geomagnetic activity indicates large amplitude for sunspot cycle 24. Geophys Res Lett 33(L18): 101. https://doi.org/10.1029/2006GL027053. [NASA ADS] [CrossRef] [Google Scholar]
Hathaway DH, Wilson RM, Reichman EJ. 1994. The shape of the sunspot cycle. Sol Phys 151: 177–190. https://doi.org/10.1007/BF00654090. [Google Scholar]
Hathaway DH, Wilson RM, Reichman EJ. 1999. A synthesis of solar cycle prediction techniques. J Geophys Res 104: 375–388. https://doi.org/10.1029/1999JA900313. [Google Scholar]
Hathaway DH, Wilson RM, Reichmann EJ. 2001. Status of cycle 23 forecasts. Washington DC Am Geophys Union Geophys Monogr Ser 125: 195–200. https://doi.org/10.1029/GM125p0195. [Google Scholar]
Helal HR, Galal A. 2013. An early prediction of the maximum amplitude of the solar cycle 25. J Adv Res 4(3): 275–278. https://doi.org/10.1016/j.jare.2012.10.002. [CrossRef] [Google Scholar]
Hess Webber SA, Karna N, Pesnell WD, Kirk MS. 2014. Areas of polar coronal holes from 1996 through 2010. Sol Phys 289: 4047–4067. https://doi.org/10.1007/s11207-014-0564-0. [NASA ADS] [CrossRef] [Google Scholar]
Joselyn J, Anderson J, Coffey H, Harvey K, Hathaway D, et al. 1997. Panel achieves consensus prediction of Solar Cycle 23. EOS Trans AGU 78: 205–212. https://doi.org/10.1029/97EO00136. [NASA ADS] [CrossRef] [Google Scholar]
Karna N, Hess Webber SA, Pesnell WD. 2014. Using polar coronal hole area measurements to determine the solar polar magnetic field reversal in Solar Cycle 24. Sol Phys 289: 3381–3390. https://doi.org/10.1007/s11207-014-0541-7. [NASA ADS] [CrossRef] [Google Scholar]
Karna N, Zhang J, Pesnell WD. 2017. The formation and maintenance of the dominant southern polar crown cavity of cycle 24. Astrophys J 835(2): 135. https://doi.org/10.3847/1538-4357/835/2/135. [CrossRef] [Google Scholar]
Kirk MS, Pesnell WD, Young CA, Hess Webber SA. 2009. Automated detection of EUV polar coronal holes during Solar Cycle 23. Sol Phys 257: 99–112. https://doi.org/10.1007/s11207-009-9369-y. [NASA ADS] [CrossRef] [Google Scholar]
Kirk MS, Pesnell WD, Arge C. 2019. A comprehensive assessment of EUV polar coronal holes: 1996–2018. In: American Astronomical Society Meeting Abstracts #234, Vol. 234 of American Astronomical Society Meeting Abstracts, 125.01 p. [Google Scholar]
Layden AC, Fox PA, Howard JM, Sarajedini A, Schatten KH. 1991. Dynamo-based scheme for forecasting the magnitude of solar activity cycles. Sol Phys 132: 1–40. https://doi.org/10.1007/BF00159127. [CrossRef] [Google Scholar]
Li KJ, Yun HS, Gu XM. 2001. On long-term predictions of the maximum sunspot numbers of solar cycles 21 to 23. A&A 368: 285–291. https://doi.org/10.1051/0004-6361:20000547. [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
McIntosh P, Brown G, Buhmann R, Clark T, Fougere P, Hunter H, Lincoln J, Sargent I, Timothy J, Lin Y. 1979. Long-term solar activity predictions. In: NOAA solar-terrestrial predictions proceedings, Donnelly R (Ed.), Vol. 2, pp. 246–257. [Google Scholar]
Muñoz-Jaramillo A, Balmaceda LA, DeLuca EE. 2013. Using the dipolar and quadrupolar moments to improve solar-cycle predictions based on the polar magnetic fields. Phys Rev Lett 111(41): 106. https://doi.org/10.1103/PhysRevLett.111.041106. [Google Scholar]
Ohl AI, Ohl GI. 1979. A new method of very long-term prediction of solar activity. In: Solar-Terrestrial Predictions Proceedings, Donnelly R (Ed.), Vol. 2, NOAA/Space Environment Laboratory, pp. 258–263. [Google Scholar]
Pesnell WD. 2008. Predictions of Solar Cycle 24. Sol Phys 252: 209–220. https://doi.org/10.1007/s11207-008-9252-2. [CrossRef] [Google Scholar]
Pesnell WD. 2012. Solar cycle predictions (invited review). Sol Phys 281: 507–532. https://doi.org/10.1007/s11207-012-9997-5. [Google Scholar]
Pesnell WD. 2014. Predicting Solar Cycle 24 using a geomagnetic precursor pair. Sol Phys 289: 2317–2331. https://doi.org/10.1007/s11207-013-0470-x. [NASA ADS] [CrossRef] [Google Scholar]
Pesnell WD. 2016. Predictions of Solar Cycle 24: How are we doing? Space Weather 14: 10–21. https://doi.org/10.1002/2015SW001304. [NASA ADS] [CrossRef] [Google Scholar]
Pesnell WD. 2018. Effects of version 2 of the International Sunspot Number on naïve predictions of Solar Cycle 25. Space Weather 16: 1997–2003. https://doi.org/10.1029/2018SW002080. [CrossRef] [Google Scholar]
Pesnell WD, Schatten KH. 2018. An early prediction of the amplitude of Solar Cycle 25. Sol Phys 293: 112. https://doi.org/10.1007/s11207-018-1330-5. [CrossRef] [Google Scholar]
Petrovay K. 2020. Solar cycle prediction. Living Rev Sol Phys 17(1): 2. https://doi.org/10.1007/s41116-020-0022-z. [CrossRef] [Google Scholar]
Priyal M, Banerjee D, Karak BB, Muñoz-Jaramillo A, Ravindra B, Choudhuri AR, Singh J. 2014. Polar network index as a magnetic proxy for the solar cycle studies. Astrophys J Lett 793(1): L4. https://doi.org/10.1088/2041-8205/793/1/L4. [CrossRef] [Google Scholar]
Russell CT, Mewaldt RA, Luhmann JG, Mason GM, von Rosenvinge TT, et al. 2013. The very unusual interplanetary coronal mass ejection of 2012 July 23: A blast wave mediated by solar energetic particles. Astrophys J 770: 38. https://doi.org/10.1088/0004-637X/770/1/38. [NASA ADS] [CrossRef] [Google Scholar]
Schatten KH. 2005. Fair space weather for solar cycle 24. Geophys Res Lett 32(L21): 106. https://doi.org/10.1029/2005GL024363. [CrossRef] [Google Scholar]
Schatten KH, Pesnell WD. 1993. An early solar dynamo prediction: Cycle 23 ~ cycle 22. Geophys Res Lett 20: 2275–2278. https://doi.org/10.1029/93GL02431. [Google Scholar]
Schatten KH, Scherrer PH, Svalgaard L, Wilcox JM. 1978. Using Dynamo Theory to predict the sunspot number during Solar Cycle 21. Geophys Res Lett 5: 411–414. https://doi.org/10.1029/GL005i005p00411. [Google Scholar]
Solomon SC, Woods TN, Didkovsky LV, Emmert JT, Qian L. 2010. Anomalously low solar extreme-ultraviolet irradiance and thermospheric density during solar minimum. Geophys Res Lett 37: L16103. https://doi.org/10.1029/2010GL044468. [Google Scholar]
Stenflo JO. 2012. Basal magnetic flux and the local solar dynamo. A&A 547: A93. https://doi.org/10.1051/0004-6361/201219833. [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
Stewart JQ, Panofsky HAA. 1938. The mathematical characteristics of sunspot variations. Astrophys J 88: 385. https://doi.org/10.1086/143994. [NASA ADS] [CrossRef] [Google Scholar]
Sun X, Bobra MG, Hoeksema JT, Liu Y, Li Y, Shen C, Couvidat S, Norton AA, Fisher GH. 2015. Why is the great solar active region 12192 flare-rich but CME-poor? Astrophys J Lett 804: L28. https://doi.org/10.1088/2041-8205/804/2/L28. [NASA ADS] [CrossRef] [Google Scholar]
Svalgaard L, Cliver E, Kamide Y. 2005. Cycle 24: The smallest sunspot cycle in 100 years? Geophys Res Lett 32: L01104. https://doi.org/10.1029/2004GL021664. [Google Scholar]
Svedin A. 2013. Nonlinear data assimilation: Towards a prediction of the solar cycle. Ph.D. thesis, Columbia University, New York. [Google Scholar]
Svedin A, Cuéllar MC, Brandenburg A. 2013. Data assimilation for stratified convection. Mon Not R Astron Soc 433: 2278–2285. https://doi.org/10.1093/mnras/stt891. [CrossRef] [Google Scholar]
Tapping KF, Charrois DP. 1994. Limits to the accuracy of the 10.7 cm flux. Sol Phys 150: 305–315. https://doi.org/10.1007/BF00712892. [Google Scholar]
Tlatov AG. 2009. The minimum activity epoch as a precursor of the solar activity. Sol Phys 260(2): 465–477. https://doi.org/10.1007/s11207-009-9451-5. [Google Scholar]
Upton LA, Hathaway DH. 2018. An updated Solar Cycle 25 prediction with AFT: The modern minimum. Geophys Res Lett 45: 8091–8095. https://doi.org/10.1029/2018GL078387. [CrossRef] [Google Scholar]
Upton L, Biesecker D, The Solar Cycle 25 Prediction Panel. 2019. Solar Cycle 25 predictions. URL https://www.swpc.noaa.gov/sites/default/files/images/u59/10%20Lisa%20Upton%20Official.pdf. [Google Scholar]
Vitinskii YI. 1965. Solar-activity forecasting. In: Vol. F-289 of Technical translation, NASA, Scientific and Technical Information Office, Washington, DC. [Google Scholar]
Wang Y-M, Sheeley NR Jr. 2002. Sunspot activity and the long-term variation of the Sun’s open magnetic flux. J Geophys Res: Space Phys 107(A10): SSH 10–1–SSH 10–15. https://doi.org/10.1029/2001JA000500. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2001JA000500. [CrossRef] [Google Scholar]
Weatherley TF. 1980. Sunspots. What Do They Mean? — Your guess is an good as mine. 73 Magazine, pp. 28–30. https://archive.org/stream/73-magazine-1980-04/04_April_1980#page/n29/mode/2up. [Google Scholar]
Wolf R. 1861. Mittheilungen über die Sonnenflecken XII. Astron Mitt Eidgenüssischen Sternwarte Zurich 2: 41–82. [Google Scholar]
Yeates AR, Muñoz-Jaramillo A. 2013. Kinematic active region formation in a three-dimensional solar dynamo model. Mon Not R Astron Soc 436: 3366–3379. [NASA ADS] [CrossRef] [Google Scholar]

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