This article introduces our ongoing project “Construction of a Century Solar Chromosphere Data Set for Solar Activity Related Research”. Solar activities are the major sources of space weather that affects human lives. Some of the serious space weather consequences, for instance, include interruption of space communication and navigation, compromising the safety of astronauts and satellites, and damaging power grids. Therefore, the solar activity research has both scientific and social impacts. The major database is built up from digitized and standardized film data obtained by several observatories around the world and covers a timespan more than 100 years. After careful calibration, we will develop feature extraction and data mining tools and provide them together with the comprehensive database for the astronomical community. Our final goal is to address several physical issues: filament behavior in solar cycles, abnormal behavior of solar cycle 24, large-scale solar eruptions, and sympathetic remote brightenings. Significant progresses are expected in data mining algorithms and software development, which will benefit the scientific analysis and eventually advance our understanding of solar cycles.
solar cycle, Hα, filament, multi-parameter calibration, standardization, feature extraction, solar activity pattern
1. Aschwanden M.J. Image Processing Techniques and Feature Recognition in Solar Physics. Solar Phys. 2010, vol. 262, pp. 235–275.
2. Bao S.D., Ai G.X., Zhang H.Q. The Hemispheric Sign Rule of Current Helicity During the Rising Phase of Cycle 23, J. Astrophys. Astron. 2000, vol. 21, pp. 303–306.
3. Brajsa R, Vršnak B, Rundjak V., Schroll A. Polar Crown Filaments and Solar Differential Rotation at High Latitudes. IAU Colloquim. 1990, pp. 117–293.
4. Cui Zhao, GangHua Lin, YuanYong Deng, Xiao Yang. Automatic Recognition of Sunspots in HSOS Full-Disk Solar Images. Publications of the Astronomical Society of Australia. 2016, vol. 33. DOI: 10.1017/pasa.2016.17.
5. Ermolli I., Solanki S.K., Tlatov A.G., Krivova N.A., Ulrich R.K., Singh J. Comparison among CaII K spectroheliogram time series with an application to solar activity studies. Astrophys. J. 2009, vol. 698, pp. 1000–1009.
6. Hansen R., Hansen S. Global distribution of filaments during solar cycle No. 20. Sol. Phys. 1975, vol. 44, pp. 225–230.
7. Hagino M., Sakurai T. Hemispheric helicity asymmetry in active regions for solar cycle 21–23. Proc. COSPAR Colloquia Ser. 2002, vol. 147.
8. Hao Q., Fang C., Chen P.F. Developing an advanced automated method for solar filament recognition and its scientific application to a solar cycle of MLSO Hα data Solar Phys. 2013, vol. 286, pp. 385–404.
9. Moreton G.E., Ramsey H.E. Recent observations of dynamical phenomena associated with solar flares. Publications of the Astronomical Society of the Pacific. 1960, vol. 72, pp. 357–358.
10. Martin S.F., Bilimoria R., Tracadas P.W. Magnetic field configurations basic to filament channels and filaments. Solar surface magnetism. NATO Advanced Science Institutes (ASI) Ser. C.: Mathematical and Physical Sciences, Proc. NATO Advanced Research Workshop. 1994, vol. 303.
11. Pevtsov A.A., Canfield R.C., Metcalf T.R. Latitudinal variation of helicity of photospheric magnetic fields. Astrophys. J. Lett. 1995, vol. 440, pp. L109–112.
12. Pevtsov A.A., Balasubramaniam K.S., Rogers J.W. Chirality of chromospheric filaments. Astrophys. J. 2003, vol. 595, pp. 500–505.
13. Pevtsov A.A., Canfield R.C., Sakurai T., Hagino M. On the solar cycle variation of the hemispheric helicity rule. Astrophys. J. 2008, vol. 677, no. 1, pp. 719–722.
14. Qu M., Shih F.Y., Jing J., Wang H. Automatic solar flare detection using MLP, RBF, and SVM. Solar Phys. 2003, vol. 217, pp. 157–172. DOI: 10.1007/s11207-013-0285-9.
15. Rust D.M., Martin S.F. A correlation between sunspot whirls and filament type. Astronomical Society of the Pacific Conference Ser. 1994, vol. 68, pp. 337.
16. Sheng Zheng, Xiangyun Zeng, Ganghua Lin, Cui Zhao, Yongli Feng, Jinping Tao, Daoyuan Zhu, Li Xiong. Sunspot drawing handwritten character recognition method based on deep learning. New Astronomy. 2016, vol. 45, pp. 54–59.
17. Tang F., Moore R.L. Remote flare brightenings and type III reverse slope bursts. Solar Phys. 1982, vol. 77, pp. 263–276.
18. Yuan Y. Shih F.Y., Jing J., Wang H., Chae J. Automatic Solar Filament Segmentation and Characterization. Solar Phys. 2011, vol. 272, pp. 101. DOI: 10.1007/s11207-011-9798-2.
19. Zharkova V.V. et al. A full disk image standardization of the synoptic solar observation at the Meudon. ESA SP-506. 2002, vol. 2, pp. 975–978.