參考文獻 |
Ayala Solares, J. R., Wei, H.-L., Boynton, R. J., Walker, S. N., & Billings, S. A. (2016). Modeling and prediction of global magnetic disturbance in near-Earth space: A case study for Kp index using NARX models. Space Weather, 14(10), 899-916. https://doi.org/10.1002/2016SW001463
Baker, D. N., Hones Jr., E. W., Payne, J. B., & Feldman, W. C. (1981). A high time resolution study of interplanetary parameter correlations with AE. Geophysical Research Letters, 8(2), 179-182. https://doi.org/10.1029/GL008i002p00179
Bala, R., & Reiff, P. (2012). Improvements in short-term forecasting of geomagnetic activity. Space Weather, 10(6). https://doi.org/10.1029/2012SW000779
Bala, R., Reiff, P. H., & Landivar, J. E. (2009). Real-time prediction of magnetospheric activity using the Boyle Index. Space Weather, 7(4). https://doi.org/10.1029/2008SW000407
Balikhin, M. A., Boaghe, O. M., Billings, S. A., & Alleyne, H. S. C. K. (2001). Terrestrial magnetosphere as a nonlinear resonator. Geophysical Research Letters, 28(6), 1123-1126. https://doi.org/10.1029/2000GL000112
Bartels, J. (1949). The standardized index Ks, and the planetary index Kp, IATME Bull., 12 (b), 97, IUGG Publ. Office, Paris.
Bartels, J. (1957). The technique of scaling indices K and Q of geomagnetic activity. Ann. Intern. Geophys., 4, 215-226.
Bartels, J., Heck, N. H., & Johnston, H. F. (1939). The three-hour-range index measuring geomagnetic activity. Terrestrial Magnetism and Atmospheric Electricity, 44(4), 411-454. https://doi.org/10.1029/TE044i004p00411
Bartels, J., Heck, N. H., & Johnston, H. F. (1940). Geomagnetic three-hour-range indices for the years 1938 and 1939. Terrestrial Magnetism and Atmospheric Electricity, 45(3), 309-337. https://doi.org/10.1029/TE045i003p00309
Bennett, D. A. (2001). How can I deal with missing data in my study? Australian and New Zealand journal of public health, 25(5), 464-469.
Boaghe, O. M., Balikhin, M. A., Billings, S. A., & Alleyne, H. (2001). Identification of nonlinear processes in the magnetospheric dynamics and forecasting of Dst index. Journal of Geophysical Research: Space Physics, 106(A12), 30047-30066. https://doi.org/10.1029/2000JA900162
Boberg, F., Wintoft, P., & Lundstedt, H. (2000). Real time Kp predictions from solar wind data using neural networks. Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary Science, 25(4), 275-280.
Borovsky, J. E., Thomsen, M. F., Elphic, R. C., Cayton, T. E., & McComas, D. J. (1998). The transport of plasma sheet material from the distant tail to geosynchronous orbit. Journal of Geophysical Research: Space Physics, 103(A9), 20297-20331. https://doi.org/10.1029/97JA03144
Boyle, C. B., Reiff, P. H., & Hairston, M. R. (1997). Empirical polar cap potentials. Journal of Geophysical Research: Space Physics, 102(A1), 111-125. https://doi.org/10.1029/96JA01742
Bruinsma, S. (2015). The DTM-2013 thermosphere model. J. Space Weather Space Clim., 5, A1. https://doi.org/10.1051/swsc/2015001
Camporeale, E. (2019). The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting. Space Weather, 17(8), 1166-1207. https://doi.org/10.1029/2018SW002061
Costello, K. A. (1998). Moving the Rice MSFM into a real-time forecast mode using solar wind driven forecast modules. Rice University.
Crooker, N. U., & Gringauz, K. I. (1993). On the low correlation between long-term averages of solar wind speed and geomagnetic activity after 1976. Journal of Geophysical Research: Space Physics, 98(A1), 59-62. https://doi.org/10.1029/92JA01978
Dungey, J. W. (1961). Interplanetary Magnetic Field and the Auroral Zones. Physical Review Letters, 6(2), 47-48. https://doi.org/10.1103/PhysRevLett.6.47
Dutoit, S. H. C. (2012). Graphical exploratory data analysis. Place of publication not identified: Springer.
Emery, B. A., Coumans, V., Evans, D. S., Germany, G. A., Greer, M. S., Holeman, E., Kadinsky-Cade, K., Rich, F. J., & Xu, W. (2008). Seasonal, Kp, solar wind, and solar flux variations in long-term single-pass satellite estimates of electron and ion auroral hemispheric power. Journal of Geophysical Research: Space Physics, 113(A6). https://doi.org/10.1029/2007JA012866
Emmert, J. T., Drob, D. P., Picone, J. M., Siskind, D. E., Jones Jr., M., Mlynczak, M. G., Bernath, P. F., Chu, X., Doornbos, E., Funke, B., Goncharenko, L. P., Hervig, M. E., Schwartz, M. J., Sheese, P. E., Vargas, F., Williams, B. P., & Yuan, T. (2021). NRLMSIS 2.0: A Whole-Atmosphere Empirical Model of Temperature and Neutral Species Densities. Earth and Space Science, 8(3), e2020EA001321. https://doi.org/10.1029/2020EA001321
Garrett, H. B., Dessler, A. J., & Hill, T. W. (1974). Influence of solar wind variability on geomagnetic activity. Journal of Geophysical Research (1896-1977), 79(31), 4603-4610. https://doi.org/10.1029/JA079i031p04603
Haiducek, J. D., Welling, D. T., Ganushkina, N. Y., Morley, S. K., & Ozturk, D. S. (2017). SWMF Global Magnetosphere Simulations of January 2005: Geomagnetic Indices and Cross-Polar Cap Potential. Space Weather, 15(12), 1567-1587. https://doi.org/10.1002/2017SW001695
Heidrich-Meisner, V., & Wimmer-Schweingruber, R. F. (2018). Chapter 16 - Solar Wind Classification Via k-Means Clustering Algorithm. In E. Camporeale, S. Wing, & J. R. Johnson (Eds.), Machine Learning Techniques for Space Weather (pp. 397-424). Elsevier. https://doi.org/10.1016/B978-0-12-811788-0.00016-0
Hochreiter, S., & Schmidhuber, J. (1997). Long Short-Term Memory. Neural Comput., 9(8), 1735–1780. https://doi.org/10.1162/neco.1997.9.8.1735
Hoilijoki, S., Souza, V. M., Walsh, B. M., Janhunen, P., & Palmroth, M. (2014). Magnetopause reconnection and energy conversion as influenced by the dipole tilt and the IMF Bx. Journal of Geophysical Research: Space Physics, 119(6), 4484-4494. https://doi.org/10.1002/2013JA019693
Ji, E.-Y., Moon, Y.-J., Park, J., Lee, J.-Y., & Lee, D.-H. (2013). Comparison of neural network and support vector machine methods for Kp forecasting. Journal of Geophysical Research: Space Physics, 118(8), 5109-5117. https://doi.org/10.1002/jgra.50500
Johnson, J. R., & Wing, S. (2004). A cumulant-based analysis of nonlinear magnetospheric dynamics.
Johnson, J. R., & Wing, S. (2005). A solar cycle dependence of nonlinearity in magnetospheric activity. Journal of Geophysical Research: Space Physics, 110(A4). https://doi.org/10.1029/2004JA010638
Kivelson, M. G. R. C. T. (1995). Introduction to space physics. Cambridge University Press.
Liemohn, M. W., McCollough, J. P., Jordanova, V. K., Ngwira, C. M., Morley, S. K., Cid, C., Tobiska, W. K., Wintoft, P., Ganushkina, N. Y., Welling, D. T., Bingham, S., Balikhin, M. A., Opgenoorth, H. J., Engel, M. A., Weigel, R. S., Singer, H. J., Buresova, D., Bruinsma, S., Zhelavskaya, I. S., . . . Vasile, R. (2018). Model Evaluation Guidelines for Geomagnetic Index Predictions. Space Weather, 16(12), 2079-2102. https://doi.org/10.1029/2018SW002067
Liu, H.-L., Bardeen, C. G., Foster, B. T., Lauritzen, P., Liu, J., Lu, G., Marsh, D. R., Maute, A., McInerney, J. M., Pedatella, N. M., Qian, L., Richmond, A. D., Roble, R. G., Solomon, S. C., Vitt, F. M., & Wang, W. (2018). Development and Validation of the Whole Atmosphere Community Climate Model With Thermosphere and Ionosphere Extension (WACCM-X 2.0). Journal of Advances in Modeling Earth Systems, 10(2), 381-402. https://doi.org/10.1002/2017MS001232
Mauk, B. H., & McIlwain, C. E. (1974). Correlation of Kp with the substorm-injected plasma boundary. Journal of Geophysical Research (1896-1977), 79(22), 3193-3196. https://doi.org/10.1029/JA079i022p03193
McCulloch, W. S., & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity. The bulletin of mathematical biophysics, 5(4), 115-133. https://doi.org/10.1007/BF02478259
Newell, P. T., Sotirelis, T., Liou, K., Meng, C.-I., & Rich, F. J. (2007). A nearly universal solar wind-magnetosphere coupling function inferred from 10 magnetospheric state variables. Journal of Geophysical Research: Space Physics, 112(A1). https://doi.org/10.1029/2006JA012015
Papitashvili, V. O., Papitashvili, N. E., & King, J. H. (2000). Solar cycle effects in planetary geomagnetic activity: Analysis of 36-year long OMNI dataset. Geophysical Research Letters, 27(17), 2797-2800. https://doi.org/10.1029/2000GL000064
Qian, L., Burns, A. G., Emery, B. A., Foster, B., Lu, G., Maute, A., Richmond, A. D., Roble, R. G., Solomon, S. C., & Wang, W. (2014). The NCAR TIE-GCM. In Modeling the Ionosphere–Thermosphere System (pp. 73-83). https://doi.org/10.1002/9781118704417.ch7
Schafer, J. L. (1999). Multiple imputation: a primer. Statistical methods in medical research, 8(1), 3-15.
Shue, J.-H., Chao, J. K., Fu, H. C., Russell, C. T., Song, P., Khurana, K. K., & Singer, H. J. (1997). A new functional form to study the solar wind control of the magnetopause size and shape. Journal of Geophysical Research: Space Physics, 102(A5), 9497-9511. https://doi.org/10.1029/97JA00196
Shue, J.-H., Song, P., Russell, C. T., Steinberg, J. T., Chao, J. K., Zastenker, G., Vaisberg, O. L., Kokubun, S., Singer, H. J., Detman, T. R., & Kawano, H. (1998). Magnetopause location under extreme solar wind conditions. Journal of Geophysical Research: Space Physics, 103(A8), 17691-17700. https://doi.org/10.1029/98JA01103
Siebert, M. (Ed.). (1971). Maßzahlen der erdmagnetischen Aktivität. Springer.
Skoug, R. M., Gosling, J. T., Steinberg, J. T., McComas, D. J., Smith, C. W., Ness, N. F., Hu, Q., & Burlaga, L. F. (2004). Extremely high speed solar wind: 29–30 October 2003. Journal of Geophysical Research: Space Physics, 109(A9). https://doi.org/10.1029/2004JA010494
Subbotin, D. A., Shprits, Y. Y., & Ni, B. (2011). Long-term radiation belt simulation with the VERB 3-D code: Comparison with CRRES observations. Journal of Geophysical Research: Space Physics, 116(A12). https://doi.org/10.1029/2011JA017019
Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics (Vol. 5). pearson Boston, MA.
Tan, Y., Hu, Q., Wang, Z., & Zhong, Q. (2018). Geomagnetic Index Kp Forecasting With LSTM. Space Weather, 16(4), 406-416. https://doi.org/10.1002/2017SW001764
Tenfjord, P., Østgaard, N., Strangeway, R., Haaland, S., Snekvik, K., Laundal, K. M., Reistad, J. P., & Milan, S. E. (2017). Magnetospheric response and reconfiguration times following IMF By reversals. Journal of Geophysical Research: Space Physics, 122(1), 417-431. https://doi.org/10.1002/2016JA023018
Tsyganenko, N. A. (1989). A magnetospheric magnetic field model with a warped tail current sheet. Planetary and Space Science, 37(1), 5-20. https://doi.org/10.1016/0032-0633(89)90066-4
Vaheb, H. (2020). Asset Price Forecasting using Recurrent Neural Networks. arXiv preprint arXiv:2010.06417.
Wang, J., Zhong, Q., Liu, S., Miao, J., Liu, F., Li, Z., & Tang, W. (2015). Statistical analysis and verification of 3-hourly geomagnetic activity probability predictions. Space Weather, 13(12), 831-852. https://doi.org/10.1002/2015SW001251
Wing, S., Johnson, J. R., Jen, J., Meng, C.-I., Sibeck, D. G., Bechtold, K., Freeman, J., Costello, K., Balikhin, M., & Takahashi, K. (2005). Kp forecast models. Journal of Geophysical Research: Space Physics, 110(A4). https://doi.org/10.1029/2004JA010500
Wing, S., Newell, P. T., Sibeck, D. G., & Baker, K. B. (1995). A large statistical study of the entry of interplanetary magnetic field Y-component into the magnetosphere. Geophysical Research Letters, 22(16), 2083-2086. https://doi.org/10.1029/95GL02261
Wintoft, P., Wik, M., Matzka, J., & Shprits, Y. (2017). Forecasting Kp from solar wind data: input parameter study using 3-hour averages and 3-hour range values. J. Space Weather Space Clim., 7, A29. https://doi.org/10.1051/swsc/2017027
Xu, F., & Borovsky, J. E. (2015). A new four-plasma categorization scheme for the solar wind. Journal of Geophysical Research: Space Physics, 120(1), 70-100. https://doi.org/10.1002/2014JA020412
Zhang, Y., & Paxton, L. J. (2008). An empirical Kp-dependent global auroral model based on TIMED/GUVI FUV data. Journal of Atmospheric and Solar-Terrestrial Physics, 70(8), 1231-1242. https://doi.org/10.1016/j.jastp.2008.03.008
Zhelavskaya, I. S., Shprits, Y. Y., & Spasojević, M. (2017). Empirical Modeling of the Plasmasphere Dynamics Using Neural Networks. Journal of Geophysical Research: Space Physics, 122(11), 11,227-211,244. https://doi.org/10.1002/2017JA024406 |