An Improved Algorithm for Nowcast of Kp Index
-
摘要: 在评估国际常用Kp指数现报模式Takahashi及其应用于中国地 磁台站效果的基础上, 提出了一种改进的地磁Kp指数现报模式, 其可以 有效识别地磁规则日变化的逐日变化特性, 反映地磁扰动的季节效应和地方时 效应, 从而提升了Kp指数现报的准确性. 采用Takahashi模式开发时所 使用的台站数据进行对比, 新模式将单站地磁Kp指数现报效率由0.77 提升至0.84, 多站联合Kp指数现报效率由0.88提升至0.92; 采用 2000-2006年北京十三陵台站(BMT, 磁纬29°N)数据进 行评估, Kp指数现报效率由0.70提升至0.80. 对Kp指数现 报结果的误差分析发现, 现报误差存在明显的地方时差异和一定的季节差异, 误差随扰动强度变化并在中强磁扰时最大. 利用SuperMAG的指数分析表明, Kp台站的经度不均匀分布会对现报效果造成一定影响.Abstract: The planetary three-hour-range Kp index is widely used in space weather services. Due to the two weeks' time delay of the release of Kp index, the real-time estimation of the Kp index becomes essential for space weather forecasting organizations. In this paper, an improved algorithm for real-time Kp estimation on the basis of Takahashi's procedure was developed. The new algorithm improved the accuracy of Kp estimation by distinguishing the day-to-day variations of geomagnetic field's regular variation and taking account of both the diurnal and seasonal variations of magnetic disturbance. The statistical result shows that the Prediction Efficiency (PE) increased from 0.77 to 0.84 using Fredericksburg's data, from 0.88 to 0.92 using the nine stations network's data. Using the data from Beijing Ming Tombs observatory (BMT) from 2000 to 2006, the PE increased from 0.70 to 0.80 compared with the Takahashi procedure. The error of the estimations differs from universal time, season and the scale of magnetic disturbance. The RMS error reached maximum for Kp=7. Analysis of Kp using the SuperMAG indices indicated that the asymmetric distribution of Kp stations affects the Kp nowcast performance.
-
Key words:
- Kp index /
- Sq index /
- FMI method /
- Nowcast /
- Magnetic disturbance
-
[1] BARTELS J. The Standardized Index, Ks, and the Planetary Index, Kp[M]. Paris: IUGG Publication Office, 1949 [2] BARTELS J, HECK N H, JOHNSTON H F. The three-hour-range index measuring geomagnetic activity[J]. Terr. Mag. Atmos. Elec., 1939, 44(4):411-454 [3] THOMSEN M F. Why Kp is such a good measure of magnetospheric convection[J]. Space Weather, 2004, 2, S11004 [4] GUSSENHOVEN M S, HARDY D A, HEINEMANN N. Systematics of the equatorward diffuse auroral boundary[J]. J. Geophys. Res., 1983, 88(7):5692-5708 [5] MCILWAIN C E. Plasma convection in the vicinity of the geosynchronous orbit[M]//Earth's Magnetospheric Processes. Netherlands: Springer, 1972:268-279 [6] FRIEDEL R H W, KORTH H, HENDERSON M G, et al. Plasma sheet access to the inner magnetosphere[J]. J. Geophys. Res., 2001, 106(4):5845-5858 [7] CAUFFMAN D P, GURNETT D A. Double-probe measurements of convection electric fields with the Injun-5 satellite[J]. J. Geophys. Res., 1971, 76(25):6014-6027 [8] ROWLAND D E, WYGANT J R. Dependence of the large-scale, inner magnetospheric electric field on geomagnetic activity[J]. J. Geophys. Res., 1998, 103(A7):14959-14964 [9] BINSACK J H. Plasmapause observations with the MIT experiment on IMP 2[J]. J. Geophys. Res., 1967, 72(21): 5231-5237 [10] CARPENTER D L, PARK C G. On what ionospheric workers should know about the plasmapause-plasmasphere[J]. Rev. Geophys., 1973, 11(1):133-154 [11] HEPPNER J P. High latitude electric fields and the modulations related to interplanetary magnetic field parameters[J]. Radio Sci., 1973, 8(11):933-948 [12] ALCAYDE D, CAUDAL G, FONTANARI J. Convection electric fields and electrostatic potential over 61°<< 72° invariant latitude observed with the European Incoherent Scatter Facility: 1. Initial results[J]. J. Geophys. Res., 1986, 91(1):233-247 [13] Wing S, Johnson J R, Jen J, et al. Kp forecast models[J]. J. Geophys. Res., 2005, 110, A04203 [14] BOBERG F, WINTOFT P, LUNDSTEDT H. Real time Kp prediction from solar wind data using neural networks [J]. Phys. Chem. Earth., 2000, 25(4):275-280 [15] BALA R, REIFF P H, LANDIVAR J E. Real-time prediction of magnetosphere activity using the Boyle index[J]. Space Weather, 2009, 7, S04003 [16] Takahashi K, Toth B A, Olson J V. An automated procedure for near-real-time Kp estimates[J]. J. Geophys. Res., 2001, 106(A10):21017-21032 [17] MENVIELLE M, PAPITASHVILI N, HÄKKINEN L, et al. Computer production of K indices: review and comparison of methods[J]. Geophys. J. Intern., 1995, 123(3): 866-886 [18] CHAPMAN S, BARTELS J. Geomagnetism[M]. London: Oxford University Press, 1940 [19] MAYAUD P N. Atlas of Indices K[M]. Paris: IUGG Publication Office, 1967 [20] XU Wenyao. Day-to-day variability of the Sq dynamo currents and Sq index[J]. Chin. J. Geophys., 1992, 35(6): 676-684 (徐文耀. Sq发电机电流的逐日变化和Sq指数[J]. 地球物理学报, 1992, 35(6):676-683) [21] KIRCHHOFF V W J H, CARPENTER L A. The day-to-day variability in ionospheric electric fields and currents[J]. J. Geophys. Res., 1976, 81(16):2737-2742 [22] WU Yingyan, XU Wenyao, CHEN Gengxiong. Analysis of the periodical characteristics of Sq index[J]. Chin. J. Geophys., 2012, 55(3):953-959 (吴迎燕, 徐文耀, 陈耿雄. Sq指数的周期变化分析[J]. 地球物理学报, 2012, 55(3):953-959) [23] OLSON W P. Introduction to the topology of magnetospheric current systems[J]. Geophys. Monogr. Ser., 1984, 28:49-62 [24] TAKEDA M. Day-to-day variation of equivalent Sq current system during March 11-16, 1970[J]. J. Geomagn. Geoelec., 1984, 36(5):215-228 [25] XU W Y. Effects of the magnetospheric currents on the Sq-field and a new magnetic index characterizing Sq dynamo current intensity[J]. J. Geomagn. Geoelec., 1992, 44(3):449-458 [26] GJERLOEV J W. The SuperMAG data processing technique[J]. J. Geophys. Res., 2012, 117, A09213 [27] YANG M L, LIU C M, YE D H. Preliminary study of computing K index with FMI method[J]. Seismol. Geom. Obs. Res., 2004, 25(2):55-61(杨马陵, 刘昌谋, 叶东华. FMI方法计算地磁K指数的初步研究[J]. 地震地磁观测与研究, 2004, 25(2):55-61) [28] BITTERLY M, MENVIELLE M, BITTERLY J, et al. A comparison between computer derived (FMI method) and hand-scaled K indices at Port Aux Francis and Port Alfred French observatories[C]//Proceeding of the International Workshop on Geomagnetic Instrument, Data Acquisition and Processing. Bruxelles: Académie Royale de Belgique, 1997:136-143 [29] PIRJOLA R, RYNO J, SUCKSDORFF C. Computer production of K-indices by a simple method based on linear elimination[C]//Proceeding of the International Workshop on Geomagnetic Observatory Data Acquisition and Processing, 1990:136-146 [30] SUCKSDORFF C, PIRJOLA R, HÄKKINEN L. Computer production of K-values based on linear elimination[J]. Geophys. Trans., 1991, 36:333-345 [31] BAKER D N, KLIMAS A J, MCPHERRON R L, et al. The evolution from weak to strong geomagnetic activity: An interpretation in terms of deterministic chaos[J]. Geophys. Res. Lett., 1990, 17(1):41-44 [32] SVALGAARD L. Recalibration of Bartels' geomagnetic activity indices Kp and ap to include universal time variations[J]. J. Geophys. Res., 1976, 81(28):5182-5188 [33] NEWELL P T, GJERLOEV J W. Evaluation of SuperMAG auroral electrojet indices as indicators of substorms and auroral power[J]. J. Geophys. Res., 2011, 116, A12211 [34] NEWELL P T, GJERLOEV J W. SuperMAG-based partial ring current indices[J]. J. Geophys. Res., 2012, 117, A05215 -
-
计量
- 文章访问数: 2664
- HTML全文浏览量: 359
- PDF下载量: 1335
-
被引次数:
0(来源:Crossref)
0(来源:其他)
下载: