Abstract
During extreme ionospheric storms, anomalous ionospheric gradients can become high enough to affect Global Navigation Satellite Systems (GNSS) Ground-Based Augmentation Systems (GBAS) and to threaten the safety of GBAS users. An ionospheric anomaly threat model for the Conterminous United States (CONUS) was developed based on extreme ionospheric gradients observed in CONUS during the last solar maximum period (2000–2004). However, in order to understand and mitigate ionosphere threats occurring in different geographical regions, ionospheric anomaly threat models have to be established for the relevant regions. To allow the certification of a GBAS ground facility in South Korea, a Korean ionospheric anomaly threat model must be determined. We describe the method of data analysis that was used to estimate ionospheric spatial gradients. Estimates of anomalous gradients in the Korean region were used to define and build an ionospheric anomaly threat model for this region. All gradient estimates obtained using Korean GNSS reference network data for potential ionospheric storm dates from 2000 to 2004 were included in this threat space. The maximum spatial gradient within this threat space is 160 mm of delay per km of user separation, which falls well within the bounds of the current ionospheric threat model for CONUS. We also provide a detailed examination of the two largest ionospheric spatial gradient events observed in this study, which occurred on November 10, 2004, and November 6, 2001, respectively.
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References
Datta-Barua S, Lee J, Pullen S, Luo M, Ene A, Qiu D, Zhang G, Enge P (2010) Ionospheric threat parameterization for local area Global-Positioning-System-based aircraft landing systems. J Aircraft 47(4):1141–1151. doi:10.2514/1.46719
Ene A, Qiu D, Luo M, Pullen S, Enge P (2005) A comprehensive ionosphere storm data analysis method to support LAAS threat model development. In: Proceedings of ION NTM-2005, Institute of Navigation, San Diego CA, pp 110–130
Hernández-Pajares M, Juan JM, Sanz J, Orus R, Garcia-Rigo A, Feltens J, Komjathy A, Schaer SC, Krankowski A (2009) The IGS VTEC maps: a reliable source of ionospheric information since 1998. J Geod 83(3–4):263–275. doi:10.1007/s00190-008-0266-1
Jung S, Lee J (2012) Long-term ionospheric anomaly monitoring for ground based augmentation systems. Radio Sci 47:RS4006. doi:10.1029/2012RS005016
Komjathy A, Sparks L, Mannucci AJ (2004) A new algorithm for generating high precision ionospheric ground-truth measurements for FAA’s Wide Area Augmentation System. JPL Supertruth Document 1, Jet Propulsion Laboratory, Pasadena
Komjathy A, Sparks L, Wilson BD, Mannucci AJ (2005) Automated daily processing of more than 1000 ground-based GPS receivers for studying intense ionospheric storms. Radio Sci 40:RS6006. doi:10.1029/2005RS003279
Lee J, Pullen S, Datta-Barua S, Enge P (2007) Assessment of ionosphere spatial decorrelation for Global Positioning System-based aircraft landing systems. J Aircraft 44(5):1662–1669. doi:10.2514/1.28199
Lee J, Datta-Barua S, Zhang G, Pullen S, Enge P (2011a) Observations of low-elevation ionospheric anomalies for ground-based augmentation of GNSS. Radio Sci 46:RS6005. doi:10.1029/2011RS004776
Lee J, Seo J, Par YS, Pullen S, Enge P (2011b) Ionospheric threat mitigation by geometry screening in Ground-Based Augmentation Systems. J Aircraft 48(4):1422–1433. doi:10.2514/1.C031309
Ma G, Maruyama T (2003) Derivation of TEC and estimation of instrumental biases from GEONET in Japan. Ann Geophys 21:2083–2093. doi:10.5194/angeo-21-2083-2003
Mannucci AJ, Tsurutani BT, Iijima B, Komjathy A, Wilson B, Pi X, Sparks L, Hajj G, Mandrake L, Gonzalez WD, Kozyra J, Yumoto K, Swisdak M, Huba JD, Skoug R (2013) Hemispheric daytime ionospheric response to intense solar wind forcing. In: Burch J, Schulz M, Spence H (eds) Inner magnetosphere interactions: new perspectives from imaging. American Geophysical Union, Washington, DC. doi:10.1029/159GM20
Mayer C, Belabbas B, Jakowski N, Meurer M (2009) Ionosphere threat space model assessment for GBAS. In: Proceedings of ION GNSS-2009, Institute of Navigation, Savannah, pp 1091–1099
Nishioka M, Saito A, Tsugawa T (2009) Super-Medium-Scale Traveling Ionospheric Disturbance observed at midlatitude during the geomagnetic storm on 10 November 2004. J Geophys Res 114:A07310. doi:10.1029/2008JA013581
Pullen S, Park YS, Enge P (2009) Impact and mitigation of ionospheric anomalies on ground-based augmentation of GNSS. Radio Sci 44:RS021. doi:10.1029/2008RS004084
Sahai Y, Becker-Guedes F, Fagundes PR, de Jesus R, de Abreu AJ, Otsuka Y, Shiokawa K, Igarashi K, Yumoto K, Huang C-S, Lan HT, Saito A, Guarnieri FL, Pillat VG, Bittencourt JA (2009) Effects observed in the ionospheric F region in the east Asian sector during the intense geomagnetic disturbances in the early part of November 2004. J Geophys Res 114:A00A18. doi:10.1029/2008JA013053
Seo J, Lee J, Pullen S, Enge P, Close S (2012) Targeted Parameter inflation within ground-based augmentation systems to minimize anomalous ionospheric impact. J Aircraft 49(2):587–599
Yoon M, Lee J (2014) Medium-scale Travelling Ionospheric Disturbances in the Korean Region on 10 November 2004: potential impact on GPS-Based navigation systems. Space Weather 12:173–186. doi:10.1002/2013SW001002
Acknowledgments
The authors thank the National Geographic Information Institute (NGII), the DCO, and the KASI, for providing the Korean GPS observation data. The authors are also grateful to the Space Weather Prediction Center (SWPC) of the NOAA and the World Data Center for Geomagnetism at Kyoto University for the geomagnetic index data. The GIM was made available by the International GNSS Service (IGS), a service of the International Association of Geodesy and of the Federation of Astronomical and Geophysical Data Analysis Services. Minchan Kim was supported by MLTM under Grant 10AVI-NAV01.
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Kim, M., Choi, Y., Jun, HS. et al. GBAS ionospheric threat model assessment for category I operation in the Korean region. GPS Solut 19, 443–456 (2015). https://doi.org/10.1007/s10291-014-0404-6
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DOI: https://doi.org/10.1007/s10291-014-0404-6