Using the GPS observations to reconstruct the ionosphere three-dimensionally with an ionospheric data assimilation and analysis system (IDAAS)
Source abstract
Abstract
Using an international reference ionosphere (IRI) model as a background ionosphere and applying the Kalman filter to update the state with observations, we develop an ionosphere data assimilation analysis system (IDAAS) to reconstruct a three-dimensional (3D) ionosphere with the GPS slant TEC and ionosonde data over east-south Asia. The preliminary results with the GPS data collected over east-south Asia on 30 June 2005 showed that inversed slant TEC has very good correlation with the observations both for the GPS sites being and not being involved in reconstruction. The inversed NmF2 and vertical TEC both demonstrate great improvement of agreement with those observed from ionosondes and TOPEX satellite independently.
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Research context
OpenAlex topics: Ionosphere and magnetosphere dynamics · Earthquake Detection and Analysis · GNSS positioning and interference
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (51)
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1. Lanyi G E, Roth T. A comparison of mapped and measured total ionospheric electron content using global positioning system as beacon satellite observations. Radio Sci, 1988, 23: 483–49210.1029/RS023i004p00483 ↗
2. Ho C M, Mannucci A J, Lindqwister U J, et al. Global ionospheric perturbations monitored by the worldwide GPS network. Geophys Res Lett, 1996, 23: 3219–322210.1029/96GL02763 ↗
3. Wan W X, Ning B Q, Yuan H, et al. TID observation using a short baseline network of GPS receivers. Acta Geodyn Geophys Hung, 1997, 32: 321–32710.1007/BF03325503 ↗
4. Yu T, Mao T, Wang Y G, et al. Study of the ionospheric anomaly before the Wenchuan earthquake. Chin Sci Bull, 2009, 54: 1086–109210.1360/csb2009-54-8-1086 ↗
5. Zhao B, Wang M, Yu T, et al. Is an unusual large enhancement of ionospheric electron density linked with the 2008 great Wenchuan earthquake. J Geophys Res, 2008, 113: A1130410.1029/2008JA013613 ↗
6. Mao T, Wang J S, Yang G L, et al. Effects of typhoon Matsa on ionospheric TEC. Chin Sci Bull, 2009, 54: 3858–386310.1360/csb2009-54-24-3858 ↗
7. Le H, Liu J Y, Liu L. A statistical analysis of ionospheric anomalies before 736 M6.0+ earthquakes during 2002–2010. J Geophy Res, 2011, 116: doi:10.1029/2010JA015781
8. Le H, Liu L, Liu J Y, et al. The ionospheric anomalies prior to the M9.0 Tohoku-Oki earthquake. J Asian Earth Sci, 2013, 62: 476–48410.1016/j.jseaes.2012.10.034 ↗
9. Hao Y Q, Xiao Z, Zhang D H. Multi-instrument observation on co-seismic ionospheric effects after great Tohoku earthquake. J Geophys Res, 2012, 117: A02305
10. Xu W Y, Du A M. Energy budget of the magnetosphere-ionosphere system in solar Cycle 23. Sci China Tech Sci, 2012, 55: 1184–118810.1007/s11431-012-4809-6 ↗
11. Xing Z Y, Yang H G, Han D S, et al. Dayside poleward moving auroral forms and ionospheric convection under stable interplanetary magnetic field (IMF) conditions. Sci China Tech Sci, 2013, 56: 910–91610.1007/s11431-013-5164-y ↗
12. Feltens J, Iono W G. Status report and outlook Position paper. In: Tetreault P, Gowey K T, Neilan R E, eds. IGS Network, Data and Analysis Center Workshop 2002. Ottawa, 2002
13. Hernandez-Pajares M. Summary and current status of IGS ionosphere WG activities, on behalf of IGS ionosphere W G, presented at IGS Workshop 2006. Darmstadt, 2006
14. Wilson B D, Mannucci A J, Edwards C D. Subdaily northern hemisphere maps using an extensive network of GPS receivers. Radio Sci, 1995, 30: 63910.1029/94RS03186 ↗
15. Mannucci A, Wilson B, Yuan D, et al. A global mapping technique for GPS-derived ionospheric total electron content measurements. Radio Sci, 1998, 33: 565–58210.1029/97RS02707 ↗
16. Mannucci A J, Iijima B A, Lindqwister U J, et al. GPS and ionosphere. In: Ross-Stone W, ed. URSI Reviews of Radio Science, International Union of Radio Scientists, 1999
17. Schaer S. Mapping and predicting the Earth’s ionosphere using the global positioning system. Dissertation of Doctoral Degree. Berne: University of Berne, 1999
18. Juan J M, Rius A, Hernandez-Pajares M, et al. A two-layer model of the ionosphere using global positioning system data. Geophys Res Lett, 1997, 24: 393–39610.1029/97GL00092 ↗
19. Hernandez-Pajares M, Juan J M, Sanz J, et al. Global observation of the ionospheric electronic response to solar events using ground and LEO GPS data. J Geophys Res, 1998, 103: 20789–2079610.1029/98JA01272 ↗
20. Hernandez-Pajares M, Juan J M, Sanz J. New approaches in global ionospheric determination using ground GPS data. J Atmos Sol-Terr Phy, 1999, 61: 1237–124710.1016/S1364-6826(99)00054-1 ↗
21. Hernandez-Pajares M, Juan J M, Sanz J, et al. Improving the real-time ionospheric determination from GPS sites at very long distances over the equator. J Geophys Res, 2002, 107: 1296–130710.1029/2001JA009203 ↗
22. Bust G S, Garner T W, Gaussiran T L II. Ionospheric data assimilation three-dimensional (IDA3D): A global, multisensor, electron density specification algorithm. J Geophys Res, 2004, 109: A1131210.1029/2003JA010234 ↗
23. Nicolls M J, Rodrigues F S, Bust G S, et al. Estimating E region density profiles from radio occultation measurements assisted by IDA4D. J Geophys Res, 2009, 114: A1031610.1029/2009JA014399 ↗
24. Schunk R W. Global assimilation of ionospheric measurements (GAIM). Radio Sci, 2004, 39, RS1S0210.1029/2002RS002794 ↗
25. Fuller-Rowell T, Araujo-Pradere E, Minter C, et al. US-TEC: A new data assimilation product from the Space Environment Center characterizing the ionospheric total electron content using real-time GPS data. Radio Sci, 2006, 41: RS600310.1029/2005RS003393 ↗
26. Thompson D C, Scherliess L, Sojka J J, et al. The Utah State University Gauss-Markov Kalman filter of the ionosphere: The effect of slant TEC and electron density profile data on model fidelity. J Atmos Sol-Terr Phy, 2006, 68: 947–95810.1016/j.jastp.2005.10.011 ↗
27. Hajj G A, Wilson B D, Wang C, et al. Data assimilation of ground GPS total electron content into a physics-based ionospheric model by use of the Kalman filter. Radio Sci, 2004, 39: RS1S05
28. Mitchell C N, Spencer P S J. A three dimensional time-dependent algorithm for ionospheric imaging using GPS. Ann Geophys, 2003, 46: 687–696
29. Bouttier F, Courtier P. Data assimilation concepts and methods. Meteorological Training Course Lecture Series, ECMWF, 1999
30. Daley R. Atmospheric Data Analysis. New York: Cambridge Univ Press, 1991. 457
31. Bilitza D. International reference ionosphere 2000. Radio Sci, 2001, 36: 261–27510.1029/2000RS002432 ↗
32. Roble R G, Ridley E C, Richmond A D, et al. A coupled thermosphere/ ionosphere general circulation model. Geophys Res Lett, 1988, 15: 1325–132810.1029/GL015i012p01325 ↗
33. Wang W, Killeen T L, Burns A G, et al. A high-resolution, three-dimensional, time dependent, nested grid model of the coupled thermosphere-ionosphere. J Atmos Sol-Terr Phys, 1999, 61: 385–39710.1016/S1364-6826(98)00079-0 ↗
34. Parrish D F, Derber J D. The National Meteorological Center’s spectral stastical interpolation analysis system. Mon Wea Rev, 1992, 120: 1747–176310.1175/1520-0493(1992)120<1747:TNMCSS>2.0.CO;2 ↗
35. Patrick A N, Reinisch B W, Huang X Q, et al. Comparing topside and bottomside-measured characteristics of the F2 layer peak. Adv Space Res, 2010, 46: 974–98310.1016/j.asr.2010.06.027 ↗
36. Quan K H, Dai K L, Luo F G, et al. Comparison of observed foF2 and M(3000)F2 with International Reference Ionosphere (IRI-86). Radio Sci, 1992: 7-1, 53–61
37. Dai K L, Quan K H, Luo F G, et al. Comparison of IRI with ionosphere observed in China. Adv Space Res, 1993, 13-3: 57–59
38. Liu R Y, Quan K H, Dai K L, et al. Study of the reference ionosphere in Chinese region. International Symposium on Radio Propagation. ISRP 93, Beijing, 1993
39. Jin S G, Park J U. GPS ionospheric tomography: A comparison with the IRI-2001model over South Korea. Earth Planets Space, 2007, 59: 287–29210.1186/BF03353106 ↗
40. Angling M J, Cannon P S. Assimilation of radio occultation measurements into background ionospheric models. Radio Sci, 2004, 39, RS1S0810.1029/2002RS002819 ↗
41. Mandrake L, Wilson B, Wang C, et al. A performance evaluation of the operational Jet Propulsion Laboratory/University of Southern California Global Assimilation Ionospheric Model (JPL/USC GAIM). J Geophys Res, 2005, 110: A1230610.1029/2005JA011170 ↗
42. Rush C M. An ionospheric observation network for use in short-term propagation predictions. Telecomm J, 1976, 43: 544–549
43. Gail W B, Prag A B, Coco D S, et al. A statistical characterization of local mid-latitude total electron content. J Geophys Res, 1993, 98: 15717–1572810.1029/92JA01597 ↗
44. Bust G S, Coker C, Coco D, et al. IRI data ingestion and ionospheric tomography. Adv Space Res, 2001, 27: 157–16510.1016/S0273-1177(00)00163-0 ↗
45. Yue X, Wan W, Liu L, et al. Statistical analysis on spatial correlation of ionospheric day-to-day variability by using GPS and Incoherent Scatter Radar observations. Ann Geophys, 25: 1815–182510.5194/angeo-25-1815-2007 ↗
46. Yu X, Wan W X, Liu L B, et al. A study of correlation distance of the day to day variability of F2 layer peak electron density over Europe. Chin J Geophys, 2007, 50: 1283–128810.1002/cjg2.1147 ↗
47. Yue X. Modeling and data assimilation of mid and low-latitude ionosphere. Dissertation for Doctoral Degree. Beijing: Chinese Academy of Sciences, 2008
48. Chong X, Zhang M L, Zhang S R. An investigation on plasmaspheric electron content derived from ISR and GPS observations at Millstone Hill (in Chinese). Chin J Geophys, 2013, 56: 738–745
49. Kalnay E. Atmospheric Modeling, Data Assimilation and Predictability. London: Camberwell Press, 2003
50. Tsugawa T, Shiokawa K, Otsuka Y, et al. Geomagnetic conjugate observations of large-scale traveling ionospheric disturbances using GPS networks in Japan and Australia. J Geophys Res, 2006, 111: A02302
51. Tsugawa T, Kotake N, Otsuka Y, et al. Medium-scale traveling ionospheric disturbances observed by GPS receiver network in Japan: A short review. GPS Solutions, 2007, 11: 139–14410.1007/s10291-006-0045-5 ↗