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Performance of GPS slant total electron content and IRI-Plas-STEC for days with ionospheric disturbance 被引量:1

Performance of GPS slant total electron content and IRI-Plas-STEC for days with ionospheric disturbance
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摘要 Total Electron Content (TEC) is an important observable parameter of the ionosphere which forms the main source of error for space based navigation and positioning systems. Since the deployment of Global Navigation Satellite Systems (GNSS), cost-effective esti- mation of TEC between the earth based receiver and Global Positioning System (GPS) sat- ellites became the major means of investigation of local and regional disturbance for earthquake precursor and augmentation system studies. International Reference Iono- sphere (IRI) extended to plasmasphere (IRI-Plas) is the most developed ionospheric and plasmaspheric climatic model that provides hourly, monthly median of electron density distribution globally. Recently, IONOLAB group {www.ionolab.org) has presented a new online space weather service that can compute slant TEC (STEC) on a desired ray path for a given date and time using IRI-Plas model (IRI-Plas-STEC). In this study, the performance of the model based STEC is compared with GPS-STEC computed according to the estimation method developed by the IONOLAB group and includes the receiver bias as IONOLAB-BIAS (IONOLAB-STEC). Using Symmetric Kullback-Leibler Distance (SKLD), Cross Correlation (CC) coefficient and the metric norm (L2N) to compare IRI-Plas-STEC and IONOLAB-STEC for the month of October 2011 over the Turkish National Permanent GPS Network (TNPGN- Active), it has been observed that SKLD provides a good indicator of disturbance for both earthquakes and geomagnetic storms. Total Electron Content (TEC) is an important observable parameter of the ionosphere which forms the main source of error for space based navigation and positioning systems. Since the deployment of Global Navigation Satellite Systems (GNSS), cost-effective esti- mation of TEC between the earth based receiver and Global Positioning System (GPS) sat- ellites became the major means of investigation of local and regional disturbance for earthquake precursor and augmentation system studies. International Reference Iono- sphere (IRI) extended to plasmasphere (IRI-Plas) is the most developed ionospheric and plasmaspheric climatic model that provides hourly, monthly median of electron density distribution globally. Recently, IONOLAB group {www.ionolab.org) has presented a new online space weather service that can compute slant TEC (STEC) on a desired ray path for a given date and time using IRI-Plas model (IRI-Plas-STEC). In this study, the performance of the model based STEC is compared with GPS-STEC computed according to the estimation method developed by the IONOLAB group and includes the receiver bias as IONOLAB-BIAS (IONOLAB-STEC). Using Symmetric Kullback-Leibler Distance (SKLD), Cross Correlation (CC) coefficient and the metric norm (L2N) to compare IRI-Plas-STEC and IONOLAB-STEC for the month of October 2011 over the Turkish National Permanent GPS Network (TNPGN- Active), it has been observed that SKLD provides a good indicator of disturbance for both earthquakes and geomagnetic storms.
出处 《Geodesy and Geodynamics》 2016年第1期1-10,共10页 大地测量与地球动力学(英文版)
基金 supported by the joint grants of TUBITAK 112E568 and RFBR 13-02-91370-CT_a and TUBITAK 114E092 Atmospheric Sciences Institute Czech Republic(AS CR) 14/001 projects
关键词 IonosphereTotal Electron Content (TEC)GPSIRI-Plas IonosphereTotal Electron Content (TEC)GPSIRI-Plas
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  • 1Budden KG. The ionosphere and magnetosphere. In: The propagation of radio waves. Ist ed. Cambridge: Cambridge University Press; 1988. p. 1-20.
  • 2Feynman J, Gabriel SB. On space weather consequences and predictions. J Geophys Res 2000;I05(A5):I0543-64. http:// dx.doi.org/10. I029/1999JA000141.
  • 3Jin S,/in R, Li JH. Pattern and evolution of seismo-ionospheric disturbances following the 2011 Tohoku earthquakes from GPS observations. J Geophys Res 2014;I19(9):7914-27. http:// dx.doi.org/10. I002/2014JA019825.
  • 4Jin S, Luo OF, Park P. GPS observations of the ionospheric F2- layer behavior during the 20th November 2033 geomagnetic storm over South Korea. J Geodesy 2008;82(12):883-92. http:// dx.doi.org/10.lOO7/sOOl90-OO8-O217-x.
  • 5Jin S, Occhipinti G, Jin R. GNSS ionospheric seismology: Recent observations evidences and characteristics. Earth-Sci Rev 2015;147:54-64. http://dx.doi.org/10.1016/ j.earscirev.2015.05.003.
  • 6Tuna H, Arikan O, Arikan F. Regional model-based computerized ionospheric tomography using GPS measurements: IONOLAB-CIT. Radio Sci 2015;50(I0):I062-75. http://dx.doi.org/lO.lOO2/2015RSO05744.
  • 7Davies K, Hartmann GK. Studying the ionosphere with the Global Positioning System. Radio Sci 1997;32(4):1695-703. http://dx.doi.org/lO.lO29/97RSO0451.
  • 8Schaer S. Mapping and predicting the Earth's ionosphere using the global positioning system. Bern Switzerland: Univ of Bern; 1999 [PhD thesisJ.
  • 9Arikan F, Erol CB, Arikan O. Regularized estimation of vertical total electron content from Global Positioning System data. J Geophys Res 2003;108(A12). http://dx.doi.org/ 10.1029/2002JA009605.
  • 10Bilitza D. International reference ionosphere 2000. Radio Sci 2001;36(2):261-75. http://dx.doi.org/10.1029/2000RS002432.

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