Comparison between SUPIM simulations and measured TEC for the January, 1997 storm

MacPherson, B.; González, S. A.; Pi, Xiaoqing; Kelley, M. C.; Bailey, G. J.; Sulzer, M. P.; Hajj, G. A.; Buonsanto, M. J.; Wang, C.

doi:10.1029/2000gl000026

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…We also see other periods of enhancements (e.g., January 21), but these periods do not persist in time. Even though we are not including the topside electron density contribution, we believe the F-region densities we are using, are good proxies of the TEC behavior during this period [e.g., MacPherson et al, 2000]. As we see later, the TEC obtained from GPS also show similar features.…”

Section: Incoherent Scatter Radar Parametersmentioning

confidence: 85%

Quiet time ionospheric variability over Arecibo during sudden stratospheric warming events

et al. 2010

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[1] We present observations of the F-region ionosphere over Arecibo, Puerto Rico (18.34°N, 66.75°W), during the January-February 2008 and January-February 2009 sudden stratospheric warming (SSW) events. For the first period (2008), we have used incoherent scatter radar (ISR) electron density and temperature measurements from the Arecibo Observatory (AO), as well as relative total electron content (TEC) derived from a dual-frequency GPS receiver. For the second event (2009), during which we observed the largest recorded stratospheric warming, we have used the relative GPS TEC. Our analysis indicates that the ionosphere over Arecibo exhibits perturbations after the SSW, the effects are most visible during the daytime. The strongest signatures are observed in the TEC measurements, represented by large enhancements (with respect to non SSW days), particularly during daytime hours. However, the local time dependence of these enhancements is not the same in the two events. In addition, the data show that our results are consistent with the larger than normal daytime vertical drift differences observed at the magnetic equator over Jicamarca. The electron temperature is also affected during the daytime due to changes in electron density, indicating that the electron temperatures is influenced, indirectly, by changes in planetary wave activity in the lower altitudes.Citation: Chau, J. L., N. A. Aponte, E. Cabassa, M. P. Sulzer, L. P. Goncharenko, and S. A. González (2010), Quiet time ionospheric variability over Arecibo during sudden stratospheric warming events,

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Section: Incoherent Scatter Radar Parametersmentioning

confidence: 85%

Quiet time ionospheric variability over Arecibo during sudden stratospheric warming events

et al. 2010

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“…Although the protonospheric contribution to TEC is mostly noticeable at mid latitudes and during solar maximum, it is worthwhile to mention that a small amount of the TEC estimated for PP may has build in a protonospheric contribution not present in the ionospheric electron content (IEC). MacPherson et al (2000) found a remarkable plasmaspheric contribution over Arecibo on a magnetically disturbed period (Jan. 9-10, 1997, Dst index of -78 nT). On the other hand, Makela et al (2000) argue that for summer conditions, the plasmaspheric contribution to the TEC is of the order of 20%.…”

Section: Resultsmentioning

confidence: 92%

“…On the other hand, Makela et al (2000) argue that for summer conditions, the plasmaspheric contribution to the TEC is of the order of 20%. MacPherson et al (2000) believe that the reason for such differences in plasmaspheric contributions is a seasonal effect driven by the relative changes in the topside ion densities which are reversed from winter to summer.…”

Section: Resultsmentioning

confidence: 99%

GPS Total Electron Content measurements at low latitudes in Brazil for low solar activity

Costa¹,

Williams

Bôas³

et al. 2004

GeofInt

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Se calcularon las variaciones del número total de electrones en la ionosfera (TEC) usando datos de GPS, obtenidos en la estación de baja latitud de Presidente Prudente, Brasil (22.1° S; 51.4° W) en 1997, un periodo de baja actividad solar. Se presentan dos promedios horarios durante este periodo. Se discuten las variaciones diarias, estacionales, debidas a la actividad solar y la Anomalía Ecuatorial. Los promedios diurnos de TEC se comparan con las predicciones del modelo IRI-95 para los meses de los equinoccios y los solsticios y se muestra que IRI-95 sistemáticamente sobreestima los valores observados. Los aumentos prenocturnos de TEC se observaron durante todo el año excepto en mayo y junio. Los valores de TEC medidos reproducen la misma tendencia general de los valores TEC observados en Cachoeira Paulista, Brasil (22.5° S; 45° W). El efecto "fuente" parece ser más efectivo en Presidente Prudente debido a su menor latitud magnética. La correlación entre los valores experimentales de TEC y el flujo solar durante la baja actividad (62 < F10.7 < 116 unidades de flujo) enfatiza que el modelo IRI para bajas latitudes y periodos de baja actividad solar es inadecuado. Los resultados aquí presentados son los primeros obtenidos usando la técnica TEC-GPS sobre la parte suroeste de Brasil.

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“…Our research efforts on ionospheric data assimilation began in 1996 as a collaborative research project involving the Jet Propulsion Laboratory (JPL), University of Southern California (USC), Cornell University, and University of Sheffield. As an exploratory research project, our goal was to explore the feasibility of combining ground and space‐based GPS total electron current (TEC) measurements with the theoretical Sheffield Plasmaspheric and Ionospheric Model (SUPIM) [ Bailey and Sellek , 1990; MacPherson et al , 2000] to produce ionospheric specifications and forecasts. In 1999 a MURI project supported the development of the Global Assimilative Ionospheric Model (GAIM) by two consortia, one led by USC/JPL and the other led by Utah State University.…”

Section: Introductionmentioning

confidence: 99%

Development of the Global Assimilative Ionospheric Model

Wang

Hajj²,

Pi³

et al. 2004

Radio Science

134

128

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[1] This paper provides an overview of the development of the Global Assimilative Ionospheric Model (GAIM) by a team of investigators from the University of Southern California (USC) and the Jet Propulsion Laboratory (JPL). The USC/JPL GAIM utilizes data assimilation techniques, which are widely used in meteorological applications, for the purpose of monitoring and forecasting Earth's ionosphere. We discuss the general structure of GAIM, which includes a first-principles model of the ionosphere, a series of auxiliary models for the driving forces, a data processing subsystem, and an optimization subsystem. Two techniques for the estimation of electron density and driving forces in the ionosphere are presented: The four-dimensional variational method and the Kalman filter. Some validation methods and results are also presented. These results demonstrate the potential of GAIM in providing accurate specification of the ionosphere.

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Comparison between SUPIM simulations and measured TEC for the January, 1997 storm

Cited by 6 publications

References 8 publications

Quiet time ionospheric variability over Arecibo during sudden stratospheric warming events

Quiet time ionospheric variability over Arecibo during sudden stratospheric warming events

GPS Total Electron Content measurements at low latitudes in Brazil for low solar activity

Development of the Global Assimilative Ionospheric Model

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