The ionosphere over Alaska during a storm period in October 2003: Radio tomography and data obtained with GAIM/IFM ionospheric models

Andreeva, Elena; Куницын, В. Е.; Leonyeva, E. A.; Fedyunin, Yu. N.

doi:10.3103/s0027134909010196

Cited by 3 publications

(3 citation statements)

References 5 publications

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“… Horvath [2007] and Andreeva et al [2009] are two examples of published scientific publications that used results generated from running IT models at the CCMC. Horvath [2007] made use of the CTIP model [ Codrescu et al , 2008, and references therein] to study the nighttime response of ionosphere to geomagnetic storms, focusing on the Weddell Sea Anomaly.…”

Section: Ionosphere‐thermosphere Models At the Ccmcmentioning

confidence: 99%

“…By combining results from CTIP with multiinstrument data measurements, it was shown that equatorward winds generated downwellings and the O/N 2 ratio showed changes in the neutral atmospheric composition. Andreeva et al [2009] compared USU‐GAIM model [ Schunk et al , 2004] results with ionospheric radio tomographic cross sections in Alaska during an October 2003 geomagnetic storm, with one of the main results being that GAIM was observed to diverge from the observed tomographic data with increasing strength of ionospheric disturbances. It should also be noted that the authors of Andreeva et al [2009] are based in Russia, which highlights the international aspect of CCMC user base, whom are not solely restricted to the United States, where the CCMC is located.…”

Section: Ionosphere‐thermosphere Models At the Ccmcmentioning

confidence: 99%

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Ionosphere‐thermosphere models at the Community Coordinated Modeling Center

et al. 2009

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[1] One of the ways to address the science needs of the research community and to enable science progress is to provide community access to modern space science models. The Community Coordinated Modeling Center (CCMC) is a multiagency partnership based at the Goddard Space Flight Center that hosts a set of state-of-the-art space science models ranging from the solar atmosphere to the Earth's upper atmosphere. The CCMC provides a Web-based, no-cost, Runs on Request system, by which the interested scientist can readily request simulations for time intervals of interest. CCMC also provides a tailored Web-based visualization interface for the model output, including near-real-time results from select models. Model outputs have been specifically tailored for easy comparison with observational data to facilitate data analysis and model validation. This paper provides an overview of CCMC activities, with an emphasis on the ionospherethermosphere models residing there.

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Section: Ionosphere‐thermosphere Models At the Ccmcmentioning

confidence: 99%

Section: Ionosphere‐thermosphere Models At the Ccmcmentioning

confidence: 99%

Ionosphere‐thermosphere models at the Community Coordinated Modeling Center

et al. 2009

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“…The present deployment of Global navigation satellite systems (GNSS) receivers, both on ground and onboard satellites, and forthcoming new GNSS satellite constellations are opening a new era for ionosphere imaging by greatly increasing the amount of available data for retrieval of time varying three-dimensional electron density distributions (Garcia and Crespon 2008). In recent years, there have been several reconstructions of the ionospheric electron density distributions based on the GNSS observations (Hansen et al 1997;Rius et al 1997;Hernandez-Pajares et al 1998;Howe et al 1998;Bust et al 2000;Liu and Gao 2001;Yin et al 2004;Jin and park 2007;Wen 2007;Wen et al 2007bWen et al , c, 2008Andreeva et al 2009;Lee and Kamalabadi 2009).…”

Section: Introductionmentioning

confidence: 97%

Tomographic reconstruction of ionospheric electron density based on constrained algebraic reconstruction technique

2010

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A constrained algebraic reconstruction technique (CART) is proposed for the tomographic reconstruction of the ionospheric electron density distribution. The method uses a popular two-dimensional multi-point finite difference approximation of the second order Laplace operator to provide the constraint matrix. The tomographic results of a numerical simulation show that the reconstruction accuracy of electron density distribution is significantly improved. A careful validation of the reliability and superiority of CART is made. Finally, we applied the new method to the analysis of actual Global Navigation Satellite Systems (GNSS) observations and compared the results with ionosonde observation of Wuhan station.

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A New Algorithm for Ill-Posed Problem of GNSS-Based Ionospheric Tomography

et al. 2023

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Ill-posedness of GNSS-based ionospheric tomography affects the stability and the accuracy of the inversion results. Truncated singular value decomposition (TSVD) is a common algorithm of ionospheric tomography reconstruction. However, the TSVD method usually has low inversion accuracy and reconstruction efficiency. To resolve the above problem, a truncated mapping singular value decomposition (TMSVD) algorithm is presented to improve the reconstructed accuracy and computational efficiency. To authenticate the effectiveness and the advantages of the TMSVD algorithm, a numerical test scheme is devised. Finally, ionospheric temporal–spatial variations of the selected reconstructed region are studied using the GNSS observations under different geomagnetic conditions. The reconstructed results of TMSVD can accurately reflect semiannual anomalies, diurnal variations, and geomagnetic storm effects. In contrast with the ionosonde data, it is found that the reconstructed profiles of the TMSVD method are more consistent with than those of the IRI 2016. The study suggests that TMSVD is an efficient algorithm for the tomographic reconstruction of ionospheric electron density (IED).

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The ionosphere over Alaska during a storm period in October 2003: Radio tomography and data obtained with GAIM/IFM ionospheric models

Cited by 3 publications

References 5 publications

Ionosphere‐thermosphere models at the Community Coordinated Modeling Center

Ionosphere‐thermosphere models at the Community Coordinated Modeling Center

Tomographic reconstruction of ionospheric electron density based on constrained algebraic reconstruction technique

A New Algorithm for Ill-Posed Problem of GNSS-Based Ionospheric Tomography

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