GUVI Biblio


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Found 3 entries in the Bibliography.

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Earthquake Prediction Research Using Radio Tomography of the Ionosphere

Under development since its invention in 1990 as an ancillary application of ionospheric radio-tomography (RT), a new earthquake (EQ) prediction system is being evaluated. It has already been deployed along the United States West Coast, from Vancouver in Canada to San Diego in Southern California, and is currently undergoing Beta testing. This Chapter addresses RT\textendashEQ prediction concepts, the underlying RT theory, evolution and implementation, and a few examples of the Beta test system\textquoterights performance ...

Kunitsyn, Vyacheslav; Andreeva, Elena; Nesterov, Ivan; Padokhin, Artem; Gribkov, Dmitrii; Rekenthaler, Douglas;

Published by:       Published on:

YEAR: 2014     DOI: 10.1007/978-3-319-02207-9_15


Ionospheric Sounding and Tomography by GNSS

Studies of the ionosphere and the physics of the ionospheric processes rely on the knowledge of spatial distribution of the ionospheric plasma. Being the propagation medium for radio waves, the ionosphere significantly affects the performance of various navigation, location, and communication systems. Therefore, investigation into the structure of the ionosphere is of interest for many practical applications. Existing satellite navigation systems with corresponding ground receiving networks are suitable for sounding the i ...

Kunitsyn, Vyacheslav; Andreeva, Elena; Nesterov, Ivan; Padokhi, Artem;

Published by:       Published on:

YEAR: 2013     DOI: 10.5772/54589


Comparison of global ionospheric maps, high-orbital and low-orbital radio tomography.

Observations on the GPS receivers networks which are being actively developed at present provide the input data for constructing global ionospheric maps (GIM) of the distributions of total electron content (TEC) in the ionosphere. The methods applied in the GIM construction at several data processing centers are different although all based on the common idea of finding the appropriate model parameters to fit the selected model of the vertical distribution of electron density to the observed GPS data. At the same time, th ...

Kunitsyn, V.~E.; Andreeva, E.~S.; Nesterov, I.~A.; Kalashnikova, S.~A.; Padokhin, A.~M.;

Published by:       Published on:

YEAR: 2010     DOI: