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Found 3 entries in the Bibliography.
Showing entries from 1 through 3
2016 |
Modeling the problem of low-orbital satellite UV-tomography of the ionosphere The results of modeling the direct and inverse problems of low-orbital satellite ultraviolet (UV) tomography of the ionospheric 135.6 OI volume emission rate are presented. The direct problem was solved with the orbital geometry of DMSP block 5D3 satellites with SSUSI and SSULI UV spectrographs among the other payloads, the real operating parameters of these instruments (the scan rate and the interval of scan angles), and the set of the model distributions of the volume emission rate that contain irregularities on various ... Nesterov, I.; Padokhin, A.; Andreeva, E.; Kalashnikova, S.; Published by: Moscow University Physics Bulletin Published on: 06/2016 YEAR: 2016   DOI: 10.3103/S0027134916030103 |
2014 |
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 |
2010 |
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: |
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