2014
DOI: 10.1007/978-3-642-38430-1
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Ionospheric Prediction and Forecasting

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Cited by 121 publications
(91 citation statements)
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“…Walden [49] reports that several propagation prediction models neglect the effect of the extraordinary wave. In [50] basic recommendations and formula for ionospheric propagation prediction are provided, and in [51] a state-of-the-art ionospheric prediction model is described. Combination of ionospheric parameters measured in real time with ray-tracing software using the International Reference Ionosphere (IRI) model [52,53] makes improved short-term propagation predictions possible.…”
Section: Propagation Predictionmentioning
confidence: 99%
“…Walden [49] reports that several propagation prediction models neglect the effect of the extraordinary wave. In [50] basic recommendations and formula for ionospheric propagation prediction are provided, and in [51] a state-of-the-art ionospheric prediction model is described. Combination of ionospheric parameters measured in real time with ray-tracing software using the International Reference Ionosphere (IRI) model [52,53] makes improved short-term propagation predictions possible.…”
Section: Propagation Predictionmentioning
confidence: 99%
“…Along with the solar activity index F 12 , the index R 12 -the relative number of sunspots averaged over 12 months (centered on a given month) -is used in problems of long-term ionospheric forecasting [Zolesi, Cander, 2014]. The index F 12 is more accurate than R 12 for constructing the f o F2 median [Deminov, 2016].…”
Section: Methodsmentioning
confidence: 99%
“…The average monthly median of the F2-layer critical frequency f o F2 med is considered to be an optimal characteristic of the F2-layer critical frequency for long-term ionospheric forecasting [Zolesi, Cander, 2014]. For example, the basic version of the international reference ionosphere IRI gives exactly f o F2 med [Bilitza et al, 2014].…”
Section: Introductionmentioning
confidence: 99%
“…Для корректного ре-шения задачи распространения сигнала необходимо знать среду распространения или по крайней мере иметь хорошую ее модель. Существуют различные модели для прогноза и коррекции характеристик распространения в приложении к различным радио-системам (например, IONCAP, VOACAP, ICEPAC, ASAPS), в основном ориентированные на прогноз различных ионосферных характеристик [Zolesi, Cander, 2014]. Могут также использоваться для прогноза функционирования КВ-радиосредств в различных условиях медианные месячные модели ионосферы, созданные более 50 лет назад и постоянно улучша-ющиеся .…”
Section: загоризонтная радиолокация как метод контроля эффектов космиunclassified