Ionospheric responses to typhoons in Australia during 2005–2014 using GNSS and FORMOSAT-3/COSMIC measurements

Li, Wang; Yue, Jianping; Wu, Suqin; Yang, Yang; Li, Zhen; Bi, Jingxue; Zhang, Kefei

doi:10.1007/s10291-018-0722-1

Cited by 34 publications

(28 citation statements)

References 37 publications

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“…The results indicate the spatial localization of disturbance on the periphery of TC, i.e. outside the eye of the cyclone, which is consistent with the conclusions drawn by Li et al [2018].…”

Section: Results Of the Analysissupporting

confidence: 90%

“…their generation is not connected with the eye of the typhoon. Simultaneous consideration of GPS data and radio occultation sounding technique has found deep, ~50%, N e modulation in the F2 layer in the storm area, with the ionospheric anomalies located on the periphery of the typhoon, not near its eye [Li et al, 2018]. However, the question about effectiveness of the use of the GPS techniques in studying the ionospheric response to weather events is still open.…”

Section: Ionospheric Plasma Disturbances Caused By Typhoonsmentioning

confidence: 99%

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Impact of typhoon Vongfong 2014 on the ionosphere and geomagnetic field according to Swarm satellite data: 1. Wave disturbances of ionospheric plasma

Захаров¹,

Пилипенко

Pilipenko

et al. 2019

Solar-Terrestrial Physics

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The article considers the influence of large atmospheric processes on the ionosphere by the example of tropical typhoon Vongfong 2014. We use data obtained from three SWARM satellite missions (450-500 km altitude). We discuss two possible mechanisms of transfer of atmospheric disturbances to ionospheric heights. The first mechanism is the generation of acoustic-gravity waves (AGWs); the second mechanism considers the excitation of electric fields in the atmosphere. We propose new techniques for detecting the ionospheric response to AGW, which rely on loworbit satellite data. The first technique is based on determination of relative electron density variations in the frequency band from 15 to 150-180 s, corresponding to certain scales of AGW. The second technique estimates space-time derivatives of the electron density, measured by two nearby SWARM satellites. We present and estimate the characteristic magnitudes of ionospheric response effects, their localization and spatial-temporal characteristics for the large tropical cyclone under study.

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Section: Results Of the Analysissupporting

confidence: 90%

Section: Ionospheric Plasma Disturbances Caused By Typhoonsmentioning

confidence: 99%

Impact of typhoon Vongfong 2014 on the ionosphere and geomagnetic field according to Swarm satellite data: 1. Wave disturbances of ionospheric plasma

Захаров¹,

Пилипенко

Pilipenko

et al. 2019

Solar-Terrestrial Physics

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“…The global foF2 and hmF2 maps provided by IZMIRAN can be regarded as new GIM-TEC products [32]. The GIM-TECs are estimated by the dual-frequency observations obtained from hundreds of International GNSS Service (IGS) stations with spherical harmonics and have been widely applied in scientific research and practical productions [33][34][35][36]. Therefore, the IZMIRAN maps were capable of meeting the requirements of this study.…”

Section: Validation Of Accuracy Over the Greenwich Meridianmentioning

confidence: 96%

Advanced Machine Learning Optimized by The Genetic Algorithm in Ionospheric Models Using Long-Term Multi-Instrument Observations

Zhao

Hé

et al. 2020

Remote Sensing

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The ionospheric delay is of paramount importance to radio communication, satellite navigation and positioning. It is necessary to predict high-accuracy ionospheric peak parameters for single frequency receivers. In this study, the state-of-the-art artificial neural network (ANN) technique optimized by the genetic algorithm is used to develop global ionospheric models for predicting foF2 and hmF2. The models are based on long-term multiple measurements including ionospheric peak frequency model (GIPFM) and global ionospheric peak height model (GIPHM). Predictions of the GIPFM and GIPHM are compared with the International Reference Ionosphere (IRI) model in 2009 and 2013 respectively. This comparison shows that the root-mean-square errors (RMSEs) of GIPFM are 0.82 MHz and 0.71 MHz in 2013 and 2009, respectively. This result is about 20%-35% lower than that of IRI. Additionally, the corresponding hmF2 median errors of GIPHM are 20% to 30% smaller than that of IRI. Furthermore, the ANN models present a good capability to capture the global or regional ionospheric spatial-temporal characteristics, e.g., the equatorial ionization anomaly and Weddell Sea anomaly. The study shows that the ANN-based model has a better agreement to reference value than the IRI model, not only along the Greenwich meridian, but also on a global scale. The approach proposed in this study has the potential to be a new three-dimensional electron density model combined with the inclusion of the upcoming Constellation Observing System for Meteorology, Ionosphere and Climate (COSMIC-2) data.Remote Sens. 2020, 12, 866 2 of 17 space-borne and ground-based instruments and data processed techniques, more attention has been paid to the development and improvement of these ionospheric models [3].In the previous studies, the artificial neural network (ANN), nonlinear least squares and AdaBoost techniques have been used to predict ionospheric variations with a satisfactory accuracy [4][5][6][7]. Among them, the ANN technique has proven to be a successful tool in the modeling of ionospheric variations as well as solving the forecast problems in many geophysical applications over a single station, regional area and global scale [3,[8][9][10]. The neural network was first applied to build the foF2 model over the Grahamstown station (33 • S, 26 • E) using the data range set of 1973-1983 [11]. This model can predict the daily noon foF2 value with a root-mean-square error (RMSE) of 0.95 MHz and the monthly averaged RMSE value was 0.48 MHz. Afterward, this approach has been widely applied in the Asia/Pacific sector [5], equatorial region [12], European region [13] and the auroral zone [14]. These studies showed an improvement in the accuracy of the ANN-based models over the International Reference Ionosphere (IRI) model.With the advancement of data acquisition, more ionospheric measurements have become available for the global modelling of foF2. For instance, Oyeyemi et al. [15] used the foF2 data from 59 globally distributed ionospheric stations to establish th...

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“…Возбуждение таких волновых структур наиболее эффективно происходит при большой скорости развития или спада тайфуна, причем волновые структуры наиболее эффективно выделяются для областей шторма с высокой скоростью движения воздушных масс, т. е. их генерация не связана с глазом тайфуна. Совместное рассмотрение данных навигационной системы GPS и радиозатменного метода зондирования обнаружило глубокуюдо 50 %модуляцию N e в слое F2 в области шторма, причем пространственно аномалии ионосферы оказались расположены на краю тайфуна, а не в районе его глаза [Li et al, 2018]. Вместе с тем вопрос об эффективности использования GPS-технологий для изучения ионосферных откликов на метеорологические явления остается открытым.…”

Section: возмущения ионосферной плазмы вызванные тайфунамиunclassified

“…Полученный результат можно рассматривать в целом как подтверждение волнового механизма передачи возмущения на ионосферные высоты АГВ с масштабами порядка тысячи километров. Полученные результаты указывают на пространственную локализацию возмущения на периферии ТЦ, т. е. вне области глаза циклона, что совпадает с выводами [Li et al, 2018].…”

Section: результаты анализаunclassified

Impact of typhoon Vongfong 2014 on the ionosphere and geomagnetic field according to Swarm satellite data: 1. Wave disturbances of ionospheric plasma

Захаров¹,

Пилипенко

Pilipenko

et al. 2019

Solnechno-Zemnaya Fizika

View full text Add to dashboard Cite

The article considers the influence of large atmospheric processes on the ionosphere by the example of tropical typhoon Vongfong 2014. We use data obtained from three SWARM satellite missions (450–500 km altitude). We discuss two possible mechanisms of transfer of atmospheric disturbances to ionospheric heights. The first mechanism is the generation of acoustic-gravity waves (AGWs); the second mechanism considers the excitation of electric fields in the atmosphere. We propose new techniques for detecting the ionospheric response to AGW, which rely on low-orbit satellite data. The first technique is based on determination of relative electron density variations in the frequency band from 15 to 150–180 s, corresponding to certain scales of AGW. The second technique estimates space-time derivatives of the electron density, measured by two nearby SWARM satellites. We present and estimate the characteristic magnitudes of ionospheric response effects, their localization and spatial-temporal characteristics for the large tropical cyclone under study.

show abstract

Ionospheric responses to typhoons in Australia during 2005–2014 using GNSS and FORMOSAT-3/COSMIC measurements

Cited by 34 publications

References 37 publications

Impact of typhoon Vongfong 2014 on the ionosphere and geomagnetic field according to Swarm satellite data: 1. Wave disturbances of ionospheric plasma

Impact of typhoon Vongfong 2014 on the ionosphere and geomagnetic field according to Swarm satellite data: 1. Wave disturbances of ionospheric plasma

Advanced Machine Learning Optimized by The Genetic Algorithm in Ionospheric Models Using Long-Term Multi-Instrument Observations

Impact of typhoon Vongfong 2014 on the ionosphere and geomagnetic field according to Swarm satellite data: 1. Wave disturbances of ionospheric plasma

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