Graphical Schemes Designed to Display and Study the Long-term Variations of Schumann Resonance

التفاصيل البيبلوغرافية
العنوان: Graphical Schemes Designed to Display and Study the Long-term Variations of Schumann Resonance
المؤلفون: Jesus Rodriguez-Camacho, David Blanco-Navarro, Juan Francisco Gomez Lopera, Alfonso Salinas, M. C. Carrion, Jesus Fornieles-Callejon, Jorge A. Portí, Enrique Navarro Camba
المصدر: EUSIPCO
بيانات النشر: IEEE, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Signal processing, Schumann resonances, Magnetometer, 020206 networking & telecommunications, 02 engineering and technology, Signal, Lightning, Term (time), law.invention, Computational physics, Amplitude, law, 0202 electrical engineering, electronic engineering, information engineering, Range (statistics), 020201 artificial intelligence & image processing, Geology
الوصف: This work proposes and illustrates a graphical approach aimed at studying a wide range of features of the ELF horizontal magnetic field signal recorded at the Sierra Nevada station (Spain). In addition to the traditional long-term variations in the parameters of the first three Schumann resonances (their amplitudes, central frequencies and widths), many other properties such as the saturations of the magnetometers, anomalous values for the parameters or spectra with any kind of particularities are taken into consideration in this work. These features can provide us with complementary information about the long-term variation of Schumann resonances, give an estimation of the extent up to which the results obtained are reliable and be correlated with the occurrence of lightning events or with changes in the electrical properties of the ionosphere. The scheme proposed in this work allows to instantaneously display the variations of all these features within a desired period of time.
DOI: 10.23919/eusipco.2019.8903030
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::a50be6720c4bdeada244b50760483815
https://doi.org/10.23919/eusipco.2019.8903030
رقم الانضمام: edsair.doi...........a50be6720c4bdeada244b50760483815
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.23919/eusipco.2019.8903030