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On the Need of a Unified Methodology for Processing Schumann Resonance Measurements
Author(s) -
RodríguezCamacho J.,
Fornieles J.,
Carrión M.C.,
Portí J. A.,
ToledoRedondo S.,
Salinas A.
Publication year - 2018
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1029/2018jd029462
Subject(s) - schumann resonances , standardization , amplitude , process (computing) , noise (video) , computer science , function (biology) , signal (programming language) , range (aeronautics) , environmental science , remote sensing , meteorology , physics , geology , engineering , geophysics , aerospace engineering , artificial intelligence , optics , evolutionary biology , image (mathematics) , biology , programming language , operating system , ionosphere
The monitoring of natural electromagnetic activity in the extremely low frequency range is considered as a means of obtaining global information on the lightning activity and other parameters concerning the state of the Earth's atmosphere. In this sense, the possible application of the study of Schumann resonances (SRs) to environmental monitoring systems has already been proposed in the recent past. However, the usual lack of details existing in the literature concerning the process of extracting SR parameters hinders the development of global networks intended for environmental purposes. In this paper, the methodology used to extract SR information from data measured at the Sierra Nevada extremely low frequency station, Spain, is described in detail. The process is split in three main parts: the determination of the amplitude spectrum from the low‐amplitude noisy signal measured, the anthropogenic noise elimination and, finally, the calculation of an analytical function to fit the filtered amplitude spectrum from which SR parameters can be precisely defined. Some different options in the method are considered, and their effect on the SR results has been quantified. Significant differences in the final results have been observed in some of the options considered. As a conclusion of this work, it becomes clear that, if data from different research groups are to be shared and quantitatively compared, a standardization of the process is required or, at least, some details on the station and this process should be provided together with the SR results.