Szczegóły publikacji
Opis bibliograficzny
Application of the Schumann resonance spectral decomposition in characterizing the main African thunderstorm center / Michał Dyrda, Andrzej Kulak, Janusz MŁYNARCZYK, Michał Ostrowski, Jerzy Kubisz, Adam Michalec, Zenon Nieckarz // Journal of Geophysical Research [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2169-8996. Atmospheres ; ISSN 2169-897X. — 2014 — vol. 119 iss. 23, s. 13,338–13,349. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 13,348–13,349, Abstr.
Autorzy (7)
- Dyrda Michał
- Kułak A.
- AGHMłynarczyk Janusz
- Ostrowski Michał
- Kubisz Jerzy
- Michalec Adam
- Nieckarz Zenon
Dane bibliometryczne
| ID BaDAP | 87100 |
|---|---|
| Data dodania do BaDAP | 2015-02-24 |
| Tekst źródłowy | URL |
| DOI | 10.1002/2014JD022613 |
| Rok publikacji | 2014 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Journal of Geophysical Research, Atmospheres |
Abstract
In this paper we present a new method for quantifying the main tropical thunderstorm regions based on extremely low frequency (ELF) electromagnetic wave measurements from a single station-the Hylaty ELF station in Central Europe. Our approach is based on Schumann resonance (SR) measurements, which we apply as an example to thunderstorms in Africa. By solving the inverse problem, using the SR power spectrum templates derived analytically, we calculate distances to the most powerful thunderstorm centers and present simplified 1-D thunderstorm lightning activity "maps" in absolute units C(2)m(2)/s. We briefly describe our method of SR power spectrum analysis and present how this method is used with real observational data. We obtained the monthly lightning activity maps of the African storm centers with a spatial resolution of 1. and temporal resolution of 10 min for January and August 2011. This allowed us to study the varying location and intensities of the African storm centers in different seasons of the year. A cross check of the obtained lightning activity maps with Tropical Rainfall Measuring Mission satellite data recorded by the Lightning Imaging Sensor and the derived correlation coefficients between SR and optical data were used to validate the proposed method. We note that modeling a maximum possible number of resonance modes in the SR power spectra (in our case, seven resonances) is essential in application of the proposed approach.
