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SSC detection using wavelet analysis
dc.contributor | Universitat Ramon Llull. Observatori de l’Ebre | |
dc.contributor | Observatori de l'Ebre-CSIC | |
dc.contributor.author | Curto, J.J. | |
dc.contributor.author | Blanch Llosa, Estefania | |
dc.date.accessioned | 2018-08-03T07:32:54Z | |
dc.date.accessioned | 2023-07-13T09:20:58Z | |
dc.date.available | 2018-08-03T07:32:54Z | |
dc.date.available | 2023-07-13T09:20:58Z | |
dc.date.created | 2004-09-29 | |
dc.date.issued | 2004-10-01 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14342/2530 | |
dc.description.abstract | For Sudden Storm Commencements, several methods aiming automatic detection of the events have been proposed. Most of them are based in the analysis of digital geomagnetic field data using some morphological aspects of theses events. Here we present a method using a wavelet analysis on the derivative of H component which is related with the steepness of the rising time. Wavelet analysis is very precise tool for time and frequency determination. A comparative of the results from the detection lists is shown. | cat |
dc.format.extent | 1 p. | |
dc.language.iso | eng | |
dc.publisher | International Workshop “Challenges for Geomagnetism, Aeronomy and Seismology in the XXI Century" | |
dc.relation.ispartof | International Workshop “Challenges for Geomagnetism, Aeronomy and Seismology in the XXI Century". Roquetes (Baix Ebre), 29 Septiembre-1 Octubre 2004 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights | © L'autor/a | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | RECERCAT (Dipòsit de la Recerca de Catalunya) | |
dc.subject.other | Geomagnetism | |
dc.subject.other | Sudden Storm Commencements | |
dc.subject.other | Detection | |
dc.subject.other | Wavelets | |
dc.title | SSC detection using wavelet analysis | |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
dc.embargo.terms | cap | |
dc.subject.udc | 55 |