Methods for the Evaluation of the Stochastic Properties of the Ionosphere for Earthquake Prediction—Random Matrix Theory
Seismo-ionospheric coupling is a field of great interest and is currently subject to rigorous study; using both ground and satellite data and many phenomenological features, the ionospheric precursors of earthquakes were identified. In this work, we present methods to study the stochastic properties...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-07-01
|
| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/10/7/413 |
| _version_ | 1818910892730875904 |
|---|---|
| author | Leontýna Břizová Jan Kříž Filip Studnička Jan Šlégr |
| author_facet | Leontýna Břizová Jan Kříž Filip Studnička Jan Šlégr |
| author_sort | Leontýna Břizová |
| collection | DOAJ |
| description | Seismo-ionospheric coupling is a field of great interest and is currently subject to rigorous study; using both ground and satellite data and many phenomenological features, the ionospheric precursors of earthquakes were identified. In this work, we present methods to study the stochastic properties of the lower ionosphere, derived from the data obtained with very low frequency (VLF) receivers at frequencies in the range of 19.6 to 37.5 kHz. Two main approaches are described: auto-correlation and random matrix theory treatments of amplitude time series data. It is shown that before shallow earthquakes with magnitudes greater than four, there are measurable changes that can be used in earthquake prediction. Although the exact form of the causal chain that leads to these changes are currently subject to diligent study, we believe that the investigations described herein are worth adding to the repertoire of ionospheric precursors. |
| first_indexed | 2024-12-19T22:50:02Z |
| format | Article |
| id | doaj.art-014f7e6776ca4113ac8628ba8ad829a1 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-12-19T22:50:02Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-014f7e6776ca4113ac8628ba8ad829a12022-12-21T20:02:51ZengMDPI AGAtmosphere2073-44332019-07-0110741310.3390/atmos10070413atmos10070413Methods for the Evaluation of the Stochastic Properties of the Ionosphere for Earthquake Prediction—Random Matrix TheoryLeontýna Břizová0Jan Kříž1Filip Studnička2Jan Šlégr3Department of Physics, Faculty of Science, University of Hradec Králové, Rokitanského 62, 500 03 Hradec Králové, Czech RepublicDepartment of Physics, Faculty of Science, University of Hradec Králové, Rokitanského 62, 500 03 Hradec Králové, Czech RepublicDepartment of Physics, Faculty of Science, University of Hradec Králové, Rokitanského 62, 500 03 Hradec Králové, Czech RepublicDepartment of Physics, Faculty of Science, University of Hradec Králové, Rokitanského 62, 500 03 Hradec Králové, Czech RepublicSeismo-ionospheric coupling is a field of great interest and is currently subject to rigorous study; using both ground and satellite data and many phenomenological features, the ionospheric precursors of earthquakes were identified. In this work, we present methods to study the stochastic properties of the lower ionosphere, derived from the data obtained with very low frequency (VLF) receivers at frequencies in the range of 19.6 to 37.5 kHz. Two main approaches are described: auto-correlation and random matrix theory treatments of amplitude time series data. It is shown that before shallow earthquakes with magnitudes greater than four, there are measurable changes that can be used in earthquake prediction. Although the exact form of the causal chain that leads to these changes are currently subject to diligent study, we believe that the investigations described herein are worth adding to the repertoire of ionospheric precursors.https://www.mdpi.com/2073-4433/10/7/413ionospheric precursorsstochastic propertieslower ionosphere |
| spellingShingle | Leontýna Břizová Jan Kříž Filip Studnička Jan Šlégr Methods for the Evaluation of the Stochastic Properties of the Ionosphere for Earthquake Prediction—Random Matrix Theory Atmosphere ionospheric precursors stochastic properties lower ionosphere |
| title | Methods for the Evaluation of the Stochastic Properties of the Ionosphere for Earthquake Prediction—Random Matrix Theory |
| title_full | Methods for the Evaluation of the Stochastic Properties of the Ionosphere for Earthquake Prediction—Random Matrix Theory |
| title_fullStr | Methods for the Evaluation of the Stochastic Properties of the Ionosphere for Earthquake Prediction—Random Matrix Theory |
| title_full_unstemmed | Methods for the Evaluation of the Stochastic Properties of the Ionosphere for Earthquake Prediction—Random Matrix Theory |
| title_short | Methods for the Evaluation of the Stochastic Properties of the Ionosphere for Earthquake Prediction—Random Matrix Theory |
| title_sort | methods for the evaluation of the stochastic properties of the ionosphere for earthquake prediction random matrix theory |
| topic | ionospheric precursors stochastic properties lower ionosphere |
| url | https://www.mdpi.com/2073-4433/10/7/413 |
| work_keys_str_mv | AT leontynabrizova methodsfortheevaluationofthestochasticpropertiesoftheionosphereforearthquakepredictionrandommatrixtheory AT jankriz methodsfortheevaluationofthestochasticpropertiesoftheionosphereforearthquakepredictionrandommatrixtheory AT filipstudnicka methodsfortheevaluationofthestochasticpropertiesoftheionosphereforearthquakepredictionrandommatrixtheory AT janslegr methodsfortheevaluationofthestochasticpropertiesoftheionosphereforearthquakepredictionrandommatrixtheory |