Multiscale variation model and activity level estimation algorithm of the Earth's magnetic field based on wavelet packets

Mandrikova, Oksana V.; Solovyev, Igor S.; Khomutov, Sergey Y.; Geppener, Vladimir V.; Klionskiy, Dmitry M.; Bogachev, Mikhail I.

doi:https://doi.org/10.5194/angeo-36-1207-2018

Articles | Volume 36, issue 5

https://doi.org/10.5194/angeo-36-1207-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/angeo-36-1207-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 36, issue 5

Regular paper

|

19 Sep 2018

Regular paper |

| 19 Sep 2018

Multiscale variation model and activity level estimation algorithm of the Earth's magnetic field based on wavelet packets

Oksana V. Mandrikova, Igor S. Solovyev, Sergey Y. Khomutov, Vladimir V. Geppener, Dmitry M. Klionskiy, and Mikhail I. Bogachev

Data sets

Geomagnetic data from the stations of the Institute of Cosmophysical Research and Radio Wave Propagation Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS http://www.ikir.ru:8180

Short summary

Data analysis of the geomagnetic field is needed for space weather prediction. Conventional techniques do not always provide sufficient efficiency. We suggest new techniques for processing and analyzing geomagnetic data based on the wavelet transform for studying the dynamics and spatiotemporal distribution of geomagnetic perturbations. The paper discusses prestorm short-term increases of geomagnetic activity and the features of different magnetospheric processes for increased solar activity.