Analysis of the Earthʼs magnetic field variations on the basis of a wavelet-based approach

Mandrikova, Oksana; Solovjev, I. S.; Geppener, V. V.; Al-Kasasbeh, Riad Taha; Klionskiy, Dmitry M.

doi:10.1016/j.dsp.2012.08.007

Cited by 25 publications

(39 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the papers [14,30] the authors propose geomagnetic field variation representation based on multiscale wavelet decompositions:…”

Section: Description Of the Methodsmentioning

confidence: 99%

“…Minimizing the errors in the class of orthonormal functions, the Daubechies basis of order 3 was determined as the wavelet basis [30].…”

Section: Description Of the Methodsmentioning

confidence: 99%

“…This approach allowed us to automate the procedure for calculation of geomagnetic activity index K, close to J. Bartels method, and to decrease the calculation error in comparison to the current methods [30]. In this paper we continue the investigation in this direction where a special emphasis is placed on the development of calculation solutions to detect and to estimate short-time anomalous increases in geomagnetic disturbance intensity which may occur before magnetic storms and have applied significance.…”

mentioning

confidence: 99%

“…rd International conference "Information Technology and Nanotechnology 2017" 181 terms of wavelets, the authors of this paper suggested a new model of geomagnetic field variations [14,30] and developed automatic algorithms do detect calm diurnal variation and to estimate disturbance intensities [30]. This approach allowed us to automate the procedure for calculation of geomagnetic activity index K, close to J. Bartels method, and to decrease the calculation error in comparison to the current methods [30].…”

mentioning

confidence: 99%

See 3 more Smart Citations

Method of analysis of geomagnetic data based on wavelet transform and threshold functions

Mandrikova¹,

Solovev²,

Khomutov³

et al. 2017

Collection of Selected Papers of the III International Conference on Information Technology and Nanotechnology

Self Cite

View full text Add to dashboard Cite

The suggested method is aimed at studying the dynamics of the magnetospheric current systems during magnetic storms. The method is based on algorithmic solutions for processing of geomagnetic field variations, detection of local increases in geomagnetic disturbance intensity and estimation of their dynamic characteristics. Parameters of the algorithms allow us to evaluate the characteristics of small-scale local features emerging during geomagnetic activity slight increases and large-scale variations observed during magnetic storms. To evaluate the method, geomagnetic data from the stations located in the north-east of Russia and equatorial India were used. The method testing showed the possibility to apply it for the detection of pre-storm anomalous effects in geomagnetic data.

show abstract

“…In the papers [14,30] the authors propose geomagnetic field variation representation based on multiscale wavelet decompositions:…”

Section: Description Of the Methodsmentioning

confidence: 99%

“…Minimizing the errors in the class of orthonormal functions, the Daubechies basis of order 3 was determined as the wavelet basis [30].…”

Section: Description Of the Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Method of analysis of geomagnetic data based on wavelet transform and threshold functions

Mandrikova¹,

Solovev²,

Khomutov³

et al. 2017

Collection of Selected Papers of the III International Conference on Information Technology and Nanotechnology

Self Cite

View full text Add to dashboard Cite

show abstract

“…The recorded variations of the geomagnetic field have a complex structure, therefore classic data analysis methods are ineffective for the task and lead to loss of information [1,2]. The shortcoming of the used classical methods and approaches is also an insufficient degree of automation, that is very important in the problems of operational data processing and space weather forecast [3,4].…”

Section: Introductionmentioning

confidence: 99%

A neural network system for estimation of the geomagnetic field disturbance

Mandrikova

Жижикина

2016

E3S Web Conf.

Self Cite

View full text Add to dashboard Cite

Abstract.The paper presents our software system for estimation the degree of disturbance of the geomagnetic field. The system automatically classifies registered geomagnetic data and determines the state of the geomagnetic field for the current day. The results of approbation of the system showed the prospect of its application in problems of estimation and prediction of space weather. The system allows us to allocate weak disturbances of the geomagnetic field, which may occur before strong magnetic storms.

show abstract

A novel computational method for determination of water saturation in oil reservoirs using discrete wavelet transform and nuclear magnetic resonance (NMR) T2 log

Heidary¹

2021

Journal of Petroleum Science and Engineering

View full text Add to dashboard Cite

Analysis of the Earthʼs magnetic field variations on the basis of a wavelet-based approach

Cited by 25 publications

References 20 publications

Method of analysis of geomagnetic data based on wavelet transform and threshold functions

Method of analysis of geomagnetic data based on wavelet transform and threshold functions

A neural network system for estimation of the geomagnetic field disturbance

A novel computational method for determination of water saturation in oil reservoirs using discrete wavelet transform and nuclear magnetic resonance (NMR) T2 log

Contact Info

Product

Resources

About