Scholarly record
ANALYSIS MHD SOLAR ACTIVITY USING ROBUST METHODS
Abstract
The aim of this paper is to analyze magnetohydrodynamic (MHD) solar activity on the basis of modeling and predicting the Wolf number dynamics. This study is based on the use of adaptive regression modeling approach implemented in the software package ARDM (adaptive regression dynamic modeling). The preliminary data was investigated for the presence of trend stability with fractal analysis.Currently, not only the experts in the field of solar physics, climatologists, and researchers in many fields related to the issue, but most of the world's population is conscious of the solar activity influence on many processes occurring in the world and directly defining the conditions of life and health. Most of the phenomena taking place on the Earth are indeed related to the solar activity either directly or indirectly. The solar activity is characterized by the number of spots produced on the sun surface. Their number is determined by a formula proposed by Rudolf Wolf. Variations of the solar activity are cyclic, with their minimum and maximum. Correspondingly, the effects of its influence are different. Thus, the ARDM software package is modified and the analysis, modeling and forecasting of the solar activity are carried out.The initial data includes two time series: the Wolf number over the period between 2000 and 2011 averaged monthly (124 cases) and the Wolf number over the same period averaged weekly (484 cases).
Publication Impact Profile
Publication details
References0
Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.

