Open AccessCausal inference in space weather by an information theory approach
Author(s) -
Mirko Stumpo,
Giuseppe Consolini,
Tommaso Alberti
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1548/1/012019
Subject(s) - space weather , solar wind , magnetosphere , ionosphere , inference , interplanetary spaceflight , geomagnetic storm , storm , space (punctuation) , meteorology , computer science , environmental science , geophysics , physics , artificial intelligence , plasma , operating system , quantum mechanics
The variability of the interplanetary medium and solar wind conditions strongly affects the near-Earth environment causing several phenomena, such as the magnetic storms and substorms. Here, we present some preliminary results on the causal inference in the solar wind-magnetosphere-ionosphere coupling by means of information theory which could be helpful for Space Weather modeling.