Predicting the Reaction of the Magnetosphere-Ionosphere System to Driving by the Solar Wind: A Global Correlation Approach
Abstract
Using canonical correlation analysis (CCA) we are looking at the correlation patterns between the multi-variable solar-wind data set and an Earth data set of comprised of multiple measures of the state of the magnetosphere (geomagnetic indices and other indices). We will treat the Earth data set as a "stock market" and we define a "stock-market index". The primary correlation in the composite solar-wind-magnetosphere system yields a very accurate prediction of the reaction of the "index" to the solar wind, and the magnetosphere's reaction shows a remarkable degree of linearity with solar-wind parameters. Secondary correlations in the composite solar-wind-magnetosphere system show different modes of reaction of the magnetosphere to the solar wind. The CCA methodology highlights a physics versus mathematics dilemma in discerning how the solar wind drives the magnetosphere.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFMSH11C2263B
- Keywords:
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- 4305 Space weather;
- NATURAL HAZARDSDE: 7594 Instruments and techniques;
- SOLAR PHYSICS;
- ASTROPHYSICS;
- AND ASTRONOMYDE: 7924 Forecasting;
- SPACE WEATHERDE: 7999 General or miscellaneous;
- SPACE WEATHER