J. Space Weather Space Clim.
Volume 6, 2016
Scientific Challenges in Thermosphere-Ionosphere Forecasting
|Number of page(s)||16|
|Published online||25 January 2016|
Statistical characterization of ionosphere anomalies and their relationship to space weather events
Department of Mathematics, University of Southern California, Los Angeles
CA 90089, USA
2 The Jet Propulsion Laboratory, California Institute of Technology, Pasadena 91109, California, USA
* Corresponding author: email@example.com
Accepted: 25 December 2015
The statistical characterization of the relationship between thermosphere-ionosphere anomalies and space weather events, also referred to as space weather anomalies, such as solar coronal mass ejections (CMEs) and geomagnetic storms, is a crucial component in the development of a forecast capability for thermosphere-ionosphere disturbances. This manuscript presents a systematic statistical approach for analyzing historical ionosphere and space weather observations to derive a quantitative characterization of the relationships between the thermosphere-ionosphere anomalies and space weather anomalies. Based on 2 years of historical data, our analysis reveals the complex nature of the relationship between space weather disturbances and ionospheric responses.
Key words: Thermosphere-ionosphere anomaly / Statistical analysis / Space weather forecast
© C. Wang et al., Published by EDP Sciences 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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