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On the prediction of relativistic electron fluence based on its relationship with geomagnetic activitv over a solar cycle

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jastp.2004.08.002

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relativistic electrons; space weather forecast; internal charging; satellite operational anomalies; geomagnetic activity; solar cycle

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A study has been carried out to determine the relationship between high energy relativistic (>2 MeV) electron fluence and auroral zone geomagnetic activity for a solar cycle. Data for 1987-1997, spanning Solar Cycle 22, were used in the Study. The relativistic electron fluence data were based on fluxes observed by the GOES geosynchronous satellites. The geomagnetic data were the DRX indices derived from a Canadian magnetic observatory located in the auroral zone at Fort Churchill, near the footprint of field lines passing through geostationary satellites. This work, based on data from a solar cycle, confirms earlier findings using limited data from segments of solar cycle of enhancement in fluence 2-3 days after increases in geomagnetic activity. and shows the cycle dependence of fluence with respect to geomagnetic activity. This study underlines the influence of recurrent coronal holes on fluence level as well as the possible role of Pe5 magnetic pulsations as all electron acceleration mechanism. and highlights the predictability of fluence from ground geomagnetic data. A fluence prediction algorithm can now solely be based oil derived expressions relating fluence and DRX. Thus, a simple fluence prediction scheme can easily be implemented to provide a 2-3 day advance warning of space weather conditions hazardous to geosynchronous satellites, since during days of high fluence, the likelihood of internal charging in a satellite is high, with possible discharges that could result in satellite operational anomalies. For verification purpose, daily values of fluence for 1997-2000 and for January 1994 were postcast using the derived expressions. The postcast values were validated, and the results give credence to the fluence prediction scheme. Crown Copyright (C) 2004 Published by Elsevier Ltd. All rights reserved.

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