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N. Gopalswamy, J. M. Davila, O. C. St. Cyr, E. C. Sittler, F. Auchere, T. L. Duvall Jr., J. T. Hoeksema, M. Maksimovic, R. J. MaDowall, A. Szabo and M. R. Collier, “Earth-Affecting Solar Causes Observatory (EASCO): A Potential International Living with a Star Mission from Sun-Earth L5,” Journal of Atmospheric and Solar-Terrestrial Physics, Vol. 73, No. 5-6, 2011, pp. 658-663. doi:10.1016/j.jastp.2011.01.013

has been cited by the following article:

• TITLE: On the Predictive Ability of Geomagnetic Disturbances from Solar Wind Measurements at Separated Solar Longitude

  AUTHORS: Wataru Miyake, Tsutomu Nagatsuma

  KEYWORDS: Solar Wind; Geomagnetic Disturbances; Space Weather Forecast

  JOURNAL NAME: International Journal of Astronomy and Astrophysics, Vol.2 No.2, June 15, 2012

  ABSTRACT: In-situ solar wind measurement at a solar longitude separated from the earth in interplanetary space is expected to provide a great progress in practical space weather forecast, which has been confirmed by some recent studies. We introduce geoeffective solar wind conditions in correlation analysis between STEREO and ACE measurements. We sort solar wind data of ACE by using geomagnetic condition, and evaluate actual ability for predicting geoeffective solar wind arrival at ACE from STEREO-A and B solar wind measurement, by assuming simple corotating structures in interplanetary space. The results show that geomagnetic disturbances are more difficult to be predicted than quiet intervals, suggesting that the simple correlation method of solar wind measurement at separated solar longitude is not enough for accurately predicting geomagnetic disturbances, even though the correlation seems generally high. Although in-situ solar wind monitoring at a vantage point trailing behind the earth would definitely improve the prediction capability of solar wind structure arriving at the terrestrial plasma environment, we emphasize that the predictive ability of geoeffective disturbances would still remain low. We suggest that more sophisticated prediction schemes should be developed.