Space Weather 7, S05002, 2009
© American Geophysical Union
Studying geoeffective interplanetary coronal mass ejections between the Sun and Earth: Space weather implications of Solar Mass Ejection Imager observations
D.F. Webb
Inst. for Scientific Research, Boston College, MA, USA
Space Vehicles Directorate, Air Force Research Laboratory, Hanscom Air Force Base, MA, USA
T.A. Howard
Air Force Research Laboratory, NSO, Sunspot, NM, USA
C.D. Fry
Exploration Physics International, Inc., Huntsville, AL, USA
T.A. Kuchar and D.R. Mizuno
Inst. for Scientific Research, Boston College, MA, USA
Space Vehicles Directorate, Air Force Research Laboratory, Hanscom Air Force Base, MA, USA
J.C. Johnston
Space Vehicles Directorate, Air Force Research Laboratory, Hanscom Air Force Base, MA, USA
B.V. Jackson
Center for Astrophysics and Space Science, Univ. of California, La Jolla, CA, USA
Abstract
Interplanetary coronal mass ejections (ICMEs) are the primary cause of severe
space weather at Earth because they drive shocks and trigger geomagnetic
storms that can damage spacecraft and ground-based systems. The Solar Mass
Ejection Imager (SMEI) is a U. S. Air Force experiment with the ability to
track ICMEs in white light from near the Sun to Earth and beyond, thus
providing an extended observational range for forecasting storms. We
summarize several studies of SMEI's detection and tracking capability,
especially of the ICMEs associated with the intense (peak Dst ≤ −100 nT)
geomagnetic storms that were the focus of the NASA Living With a Star
Geostorm Coordinated Data Analysis Workshop. We describe the SMEI
observations and analyses for the 18 intense storms observed from May
2003–2007 with adequate SMEI coverage and identified solar and
interplanetary source regions. SMEI observed the associated ICMEs for
89% of these intense storms. For each event we extracted the time
differences between these sets of times at 1 AU for shock arrival time,
predicted ICME arrival time, onset of high-altitude aurora observed by SMEI,
and storm onset. The mean intervals between successive pairs of these data
were found to each be ∼4 hours. On average, SMEI first detected the
geoeffective ICME about 1 day in advance, yielding a prediction lead time
of ∼18 hours. Finally, the RMS values for the ICME-shock and storm-ICME
time differences were determined, and provide at least a 1-hour improvement
compared to similar observational and model-dependent studies.