Oc. St Cyr et al., Properties of coronal mass ejections: SOHO LASCO observations from January1996 to June 1998, J GEO R-S P, 105(A8), 2000, pp. 18169-18185
We report the properties of all the 841 coronal mass ejections (CMEs) obser
ved by the Solar and Heliospheric Observatory (SOHO) Large Angle Spectrosco
pic Coronagraph (LASCO) C2 and C3 white-light coronagraphs from January 199
6 through June 1998, and we compare those properties to previous observatio
ns by other similar instruments. Both the CME rate and the distribution of
apparent locations of CMEs varied during this period as expected based on p
revious solar cycles. The distribution of apparent speeds and the fraction
of CMEs showing acceleration were also in agreement with earlier reports. T
he pointing stability provided by an L-l orbit and the use of CCD detectors
have resulted in superior brightness sensitivity for LASCO over earlier co
ronagraphs; however, we have not detected a significant population of faint
er (i.e., low mass) CMEs. The general shape of the distribution of apparent
sizes for LASCO CMEs is similar to those of earlier reports, but the avera
ge (median) apparent size of 72 degrees (50 degrees) is significantly large
r. The larger average apparent size is predominantly the result of the dete
ction of a population of partial and complete halo CMEs at least some of wh
ich appear to be events with a significant longitudinal component directed
along the Sun-Earth line, either toward or away from the Earth. Using full
disk solar images obtained by the Extreme ultraviolet Imaging Telescope (EI
T) on SOHO, we found that 40 out of 92 of these events might have been dire
cted toward the Earth, and we compared the timing of those with the I(I) ge
omagnetic storm index in the days following the CME, Although the "false al
arm" rate was high, we found that 15 out of 21 (71%) of the K-p greater tha
n or equal to 6 storms could be accounted for as SOHO LASCO/EIT frontside h
alo CMEs. If we eliminate three Kp, storms that occurred following LASCO/EI
T data gaps. then the possible association rate was 15 out of 18 (83%).