Dr. Matthew Penn California State University Northridge Tuesday, June 22, 1999 IfA Auditorium ***2:00, Refreshments 1:45*** Title "Combining Ground- and Space-based Observations of an Erupting Filament" Abstract The Sun produced an erupting filament on 13 June 1998, which left the solar surface and traveled through interplanetary space associated with a coronal mass ejection. The filament happened to cross the field-of-view of a quiet-Sun Joint Observing Program, and two satellites and one ground-based observatory collected data on the event. Imaging spectro-polarimetric infrared observations from the NSO Kitt Peak Vacuum Telescope are combined with EUV imaging spectral observations from the SoHO Coronal Diagnostic Spectrometer and EUV filtergraph images from the SoHO Extreme-ultraviolet Imaging Telescope and EUV filtergraph images from the Transition Region and Coronal Explorer. Preliminary analysis shows that the filament left the solar surface traveling at about 250 km per sec at roughly a 45 degree inclination. Over most of the observed path the filament has a constant velocity with virtually no acceleration. The filament displays internal azimuthal velocities of up to plus/minus 25 km per sec as various (4?) threads unravel. The filament shows emission at plasma temperatures from 10^4 through 10^6 Kelvins, and shows continuum EUV absorption which will be used to measure the proton density in the filament. (This special event will answer questions about the continuum absorption process seen in quiescent filaments.) Polarimetric measurements from NSO/KP show no line-of-sight magnetic fields in the filament but an upper limit will be computed from that data. Understanding the ejection path of this and other filaments is essential for determining the relationship between filament eruptions and coronal mass ejections. The physics of the plasma during the eruption is also poorly understood, and these measurements of the velocities, temperatures and densities in this filament will help to constrain theorectical efforts to model these events.