Capturing CMEs in SUVI-ECI data
Abstract
The SUVI instrument on GOES-17 (now GOES-West) spent a month between August and September, 2018 conducting an extended coronal imaging campaign. Composite images constructed from interleaved image sets that scanned ±4 solar radii across the Sun every 6 minutes were processed to create a consistent dataset for analysis. An optical flow method (opflow3d) was applied to this set to estimate velocities of moving features. The results were then compared to CMEs detected by the CACTUS algorithm operating on co-temporal LASCO images. While the peak speeds reported by opflow3d were significantly lower than the CMEs found further out in the corona by CACTUS, the time intervals of enhanced motions correlate well between the two sets. Here we present the data and discuss the processing, analysis and future work. A new set of observations are scheduled to begin in mid-April. If they begin on time we may report on those results too.
- Publication:
-
American Astronomical Society Meeting Abstracts #234
- Pub Date:
- June 2019
- Bibcode:
- 2019AAS...23411103H