Evaluation of CME Arrival Prediction Using Ensemble Modeling Based on Heliospheric Imaging Observations
Tanja Amerstorfer, J\"urgen Hinterreiter, Martin A. Reiss, Christian, M\"ostl, Jackie A. Davies, Rachel L. Bailey, Andreas J. Weiss, Mateja, Dumbovi\'c, Maike Bauer, Ute V. Amerstorfer, Richard A. Harrison

TL;DR
This paper evaluates the ELEvoHI ensemble modeling tool for CME arrival prediction using heliospheric imaging observations, demonstrating its potential to improve space weather forecasting accuracy.
Contribution
The study assesses different configurations of the ELEvoHI model through hindcasts of 15 CMEs, showing its effectiveness with a mean absolute error of 6.2 to 9.9 hours.
Findings
Mean absolute error between 6.2 and 9.9 hours.
ELEvoHI can utilize STEREO-A HI data for real-time CME predictions.
Model performance varies with different set-ups.
Abstract
In this study, we evaluate a coronal mass ejection (CME) arrival prediction tool that utilizes the wide-angle observations made by STEREO's heliospheric imagers (HI). The unsurpassable advantage of these imagers is the possibility to observe the evolution and propagation of a CME from close to the Sun out to 1 AU and beyond. We believe that by exploiting this capability, instead of relying on coronagraph observations only, it is possible to improve today's CME arrival time predictions. The ELlipse Evolution model based on HI observations (ELEvoHI) assumes that the CME frontal shape within the ecliptic plane is an ellipse, and allows the CME to adjust to the ambient solar wind speed, i.e. it is drag-based. ELEvoHI is used to perform ensemble simulations by varying the CME frontal shape within given boundary conditions that are consistent with the observations made by HI. In this work, we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
