Propagation of the 7 January 2014 CME and Resulting Geomagnetic Non-Event

TL;DR

This study uses ensemble modeling with 3D CME fitting to analyze the propagation of a 2014 CME, showing that CME shape and orientation significantly affect arrival time predictions and geomagnetic storm forecasts.

Contribution

The paper introduces an improved CME propagation prediction method incorporating tilted ellipsoid shape and 3D fitting, enhancing arrival time accuracy for multiple planets.

Findings

Tilted ellipsoid CME shape improves prediction accuracy.

CME orientation significantly influences propagation and arrival times.

3D CME fitting enhances forecasting for glancing CME events.

Abstract

On 7 January 2014 an X1.2 flare and CME with a radial speed $\approx$2500 km s$^{-1}$ was observed from near an active region close to disk center. This led many forecasters to estimate a rapid arrival at Earth ($\approx$36 hours) and predict a strong geomagnetic storm. However, only a glancing CME arrival was observed at Earth with a transit time of $\approx$49 hours and a $K_{\rm P}$ geomagnetic index of only $3-$. We study the interplanetary propagation of this CME using the ensemble Wang-Sheeley-Arge (WSA)-ENLIL+Cone model, that allows a sampling of CME parameter uncertainties. We explore a series of simulations to isolate the effects of the background solar wind solution, CME shape, tilt, location, size, and speed, and the results are compared with observed in-situ arrivals at Venus, Earth, and Mars. Our results show that a tilted ellipsoid CME shape improves the initial real-time prediction to better reflect the observed in-situ signatures and the geomagnetic storm strength. CME parameters from the Graduated Cylindrical Shell model used as input to WSA--ENLIL+Cone, along with a tilted ellipsoid cloud shape, improve the arrival-time error by 14.5, 18.7, 23.4 hours for Venus, Earth, and Mars respectively. These results highlight that CME orientation and directionality with respect to observatories play an important role in understanding the propagation of this CME, and for forecasting other glancing CME arrivals. This study also demonstrates the importance of three-dimensional CME fitting made possible by multiple viewpoint imaging.