72 citations · 404 across the 22 of their papers we have counts for
5 papers · 1 filter
Drag-based CME modeling with heliospheric images incorporating frontal deformation: ELEvoHI 2.0
J. Hinterreiter, T. Amerstorfer, M. Temmer +7
The evolution and propagation of coronal mass ejections (CMEs) in interplanetary space is still not well understood. As a consequence, accurate arrival time and arrival speed forec…
Predicting CMEs using ELEvoHI with STEREO-HI beacon data
Maike Bauer, Tanja Amerstorfer, Jürgen Hinterreiter +6
Being able to accurately predict the arrival of coronal mass ejections (CMEs) at Earth has been a long-standing problem in space weather research and operations. In this study, we…
Machine learning for predicting the Bz magnetic field component from upstream in situ observations of solar coronal mass ejections
Martin A. Reiss, Christian Möstl, Rachel L. Bailey +6
Predicting the Bz magnetic field embedded within ICMEs, also known as the Bz problem, is a key challenge in space weather forecasting. We study the hypothesis that upstream in situ…
Non-thermal escape of the Martian CO atmosphere over time: constrained by Ar isotopes
H. Lichtenegger, S. Dyadechkin, M. Scherf +5
The ion escape of Mars' CO atmosphere caused by its dissociation products C and O atoms is {simulated} from present time to billion years ago (Ga) by {numerical mode…
Why are ELEvoHI CME arrival predictions different if based on STEREO-A or STEREO-B heliospheric imager observations?
Jürgen Hinterreiter, Tanja Amerstorfer, Martin A. Reiss +9
Accurate forecasting of the arrival time and arrival speed of coronal mass ejections (CMEs) is a unsolved problem in space weather research. In this study, a comparison of the pred…