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20242026
most citedFirst observations of a geomagnetic superstorm with a sub-L1 monitor

20 citations · 22 across the 12 of their papers we have counts for

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6 papers · 1 filter

astro-ph.SR2026

Evidence for CME--CME Interaction in a Magnetic-Cloud-Like Ejecta: Insights from Multipoint Observations and Polytropic Analysis

Jyoti Sheoran, Vaibhav Pant, Eva Weiler +5

Using in-situ observations from Solar Orbiter, STEREO-A, and Wind, we investigate the heliospheric evolution of an interplanetary coronal mass ejection (ICME). The magnetic ejecta…

physics.space-ph2026

Evolution of Coronal Mass Ejection Properties through Superposed Epoch Analysis from 0.2 to 2.2 au

Yakub Olufadi, Nada Al-Haddad, Florian Regnault +6

Coronal mass ejections (CMEs) are explosive and energetic events consisting of strong magnetic structures erupting from the solar corona. We use superposed epoch analysis to invest…

physics.space-ph2026

Radial Dependency of ICME-associated Particle Acceleration Processes: Statistical Multipoint Observations from 2016-2023

Malik H. Walker, Robert C. Allen, George C. Ho +6

During the propagation of interplanetary coronal mass ejections (ICMEs), evolution of the ICME-driven shock along with interactions with other solar wind structures, planetary bodi…

astro-ph.SR2026

Solar Wind Heating Near the Sun: A Radial Evolution Approach

Yogesh, Leon Ofman, Kristopher Klein +19

Characterizing the plasma state in the near-Sun environment is essential to constrain the mechanisms that heat and accelerate the solar wind. In this study, we use Parker Solar Pro…

physics.space-ph2026

Investigating potential benefits of future sub-L1 missions with STEREO-A

Eva Weiler, Emma E. Davies, Christian Möstl +4

We present the first statistical study of geomagnetic storm forecasting using in situ data from the STEREO-A spacecraft as a sub-L1 monitor. Between November 2022 and June 2024, ST…

astro-ph.SR2026

Towards a Fully Automated Pipeline for Short-Term Forecasting of In Situ Coronal Mass Ejection Magnetic Field Structure

Hannah T. Rüdisser, Emma E. Davies, Ute V. Amerstorfer +6

We present an automated pipeline for operational short-term forecasting of coronal mass ejection (CME) magnetic field structure at L1, coupling arrival time prediction, in situ det…