194 citations · 1.1k across the 43 of their papers we have counts for
14 papers · 1 filter
Unifying the Validation of Ambient Solar Wind Models
Martin A. Reiss, Karin Muglach, Richard Mullinix +18
Progress in space weather research and awareness needs community-wide strategies and procedures to evaluate our modeling assets. Here we present the activities of the Ambient Solar…
Multi-spacecraft Study of the Solar Wind at Solar Minimum: Dependence on Latitude and Transient Outflows
R. Laker, T. S. Horbury, S. D. Bale +15
The recent launches of Parker Solar Probe (PSP), Solar Orbiter (SO) and BepiColombo, along with several older spacecraft, have provided the opportunity to study the solar wind at m…
Semi-annual, annual and Universal Time variations in the magnetosphere and in geomagnetic activity: 4. Polar Cap motions and origins of the Universal Time effect
Mike Lockwood, Carl Haines, Luke A. Barnard +4
We use the am, an, as and the a-sigma geomagnetic indices to the explore a previously overlooked factor in magnetospheric electrodynamics, namely the inductive effect of diurnal mo…
Improving solar wind forecasting using Data Assimilation
Matthew Lang, Jake Witherington, Harriet Turner +2
Data Assimilation (DA) has enabled huge improvements in the skill of terrestrial operational weather forecasting. In this study, we use a variational DA scheme with a computational…
Reply to comment by Yermolaev and Lodkina on "Solar Wind and Heavy Ion Properties of Interplanetary Coronal Mass Ejections" by Owens (2018) in arXiv:2008.05160
Mathew Owens
Here I reply to the comment by Yermolaev and Lodkina [arXiv:2008.05160] on "Solar Wind and Heavy Ion Properties of Interplanetary Coronal Mass Ejections" by Owens (2018).
Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress)
Ryan M. McGranaghan, Jack Ziegler, Téo Bloch +7
We advance the modeling capability of electron particle precipitation from the magnetosphere to the ionosphere through a new database and use of machine learning (ML) tools to gain…