Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction by Opal Issan, Pete Riley, Enrico Camporeale, Boris Kramer

Subjects: “…ambient solar wind…”
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Forecasting High‐Speed Solar Wind Streams From Solar Images by Daniel Collin, Yuri Shprits, Stefan J. Hofmeister, Stefano Bianco, Guillermo Gallego

Subjects: “…solar wind speed…”
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Impact of Inner Heliospheric Boundary Conditions on Solar Wind Predictions at Earth by Siegfried Gonzi, M. Weinzierl, F.‐X. Bocquet, M. M. Bisi, D. Odstrcil, B. V. Jackson, A. R. Yeates, D. R. Jackson, C. J. Henney, C. Nick Arge

Subjects: “…solar wind…”
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Using Gradient Boosting Regression to Improve Ambient Solar Wind Model Predictions by R. L. Bailey, M. A. Reiss, C. N. Arge, C. Möstl, C. J. Henney, M. J. Owens, U. V. Amerstorfer, T. Amerstorfer, A. J. Weiss, J. Hinterreiter

“…Abstract Studying the ambient solar wind, a continuous pressure‐driven plasma flow emanating from our Sun, is an important component of space weather research. …”
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Hybrid Simulations of Interstellar Pickup Ions at the Solar Wind Termination Shock Revisited by Joe Giacalone, M. Kornbleuth, M. Opher, M. Gkioulidou, J. Köta, E. Puzzoni, J. D. Richardson, G. P. Zank

“…We revisit previous hybrid simulations of the heating and acceleration of interstellar pickup ions (PUIs) at the solar wind termination shock. In previous simulations, a relatively cold initial distribution of PUIs was assumed; and while the resulting shock-heated distribution was consistent with Voyager 2 LECP measurements at about 30 keV, the intensity of the distribution downstream of the shock in the ~1–10 keV energy range was lower than predictions based on analysis of energetic neutral atoms (ENAs) from the Interstellar Boundary Explorer-Hi and Cassini's Ion and Neutral Camera. …”
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Ensemble Forecasts of Solar Wind Connectivity to 1 Rs Using ADAPT‐WSA by D. E. daSilva, S. Wallace, C. N. Arge, S. Jones

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Radial Evolution of MHD Turbulence Anisotropy in Low Mach Number Solar Wind by Xingyu Zhu, Gary P. Zank, Lingling Zhao, Ashok Silwal

Subjects: “…Solar wind…”
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Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data by H. T. Rüdisser, A. Windisch, U. V. Amerstorfer, C. Möstl, T. Amerstorfer, R. L. Bailey, M. A. Reiss

“…In the past, different approaches have been used to automatically detect events in existing time series resulting from solar wind in situ observations. However, accurate and fast detection still remains a challenge when facing the large amount of data from different instruments. …”
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Research on the Effect of Data Assimilation for Three‐Dimensional MHD Simulation of Solar Wind by Hanke Zhang, Fang Shen, Yi Yang

“…Abstract As an important part of space weather forecasting, the prediction of solar wind parameters in the near‐Earth space is particularly significant. …”
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Quantifying the Effect of ICME Removal and Observation Age for in Situ Solar Wind Data Assimilation by Harriet Turner, Mathew Owens, Matthew Lang, Siegfried Gonzi, Pete Riley

Subjects: “…solar wind…”
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An Efficient, Time‐Dependent High Speed Stream Model and Application to Solar Wind Forecasts by C. Kay, T. Nieves‐Chinchilla, S. J. Hofmeister, E. Palmerio

“…Abstract Predicting space weather effects of the solar wind requires knowing the location and properties of any embedded high speed streams (HSSs) or stream interactions regions (SIRs) that form as the fast solar wind catches up to slow preceding wind. …”
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The Impact of Non‐Equilibrium Plasma Distributions on Solar Wind Measurements by Vigil's Plasma Analyser by H. Zhang, D. Verscharen, G. Nicolaou

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Forecasting GIC Activity Associated With Solar Wind Shocks for the Australian Region Power Network by R. A. Marshall, E. A. Pearce, C. L. Waters, M. Terkildsen

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Energetic Electron Flux Predictions in the Near‐Earth Plasma Sheet From Solar Wind Driving by B. M. Swiger, M. W. Liemohn, N. Y. Ganushkina, S. V. Dubyagin

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Using Solar Orbiter as an Upstream Solar Wind Monitor for Real Time Space Weather Predictions by R. Laker, T. S. Horbury, H. O’Brien, E. J. Fauchon‐Jones, V. Angelini, N. Fargette, T. Amerstorfer, M. Bauer, C. Möstl, E. E. Davies, J. A. Davies, R. Harrison, D. Barnes, M. Dumbović

“…Abstract Coronal mass ejections (CMEs) can create significant disruption to human activities and systems on Earth, much of which can be mitigated with prior warning of the upstream solar wind conditions. However, it is currently extremely challenging to accurately predict the arrival time and internal structure of a CME from coronagraph images alone. …”
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A Nonlinear System Science Approach to Find the Robust Solar Wind Drivers of the Multivariate Magnetosphere by S. Blunier, B. Toledo, J. Rogan, J. A. Valdivia

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Forecasting GICs and Geoelectric Fields From Solar Wind Data Using LSTMs: Application in Austria by R. L. Bailey, R. Leonhardt, C. Möstl, C. Beggan, M. A. Reiss, A. Bhaskar, A. J. Weiss

“…We approach this problem with machine learning tools, specifically recurrent neural networks or LSTMs by taking solar wind observations as input and training the models to predict two different kinds of output: first, the geoelectric field components Ex and Ey; and second, the GICs in specific substations in Austria. …”
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State estimation in an islanded hybrid solar-wind DC microgrid using Unscented Kalman Filter by Nima HajiHeydari Varnoosfaderani, Amir Khorsandi

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An Empirical Relationship Between Coronal Density and Solar Wind Velocity in the Middle Corona With Applications to Space Weather by Kaine A. Bunting, Huw Morgan

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Which Upstream Solar Wind Conditions Matter Most in Predicting Bz Within Coronal Mass Ejections by Pete Riley, M. A. Reiss, C. Möstl

“…These features capture the degree to which the ICME compresses the ambient solar wind ahead. Intuitively, this makes sense: Energy made available to coronal mass ejections (CMEs) as they erupt is partitioned into magnetic and kinetic energy. …”
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