Dynamical Complexity Transitions During High‐Intensity Long Duration Continuous Auroral Activities (HILDCAA) Events: Feature Analysis Based on Neural Network Entropy by I. A. Oludehinwa, A. Velichko, B. O. Ogunsua, O. I. Olusola, O. O. Odeyemi

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A Model of High Latitude Ionospheric Convection Derived From SuperDARN EOF Model Data by M. M. Lam, R. M. Shore, G. Chisham, M. P. Freeman, A. Grocott, M.‐T. Walach, L. Orr

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Employing the Coupled EUHFORIA‐OpenGGCM Model to Predict CME Geoeffectiveness by Anwesha Maharana, W. Douglas Cramer, Evangelia Samara, Camilla Scolini, Joachim Raeder, Stefaan Poedts

Subjects: “…solar wind/magnetosphere interactions…”
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Magnetopause Standoff Position Changes and Geosynchronous Orbit Crossings: Models and Observations by Y. M. Collado‐Vega, P. Dredger, R. E. Lopez, S. Khurana, L. Rastaetter, D. Sibeck, M. Anastopulos

“…The magnetopause position prediction and response time to the solar wind changes is then compared to extreme solar wind conditions where magnetopause crossing of geosynchronous orbit have been observed by the Geostationary Operational Environmental Satellite (GOES) satellites. …”
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Quantifying the Uncertainty in CME Kinematics Derived From Geometric Modeling of Heliospheric Imager Data by L. Barnard, M. J. Owens, C. J. Scott, M. Lockwood, C. A. deKoning, T. Amerstorfer, J. Hinterreiter, C. Möstl, J. A. Davies, P. Riley

“…We use a large number of Cone CME simulations with the HUXt solar wind model to quantify the scale of uncertainty introduced into geometric modeling and the ELEvoHI CME arrival times by solar wind structure. …”
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Investigating Potential Causes for the Prediction of Spurious Magnetopause Crossings at Geosynchronous Orbit in MHD Simulations by Pauline M. Dredger, Ramon E. Lopez, Yaireska M. Collado‐Vega, Shreeya Khurana, Lutz M. Rastaetter

“…Spacecraft operators turn to numerical models to predict the response of the magnetopause to solar wind conditions, but the predictions of the models are not always accurate. …”
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SIR‐HUXt—A Particle Filter Data Assimilation Scheme for CME Time‐Elongation Profiles by Luke Barnard, Mathew Owens, Chris Scott, Matthew Lang, Mike Lockwood

“…The idealized scenario studied here likely enhances SIR‐HUXt's performance relative to the challenge of simulating real‐world CMEs and solar wind conditions. Future work should validate SIR‐HUXt with case studies of real CMEs in structured solar wind.…”
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Thermosphere‐Ionosphere Modeling With Forecastable Inputs: Case Study of the June 2012 High‐Speed Stream Geomagnetic Storm by Xing Meng, Anthony J. Mannucci, Olga P. Verkhoglyadova, Bruce T. Tsurutani, Aaron J. Ridley, Ja‐Soon Shim

“…We adopt an approach to drive the models with solar wind parameters and the 10.7 cm solar radio flux. …”
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A Framework for Understanding and Quantifying the Loss and Acceleration of Relativistic Electrons in the Outer Radiation Belt During Geomagnetic Storms by Kyle R. Murphy, Ian R. Mann, David G. Sibeck, I. Jonathan Rae, C.E.J. Watt, Louis G. Ozeke, Shri G. Kanekal, Daniel N. Baker

“…During the second phase, radiation belt enhancements are well organized by the amplitude of ultralow frequency waves, the auroral electroject index, and solar wind energy input. Overall, our results demonstrate that storm time dynamics of the RBC is repeatable and well characterized by solar wind and geomagnetic driving, albeit with different dependencies during the two phases of a storm.…”
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Geosynchronous Magnetopause Crossings and Their Relationships With Magnetic Storms and Substorms by A. A. Samsonov, Y. V. Bogdanova, G. Branduardi‐Raymont, L. Xu, J. Zhang, D. Sormakov, O. A. Troshichev, C. Forsyth

“…The difference might be explained by the different behavior of the solar wind velocity.…”
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Space Weather Forecasts of Ground Level Space Weather in the UK: Evaluating Performance and Limitations by A. W. Smith, I. J. Rae, C. Forsyth, J. C. Coxon, M.‐T. Walach, C. J. Lao, D. S. Bloomfield, S. A. Reddy, M. K. Coughlan, A. Keesee, S. Bentley

“…Abstract Geomagnetically Induced Currents (GICs) are a severe space weather hazard, driven through coupling between the solar wind and magnetosphere. GICs are rarely measured directly, instead the ground magnetic field variability is often used as a proxy. …”
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Sensitivity of Model Estimates of CME Propagation and Arrival Time to Inner Boundary Conditions by Lauren A. James, Christopher J. Scott, Luke A. Barnard, Mathew J. Owens, Matthew S. Lang, Shannon R. Jones

“…For the 12 December 2008 Earth‐directed CME event, we compute ensembles using the HUXt solar wind model to analyze CME distortion with a structured solar wind and explore hindcast arrival time error (ATE). …”
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Forecasting the Probability of Large Rates of Change of the Geomagnetic Field in the UK: Timescales, Horizons, and Thresholds by A. W. Smith, C. Forsyth, I. J. Rae, T. M. Garton, T. Bloch, C. M. Jackman, M. Bakrania

“…We attribute this to the use of propagated solar wind data not allowing the models notice to forecast impulsive phenomenon. …”
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Meeting Report: International Magnetosphere Coupling IV (IMC‐IV) Workshop GFZ‐Potsdam, Germany, 2–7 June 2024 by Julia Himmelsbach, Yuri Y. Shprits

“…Abstract The International Magnetospheric Coupling (IMC‐IV) Workshop was held from 2–7 June 2024, at GFZ‐Potsdam, Germany and convened over 140 scientists to explore the solar wind and magnetosphere‐ionosphere‐thermosphere coupling. …”
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Large Geomagnetically Induced Currents at Equator Caused by an Interplanetary Magnetic Cloud by B. Nilam, S. Tulasi Ram

“…Abstract Here, we report a rare observation of an extremely large and rapid change of geomagnetic field (dB/dt), a proxy for the geomagnetically induced currents (GICs), at the equator caused by a sudden drop in solar wind density at the front boundary of a magnetic cloud (MC) during the great 31 March 2001 storm. …”
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MHD‐Test Particles Simulations of Moderate CME and CIR‐Driven Geomagnetic Storms at Solar Minimum by Mary K. Hudson, Scot R. Elkington, Zhao Li, Maulik Patel, Kevin Pham, Kareem Sorathia, Alex Boyd, Allison Jaynes, Alexis Leali

“…Abstract As part of the Whole Heliosphere and Planetary Interactions initiative, contrasting drivers of radiation belt electron response at solar minimum have been investigated with MHD‐test particle simulations for the May 13–14, 2019 Coronal Mass Ejection (CME)‐shock event and the August 30–September 3, 2019 high speed solar wind interval. Both solar wind drivers produced moderate geomagnetic storms characterized by a minimum Dst = −65 nT and −52 nT, respectively, with the August ‐ September event accompanied by prolonged substorm activity. …”
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Probabilistic Forecasting of Ground Magnetic Perturbation Spikes at Mid‐Latitude Stations by Michael Coughlan, Amy Keesee, Victor Pinto, Raman Mukundan, José Paulo Marchezi, Jeremiah Johnson, Hyunju Connor, Don Hampton

“…Overall, we find that the models using both the solar wind and ground magnetometer data had better metric scores than the solar wind only and persistence models, and was able to capture more spatially localized variations in the dB/dt threshold crossings.…”
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Predictive Capabilities of Corotating Interaction Regions Using STEREO and Wind In‐Situ Observations by Yutian Chi, Chenglong Shen, Christopher Scott, Mengjiao Xu, Mathew Owens, Yuming Wang, Mike Lockwood

“…Abstract Solar wind stream interaction regions (SIRs) and corotating interaction regions (CIRs) can cause geomagnetic storms and change energetic particle environment, ionospheric composition on Earth. …”
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Relativistic Electron Model in the Outer Radiation Belt Using a Neural Network Approach by Xiangning Chu, Donglai Ma, Jacob Bortnik, W. Kent Tobiska, Alfredo Cruz, S. Dave Bouwer, Hong Zhao, Qianli Ma, Kun Zhang, Daniel N. Baker, Xinlin Li, Harlan Spence, Geoff Reeves

“…The Outer RadIation belt Electron Neural net model for Relativistic electrons (ORIENT‐R) uses only solar wind conditions and geomagnetic indices as input. …”
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Calculating the High‐Latitude Ionospheric Electrodynamics Using a Machine Learning‐Based Field‐Aligned Current Model by V. Sai Gowtam, Hyunju Connor, Bharat S. R. Kunduri, Joachim Raeder, Karl M. Laundal, S. Tulasi Ram, Dogacan S. Ozturk, Donald Hampton, Shibaji Chakraborty, Charles Owolabi, Amy Keesee

“…ML‐AIM is unique and innovative because it predicts ionospheric responses to the time‐varying solar wind and geomagnetic conditions, while the other traditional empirical models like Weimer (2005, https://doi.org/10.1029/2004ja010884) designed to provide a quasi‐static ionospheric condition under quasi‐steady solar wind/IMF conditions. …”
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