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The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting
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Fast Bayesian approach for parameter estimation
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Statistical Assessment of Photospheric Magnetic Features in Imminent Solar Flare Predictions
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ImageNet Large Scale Visual Recognition Challenge
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Robustness in the Strategy of Scientific Model Building
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An Information-Theoretical Approach to Space Weather
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Applications of NARMAX in Space Weather
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Probabilistic Forecasting of Geomagnetic Indices Using Gaussian Process Models
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Artificial Neural Networks for Determining Magnetospheric Conditions
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Reconstruction of Plasma Electron Density From Satellite Measurements Via Artificial Neural Networks
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Classification of Magnetospheric Particle Distributions Via Neural Networks
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Machine Learning for Flare Forecasting
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Solar Wind Classification Via k -Means Clustering Algorithm
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Machine Learning Techniques for Space Weather
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Classification of solar wind structures and intense geomagnetic storm alarms with self-organizing maps
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Forecasting the geomagnetic activity of the Dst index using multiscale radial basis function networks
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Solar flare forecasting model supported with artificial neural network techniques
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Application of support vector machine combined with K-nearest neighbors in solar flare and solar proton events forecasting
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Application of neural networks to South African GPS TEC modelling
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Predictive Space Weather: An information theory approach
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Strong geomagnetic activity forecast by neural networks under dominant southern orientation of the interplanetary magnetic field
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Sentiment classification of online reviews to travel destinations by supervised machine learning approaches
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Introducing a new learning method for fuzzy descriptor systems with the aid of spectral analysis to forecast solar activity
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AE index forecast at different time scales through an ANN algorithm based on L1 IMF and plasma measurements
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Probabilistic space weather forecast of the relativistic electron flux enhancement at geosynchronous orbit
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Prediction of global positioning system total electron content using Neural Networks over South Africa
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Forecasting solar cycle 24 using neural networks
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Predicting foF2 in the China region using the neural networks improved by the genetic algorithm
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A neural network Dst index model driven by input time histories of the solar wind–magnetosphere interaction
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Relevance vector machines as a tool for forecasting geomagnetic storms during years 1996–2007
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Adaptive numerical algorithms in space weather modeling
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Hidden physics models: Machine learning of nonlinear partial differential equations
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Extreme learning machine: Theory and applications
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Trends in extreme learning machines: A review
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Deep Learning for real-time gravitational wave detection and parameter estimation: Results with Advanced LIGO data
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Support Vector Machine combined with Distance Correlation learning for Dst forecasting during intense geomagnetic storms
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Prediction of daily average solar wind velocity from solar magnetic field observations using hybrid intelligent systems
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Operational models for forecasting Dst
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A kernel-based technique for forecasting geomagnetic activity and prediction of Dst
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Short-term prediction of solar proton events by neural network method
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Reinforcement Learning: An Introduction
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Ionospheric foF2 storm forecasting using neural networks
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Real time Kp predictions from solar wind data using neural networks
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Probabilistic Forecasting and Bayesian Data Assimilation
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On the Prediction of Maximum Amplitude for Solar Cycles Using Geomagnetic Precursors
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Automatic Solar Flare Detection Using Neural Network Techniques
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A neural network study of the mapping from solar magnetic fields to the daily average solar wind velocity
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Forecasting auroral electrojet activity from solar wind input with neural networks
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On the predictability of f0F2 using neural networks
inferredcites →https://doi.org/10.1029/2000gl012681openalex-snapshot
Quantitative prediction of radiation belt electrons at geostationary orbit based on solar wind measurements
inferredcites →https://doi.org/10.1029/2000ja900137openalex-snapshot
Optimization of the neural‐network geomagnetic model for forecasting large‐amplitude substorm events
inferredcites →https://doi.org/10.1029/2000ja900162openalex-snapshot
Identification of nonlinear processes in the magnetospheric dynamics and forecasting of Dst index
inferredcites →https://doi.org/10.1029/2001ja900118openalex-snapshot
Support vector machine as an efficient tool for high‐dimensional data processing: Application to substorm forecasting
inferredcites →https://doi.org/10.1029/2002gl016151openalex-snapshot
Operational forecasts of the geomagnetic Dst index
inferredcites →https://doi.org/10.1029/2002ja009324openalex-snapshot
An empirical dynamic equation for energetic electrons at geosynchronous orbit
inferredcites →https://doi.org/10.1029/2003sw000036openalex-snapshot
Adaptive linear prediction of radiation belt electrons using the Kalman filter
inferredcites →https://doi.org/10.1029/2003sw000039openalex-snapshot
Black box modeling of magnetospheric dynamics to forecast geomagnetic activity
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Data‐derived forecasting model for relativistic electron intensity at geosynchronous orbit
inferredcites →https://doi.org/10.1029/2004ja010638openalex-snapshot
A solar cycle dependence of nonlinearity in magnetospheric activity
inferredcites →https://doi.org/10.1029/2004rs003223openalex-snapshot
On the global model for f o F 2 using neural networks
inferredcites →https://doi.org/10.1029/2005rs003285openalex-snapshot
Forecasting total electron content maps by neural network technique
inferredcites →https://doi.org/10.1029/2005sw000209openalex-snapshot
Locally linear neurofuzzy modeling and prediction of geomagnetic disturbances based on solar wind conditions
inferredcites →https://doi.org/10.1029/2006ja012015openalex-snapshot
A nearly universal solar wind‐magnetosphere coupling function inferred from 10 magnetospheric state variables
inferredcites →https://doi.org/10.1029/2006ja012136openalex-snapshot
Data mining in space physics: MineTool algorithm
inferredcites →https://doi.org/10.1029/2007ja012514openalex-snapshot
Properties of AE indices derived from real‐time global simulation and their implications for solar wind‐magnetosphere coupling
inferredcites →https://doi.org/10.1029/2007ja012646openalex-snapshot
The rudiments of a theory of solar wind/magnetosphere coupling derived from first principles
inferredcites →https://doi.org/10.1029/2007sw000354openalex-snapshot
Quantitative forecast of relativistic electron flux at geosynchronous orbit based on low‐energy electron flux
inferredcites →https://doi.org/10.1029/2008gl034688openalex-snapshot
A predictive model for relativistic electrons at geostationary orbit
inferredcites →https://doi.org/10.1029/2008sw000407openalex-snapshot
Real‐time prediction of magnetospheric activity using the Boyle Index
inferredcites →https://doi.org/10.1029/2008sw000421openalex-snapshot
Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network‐based model
inferredcites →https://doi.org/10.1029/2009ja014202openalex-snapshot
A new multivariate time series data analysis technique: Automated detection of flux transfer events using Cluster data
inferredcites →https://doi.org/10.1029/2009sw000532openalex-snapshot
Survey and prediction of the ionospheric scintillation using data mining techniques
inferredcites →https://doi.org/10.1029/2010ja015529openalex-snapshot
Forecasting the local ionospheric foF2 parameter 1 hour ahead during disturbed geomagnetic conditions
inferredcites →https://doi.org/10.1029/2010rs004633openalex-snapshot
Forecasting of low‐latitude storm‐time ionospheric foF2 using support vector machine
inferredcites →https://doi.org/10.1029/2010sw000576openalex-snapshot
A neural network-based geosynchronous relativistic electron flux forecasting model
inferredcites →https://doi.org/10.1029/2010sw000581openalex-snapshot
Comparing geosynchronous relativistic electron prediction models
inferredcites →https://doi.org/10.1029/2011gl048980openalex-snapshot
Using the NARMAX approach to model the evolution of energetic electrons fluxes at geostationary orbit
inferredcites →https://doi.org/10.1029/2011ja016872openalex-snapshot
Comparison of Dst forecast models for intense geomagnetic storms
inferredcites →https://doi.org/10.1029/2011sw000659openalex-snapshot
Improved forecasts of solar wind parameters using the Kalman filter
inferredcites →https://doi.org/10.1029/2011sw000663openalex-snapshot
Wang‐Sheeley‐Arge–Enlil Cone Model Transitions to Operations
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Bayesian prediction of geomagnetic storms: Wind data, 1996–2010
inferredcites →https://doi.org/10.1029/2012gm001310openalex-snapshot
Outer Radiation Belt Flux Dropouts: Current Understanding and Unresolved Questions
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Improvements in short‐term forecasting of geomagnetic activity
inferredcites →https://doi.org/10.1029/2018ja025430openalex-snapshot
Exploration of a Composite Index to Describe Magnetospheric Activity: Reduction of the Magnetospheric State Vector to a Single Scalar
inferredcites →https://doi.org/10.1029/2018ja025780openalex-snapshot
The Effects of Uncertainty in Initial CME Input Parameters on Deflection, Rotation, Bz, and Arrival Time Predictions
inferredcites →https://doi.org/10.1029/2018ja025877openalex-snapshot
Snakes on a Spaceship—An Overview of Python in Heliophysics
inferredcites →https://doi.org/10.1029/2018ja026167openalex-snapshot
Improvement of a Deep Learning Algorithm for Total Electron Content Maps: Image Completion
inferredcites →https://doi.org/10.1029/2018sw001806openalex-snapshot
Effect of the Initial Shape of Coronal Mass Ejections on 3‐D MHD Simulations and Geoeffectiveness Predictions
inferredcites →https://doi.org/10.1029/2018sw001829openalex-snapshot
Quantitative Prediction of High‐Energy Electron Integral Flux at Geostationary Orbit Based on Deep Learning
inferredcites →https://doi.org/10.1029/2018sw001861openalex-snapshot
The Importance of Ensemble Techniques for Operational Space Weather Forecasting
inferredcites →https://doi.org/10.1029/2018sw001863openalex-snapshot
Prediction of the Dst Index and Analysis of Its Dependence on Solar Wind Parameters Using Neural Network
inferredcites →https://doi.org/10.1029/2018sw001898openalex-snapshot
Multiple‐Hour‐Ahead Forecast of the Dst Index Using a Combination of Long Short‐Term Memory Neural Network and Gaussian Process
inferredcites →https://doi.org/10.1029/2018sw001944openalex-snapshot
Forecasting the Structure and Orientation of Earthbound Coronal Mass Ejections
inferredcites →https://doi.org/10.1029/2018sw001953openalex-snapshot
Real‐Time SWMF at CCMC: Assessing the Dst Output From Continuous Operational Simulations
inferredcites →https://doi.org/10.1029/2018sw001955openalex-snapshot
Prediction of Solar Wind Speed at 1 AU Using an Artificial Neural Network
inferredcites →https://doi.org/10.1029/2018sw001962openalex-snapshot
Forecasting the Arrival Time of Coronal Mass Ejections: Analysis of the CCMC CME Scoreboard
inferredcites →https://doi.org/10.1029/2018sw002000openalex-snapshot
Perturbed Input Ensemble Modeling With the Space Weather Modeling Framework
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Learning to forget: continual prediction with LSTM
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inferred← citeshttps://doi.org/10.1029/2022ja030377openalex-snapshot
Data‐Driven Discovery of Fokker‐Planck Equation for the Earth's Radiation Belts Electrons Using Physics‐Informed Neural Networks
inferred← citeshttps://doi.org/10.1029/2022ja031066openalex-snapshot
Global Structure of Magnetotail Reconnection Revealed by Mining Space Magnetometer Data
inferred← citeshttps://doi.org/10.1029/2022ja031183openalex-snapshot
Predicting Swarm Equatorial Plasma Bubbles via Machine Learning and Shapley Values
inferred← citeshttps://doi.org/10.1029/2022sw003045openalex-snapshot
Global Geomagnetic Perturbation Forecasting Using Deep Learning
inferred← citeshttps://doi.org/10.1029/2022sw003051openalex-snapshot
Ensemble Modeling of Radiation Belt Electron Flux Decay Following a Geomagnetic Storm: Dependence on Key Input Parameters
inferred← citeshttps://doi.org/10.1029/2022sw003061openalex-snapshot
A Regional Ionospheric Storm Forecasting Method Using a Deep Learning Algorithm: LSTM
inferred← citeshttps://doi.org/10.1029/2022sw003064openalex-snapshot
Probabilistic Prediction of Dst Storms One‐Day‐Ahead Using Full‐Disk SoHO Images
inferred← citeshttps://doi.org/10.1029/2022sw003135openalex-snapshot
ML Prediction of Global Ionospheric TEC Maps
inferred← citeshttps://doi.org/10.1029/2022sw003200openalex-snapshot
Exploring the Potential of Neural Networks to Predict Statistics of Solar Wind Turbulence
inferred← citeshttps://doi.org/10.1029/2022sw003231openalex-snapshot
Global Ionospheric TEC Forecasting for Geomagnetic Storm Time Using a Deep Learning‐Based Multi‐Model Ensemble Method
inferred← citeshttps://doi.org/10.1029/2022sw003286openalex-snapshot
Multi‐Hour‐Ahead Dst Index Prediction Using Multi‐Fidelity Boosted Neural Networks
inferred← citeshttps://doi.org/10.1029/2022sw003339openalex-snapshot
Opening the Black Box of the Radiation Belt Machine Learning Model
inferred← citeshttps://doi.org/10.1029/2022sw003387openalex-snapshot
Prediction of Proton Pressure in the Outer Part of the Inner Magnetosphere Using Machine Learning
inferred← citeshttps://doi.org/10.1029/2023ea002960openalex-snapshot
Classifying Interplanetary Discontinuities Using Supervised Machine Learning
inferred← citeshttps://doi.org/10.1029/2023gl103626openalex-snapshot
Statistical Decomposition and Machine Learning to Clean In Situ Spaceflight Magnetic Field Measurements
inferred← citeshttps://doi.org/10.1029/2023ja031478openalex-snapshot
Evaluating Auroral Forecasts Against Satellite Observations Under Different Levels of Geomagnetic Activity
inferred← citeshttps://doi.org/10.1029/2023sw003446openalex-snapshot
Probabilistic Forecasting of Ground Magnetic Perturbation Spikes at Mid‐Latitude Stations
inferred← citeshttps://doi.org/10.1029/2023sw003474openalex-snapshot
Forecasting Geomagnetic Storm Disturbances and Their Uncertainties Using Deep Learning
inferred← citeshttps://doi.org/10.1029/2023sw003485openalex-snapshot
Neural Networks for Operational SYM‐H Forecasting Using Attention and SWICS Plasma Features
inferred← citeshttps://doi.org/10.1029/2023sw003497openalex-snapshot
Refined Modeling of Geoeffective Fast Halo CMEs During Solar Cycle 24
inferred← citeshttps://doi.org/10.1029/2023sw003516openalex-snapshot
Unsupervised Anomaly Detection With Variational Autoencoders Applied to Full‐Disk Solar Images
inferred← citeshttps://doi.org/10.1029/2023sw003524openalex-snapshot
Distribution and Evolution of Chorus Waves Modeled by a Neural Network: The Importance of Imbalanced Regression
inferred← citeshttps://doi.org/10.1029/2023sw003561openalex-snapshot
Prediction of Solar Wind Speed Through Machine Learning From Extrapolated Solar Coronal Magnetic Field
inferred← citeshttps://doi.org/10.1029/2023sw003593openalex-snapshot
A Surrogate Model for Studying Solar Energetic Particle Transport and the Seed Population
inferred← citeshttps://doi.org/10.1029/2023sw003765openalex-snapshot
MEMPSEP‐III. A Machine Learning‐Oriented Multivariate Data Set for Forecasting the Occurrence and Properties of Solar Energetic Particle Events Using a Multivariate Ensemble Approach
inferred← citeshttps://doi.org/10.1029/2023sw003796openalex-snapshot
Collection, Collation, and Comparison of 3D Coronal CME Reconstructions
inferred← citeshttps://doi.org/10.1029/2023sw003824openalex-snapshot
Prediction of the SYM‐H Index Using a Bayesian Deep Learning Method With Uncertainty Quantification
inferred← citeshttps://doi.org/10.1029/2024ea003753openalex-snapshot
Generalized Time‐Series Analysis for In Situ Spacecraft Observations: Anomaly Detection and Data Prioritization Using Principal Components Analysis and Unsupervised Clustering
inferred← citeshttps://doi.org/10.1029/2024ea003937openalex-snapshot
Extreme Space Weather Events of the Past 30 Years: Preparation for Data From Mission Vigil
inferred← citeshttps://doi.org/10.1029/2024ea003945openalex-snapshot
Automatic Identification of Past Radiation Belts Electron Enhancement Events Using a Ground‐Based Parameter
inferred← citeshttps://doi.org/10.1029/2024jh000499openalex-snapshot
Classification of High‐Latitude Source Region‐Based Ionospheric Scintillation Signatures Using Machine Learning
inferred← citeshttps://doi.org/10.1029/2024jh000566openalex-snapshot
Comparison of Solar Imaging Feature Extraction Methods in the Context of Space Weather Prediction With Deep Learning‐Based Models
inferred← citeshttps://doi.org/10.1029/2024sw003868openalex-snapshot
A Framework for Evaluating Geomagnetic Indices Forecasting Models
inferred← citeshttps://doi.org/10.1029/2024sw003875openalex-snapshot
Prediction of Solar Coronal Structures Using Fourier Neural Operators Based on the Solar Photospheric Magnetic Field Observation
inferred← citeshttps://doi.org/10.1029/2024sw003876openalex-snapshot
Quantifying the Spatiotemporal Evolution of Radiation Belt Electrons Scattered by Lower Band Chorus Waves: An Integrated Model
inferred← citeshttps://doi.org/10.1029/2024sw003925openalex-snapshot
Calibration of Swarm Plasma Densities Overestimation Using Neural Networks
inferred← citeshttps://doi.org/10.1029/2024sw003950openalex-snapshot
On the Performance of a Real‐Time Electron Radiation Belt Specification Model
inferred← citeshttps://doi.org/10.1029/2024sw003964openalex-snapshot
Predicting Interplanetary Shock Occurrence for Solar Cycle 25: Opportunities and Challenges in Space Weather Research
inferred← citeshttps://doi.org/10.1029/2024sw004074openalex-snapshot
Predicting Geomagnetic Activity Cycles
inferred← citeshttps://doi.org/10.1029/2024sw004090openalex-snapshot
Forecasting of the Geomagnetic Activity for the Next 3 Days Utilizing Neural Networks Based on Parameters Related to Large‐Scale Structures of the Solar Corona
inferred← citeshttps://doi.org/10.1029/2024sw004160openalex-snapshot
Predicting the SYM‐H Index Using the Ring Current Energy Balance Mechanism
inferred← citeshttps://doi.org/10.1029/2024sw004214openalex-snapshot
Predicting Equatorial Spread F at JICAMARCA Sector Via Supervised Machine Learning
inferred← citeshttps://doi.org/10.1029/2024sw004236openalex-snapshot
Imbalanced Regression Artificial Neural Network Model for Auroral Electrojet Indices (IRANNA): Can We Predict Strong Events?
inferred← citeshttps://doi.org/10.1029/2024sw004249openalex-snapshot
Reconstructing Equatorial Electron Flux Measurements From Low‐Earth‐Orbit: A Conjunction Based Framework
inferred← citeshttps://doi.org/10.1029/2025ea004331openalex-snapshot
Artificial Neural Network Model of High‐Latitude Ionospheric Electric Potential: Hemispheric and Equinoctial Asymmetries
inferred← citeshttps://doi.org/10.1029/2025ea004622openalex-snapshot
A New Global Climatological Model of the Equatorial Ionospheric Vertical E × B Drift: Integrating Ground‐Based Magnetometer, Radar, and Satellite Data Sets
inferred← citeshttps://doi.org/10.1029/2025ea004633openalex-snapshot
A Probabilistic Model for Global EMIC Wave Activity Using Van Allen Probes Observations
inferred← citeshttps://doi.org/10.1029/2025gl120163openalex-snapshot
A Neural Network Model of Equatorial Electric Field Structures in the Inner Magnetosphere
inferred← citeshttps://doi.org/10.1029/2025jh000858openalex-snapshot
CNN‐Based Model for 3D CME Parameter Prediction – A Proof of Concept
inferred← citeshttps://doi.org/10.1029/2025jh001140openalex-snapshot
Reconstruction of Two‐Dimensional Magnetohydrodynamic and Hall Magnetohydrodynamic Equilibria in Space Using Physics‐Informed Neural Networks
inferred← citeshttps://doi.org/10.1029/2025sw004419openalex-snapshot
Cross‐Calibrated FY‐4A and GOES‐15 Data for >2 MeV Electron Flux Prediction at Geosynchronous Orbit: A Machine Learning Approach
inferred← citeshttps://doi.org/10.1029/2025sw004491openalex-snapshot
Reduced Order Probabilistic Emulator of RAM‐SCB: Toward Non‐Linearity With Autoencoders
inferred← citeshttps://doi.org/10.1029/2025sw004546openalex-snapshot
Verification of the NOAA Space Weather Prediction Center Solar Flare Forecast (1998–2024)
inferred← citeshttps://doi.org/10.1029/2025sw004654openalex-snapshot
Forecasting Local Geomagnetic Disturbances Using Machine Learning: A Multi‐Station Approach
inferred← citeshttps://doi.org/10.1029/2025sw004757openalex-snapshot
Reconstructing Historical Solar Indices for Predicting Past Space Weather Events
inferred← citeshttps://doi.org/10.1029/2025sw004777openalex-snapshot
Soft Proton Environment Modeling for SMILE Using XGBoost and Solar Cycle–Informed Synthetic Data Sets
inferred← citeshttps://doi.org/10.1029/2026ja035567openalex-snapshot
Predicting Ionospheric Cusp Location From Solar Wind: An XGBoost Model Trained on 27 Years of DMSP Data
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