On the considerations of using near real time data for space weather hazard forecasting
Abstract Space weather represents a severe threat to ground‐based infrastructure, satellites
and communications. Accurately forecasting when such threats are likely (eg, when we may …
and communications. Accurately forecasting when such threats are likely (eg, when we may …
Sudden commencements and geomagnetically induced currents in New Zealand: Correlations and dependance
Abstract Changes in the Earth's geomagnetic field induce geoelectric fields in the solid
Earth. These electric fields drive Geomagnetically Induced Currents (GICs) in grounded …
Earth. These electric fields drive Geomagnetically Induced Currents (GICs) in grounded …
Convolutional neural networks for automated ULF wave classification in swarm time series
Ultra-low frequency (ULF) magnetospheric plasma waves play a key role in the dynamics of
the Earth's magnetosphere and, therefore, their importance in Space Weather phenomena is …
the Earth's magnetosphere and, therefore, their importance in Space Weather phenomena is …
Space weather forecasts of ground level space weather in the UK: Evaluating performance and limitations
Abstract Geomagnetically Induced Currents (GICs) are a severe space weather hazard,
driven through coupling between the solar wind and magnetosphere. GICs are rarely …
driven through coupling between the solar wind and magnetosphere. GICs are rarely …
Occurrence of large geomagnetically induced currents within the EPRI SUNBURST monitoring network
Abstract Space weather, a natural hazard, can adversely impact human technological
assets. High‐voltage electric power transmission grids constitute one of the most critical …
assets. High‐voltage electric power transmission grids constitute one of the most critical …
Calculating the High‐Latitude Ionospheric Electrodynamics Using a Machine Learning‐Based Field‐Aligned Current Model
We introduce a new framework called Machine Learning (ML) based Auroral Ionospheric
electrodynamics Model (ML‐AIM). ML‐AIM solves a current continuity equation by utilizing …
electrodynamics Model (ML‐AIM). ML‐AIM solves a current continuity equation by utilizing …
Probabilistic Forecasting of Ground Magnetic Perturbation Spikes at Mid‐Latitude Stations
The prediction of large fluctuations in the ground magnetic field (dB/dt) is essential for
preventing damage from Geomagnetically Induced Currents. Directly forecasting these …
preventing damage from Geomagnetically Induced Currents. Directly forecasting these …
The Response of Ionospheric Currents to External Drivers Investigated Using a Neural Network‐Based Model
A predictive model for the variation of ionospheric currents is of great scientific and practical
importance to our modern industrial society. To study the response of ionospheric currents to …
importance to our modern industrial society. To study the response of ionospheric currents to …
Gated Recurrent Unit (GRU)-Based GIC Prediction Using dB/dt as a Proxy
Geomagnetically induced currents (GICs) pose a significant threat to power systems during
geomagnetic storms. This work introduces a GRU approach for GICs forecasting based on …
geomagnetic storms. This work introduces a GRU approach for GICs forecasting based on …