Space Weather JHelioviewer ☉

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Machine Learning tools for Space Weather and Plasma Physics

Space Weather Monitor Application (SWMA) is an open-source application made for visualizing real-time space weather related data.

Visual Studio Code language extension for SWMF configuration files

A Python wrapper for the Australian Bureau of Meteorology's Space Weather API.

pysat support for space weather indices and data sets

Data Driven Thermospheric Density Modeling with Machine Learning

Example of using machine learning for forecasting Vertical Total Electron Content (VTEC) in the ionosphere

Detect and characterize coronal dimming in the Solar Dynamics Observatory Extreme Ultraviolet Variability Experiment data

magneticearth.org: A place to learn about geomagnetism

🛰️ Production-ready ML system for geomagnetic storm prediction | 98% AUC, 70% recall | Threshold-optimized ensemble with real-time inference | 29-year dataset (1996-2025) | NOAA SWPC operational standards | Complete MLOps pipeline

GIC Forecasting & Analysis — A data-driven framework for modeling Geomagnetically Induced Currents using solar wind data, SuperMAG observations, and advanced ML techniques. Integrates domain physics, feature engineering, and imputation strategies to tackle real-world space weather challenges.

Provides the Australian Bureau of Meteorology Space Weather Alert System values

CME SHARP Active region visualisation tool

A model visualizer for MSIS

Personal Active Dosimeter (PAD) training model with optional Dosimeter Display Unit (DDU). The system safely simulates radiation exposure without real hazards.

Calculate the flux of electrons or protons trapped in the Earth's radiation belt using the NASA AE8/AP8 model from IRBEM

This code accompanies the paper "Ensemble Forecasts of Solar Wind Connectivity to 1 Rs using ADAPT-WSA", to be published in the AGU Journal Space Weather in 2023

Framework for benchmarking spatiotemporal models for global ionosphere forecasting