Terminal Weather and Disaster Station (Linux/Windows/Unix/MacOS)
Source code for ARGUS (AI-based Reconstruction of the Geospace Unified System). The principal part is the FORTRAN source code for the Stephens et al. (2019) empirical geomagnetic field model, termed SST19, (https://doi.org/10.1029/2018JA025843).
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.
🛰️ 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
🚀 CosmoPredict is an AI-powered Space Weather & Rocket Simulation platform that uses real-time NASA/NOAA data, Machine Learning, and 3D visualization to predict geomagnetic storms and analyze their impact on rocket trajectories and satellite systems.
In this challenge, your task is to develop models for forecasting Dst that push the boundary of predictive performance, under operationally viable constraints, using the real-time solar-wind (RTSW) data feeds from NOAA’s DSCOVR and NASA’s ACE satellites. Improved models can provide more advanced warning of geomagnetic storms and reduce errors in...
This script looks at the constant data coming from the ACE-satellite and evaluates a chance of northern lights.
Framework for benchmarking spatiotemporal models for global ionosphere forecasting
The Nikola Tesla Institute Space Weather Station System
Interactive Space Weather Analysis
Real-time space weather visualization using NASA DONKI APIs — monitor solar flares, CMEs, geomagnetic storms, and solar energetic particle events with Python.
Research-grade space weather simulation dashboard using real NOAA and NASA data for CME propagation, Kp estimation, impact assessment, synchronized playback, and optional 3D visualization — fully client-side.
Нейросетевое прогнозирование индексов кольцевого тока и авроральной активности по данным солнечного ветра
Space-weather intelligence construct that turns NOAA SWPC + NASA DONKI feeds into structured prediction-market surfaces, Brier-scored certificates, and regression-gated calibration provenance.
Python project for identifying geomagnetic storms using Dst index and analyzing the Russell-McPherron Effect
A project developed during NASA SpaceAppsChallenge
Archivos relacionado con mi proyecto de TFG de Física en la UCM, Tormentas Geomagnéticas y su Impacto en la Biosfera (Geomagnetic Storms and Their Impact on the Geomagnetic Field)
LSTM neural networks forecasting the geomagnetic Kp index across multiple time horizons
Web geomagnetic storm simulator with 3d interactive view and effects on earth. Case study of geomagnetic storm of march 2025. Made for Blueprint 2025
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