AutoiCmEDetection

An ontology representing the domain of space weather

Understanding and predicting the distribution and concentration of free electrons (TEC/TECU) in the ionosphere that result from solar and cosmic radiation hitting the Earth.

Prototype for Voice enabled web services for space weather forecasting

A collection of Python codes for VLF study...

The Nikola Tesla Institute Space Weather Station System

Predict the Thermosphere density (Space Weather science)

View and analyze data acquired with your AWESOME receiver

Sun activity and propagation bot for telegram.

This project analyses space wether data of solar wind parameters and geomagnetic parameters, it establishes to observe the statistical relationships between all these parameters and highlights their behaviour during major space weather events such as solar flares and corona mass ejections that may subsequently result to geomagnetic storms.

Traveling Ionospheric Disturbances Forecasting System, funded by the European Community, Horizon Europe

Repository for my Bachelor's Thesis, developed at the Heliophysics Science Division of NASA Goddard Space Flight Center under the supervision of Dr. Teresa Nieves-Chinchilla.

This repository provides the python-based code for Coronal Mass Ejection(CME) arrival forecast using Drag Based Model(DBM).

Atmospheric ionization from particle precipitation

Predictive model of solar magnetic flux emergence using deep learning

This repository provides a python code to infer morphological parameters of Coronal Mass Ejection using Cone model given by Xie et al.,2004.

Forward modeling of solar storm magnetic flux ropes for space weather prediction.

CME measurements using GCS forward modeling techniques to create a common set of parameters to aid in CME propagation modeling assessment

Verifying the predictions of solar coronal mass ejections (CMEs) with multipoint in situ data, and deriving statistics of CME parameters for the 4 terrestrial planets and Parker Solar Probe.