Investigation of the Connection Between the Space Weather and Earth Atmospheric Instabilities Using AI

Abstract

The study of space weather, particularly its influence on Earth's atmospheric dynamics, has gained attention due to its potential impact on various technological systems, communication networks, and even global climate. Recent advancements in Artificial Intelligence (AI) have opened new pathways to investigate and understand the connections between space weather phenomena and atmospheric instabilities on Earth. This paper explores the application of AI models, particularly machine learning (ML) techniques, to examine the interplay between space weather events—such as solar flares, geomagnetic storms, and cosmic rays—and atmospheric disturbances like thunderstorms, turbulence, and jet stream anomalies. By analyzing large datasets from both space weather satellites and ground-based atmospheric sensors, AI-driven algorithms aim to identify correlations and predict how space weather can trigger or exacerbate atmospheric instability