Development of automated operational space weather pipeline and CME event analysis using aditya-L1 data

Abstract

This thesis explores a critical area in space weather research: the design and development of an Automated Space Weather Framework. Solar wind and coronal mass ejections (CMEs) are fundamental drivers of space weather, and effective prediction and mitigation depend on precise, automated, and operational forecasting of these phenomena. The aim of this work is to develop a fully operational, end-to-end, automated space weather forecasting system for the SWASTi framework. Space Weather Adaptive Simulation( SWASTi) is a numerical framework for simulating ambient solar wind and CME. The automated architecture enables the integration of various space weather modules such as Solar wind Module, CME module, and others into a cohesive tool providing space weather modeling. The system deployed on a compute cluster enables seamless interaction and remote operations of the automated level architecture to create advanced modeling that simulates processes from the Sun to Earth or any other user-specified vantage point. Visualization tools are implemented as modular components that can seamlessly integrate with any preinstalled simulation or forecasting module in the system, provided their outputs are compatible. This design ensures efficient data interaction and analysis. The automated system allows users to interact through a front end, where they can run complex, coupled simulations and view, retrieve, and visualize output data. This setup also enables model output validation and comparison, providing a robust platform for operational space weather forecasting.