SAASST News

Tuesday, 20 June 2023 05:59

SAASST Space Weather Workshop Understanding the Solar Terrestrial Interaction

The Space Weather and Ionospheric Laboratory at the Sharjah Academy for Astronomy, Space Sciences, and Technology organized a workshop on Jun. 30, 2023, titled “Understanding the Solar Terrestrial Interaction.” A large number of researchers and students attended the workshop.

Understanding the solar-terrestrial interaction is a fascinating area of scientific exploration that delves into the intricate relationship between the Sun and Earth. This field of study encompasses various phenomena, such as solar flares, coronal mass ejections, and the impact of solar radiation on our planet. By examining these interactions, scientists can unravel the complex processes that shape our space environment and affect terrestrial systems. Through observations from satellites, ground-based instruments, and numerical simulations, researchers strive to comprehend the intricate dynamics of the Sun-Earth connection. Understanding this interaction is crucial for predicting and mitigating potential space weather hazards that can impact technological infrastructure, communication networks, and even human health. Furthermore, it deepens our knowledge of the fundamental workings of the universe and sheds light on the intricate interplay between celestial bodies.

The program of the workshop included the following topics:

09:30 – 09:40    Opening Remarks – Ilias Fernini

09:40 – 10:10    Understanding the Solar-Terrestrial Interaction - Muhammad Mubasshir Shaikh

10:10 – 10:30    Understanding Geomagnetic Storms - Alya Saeed

10:30 – 10:45    Understanding Modelling using Multi-source Data Ingestion - Manar Anwer Khaleel

10:45 – 11:30    Understanding the Ionosphere using GNSS - Abdollah Masoud Darya

11:30 – 11:45     Understanding Ionospheric Data Processing & Data Management - Sultan Suhail Halawa

11:45 – 12:00    Break and Shifting to the Smart Room for Practical Session

12:00 – 13:00    Understanding Data Processing using Machine Learning Tools in MATLAB - Abdollah Masoud Darya