Abstract. In present work, we have examined the interrelationships between key Solar activity indicators, namely the sunspot number, solar radio flux, and Disturbance Storm Time (Dst) index. These parameters play crucial roles in characterizing solar variability and its effects on the Earth's magnetosphere and ionosphere. Understanding their correlations and interactions is essential for improving space weather forecasting capabilities. Present study reviews existing literature on the subject, highlighting the significance of each parameter, their historical trends, and their impact on space weather phenomena such as geomagnetic storms and solar radiation storms. Additionally, the paper discusses methodologies for analyzing and predicting these parameters, including statistical models and machine learning techniques. By elucidating the connections between sunspot number, solar radio flux, and the Dst index, this research contributes to the advancement of space weather prediction and mitigation strategies.

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