This study focuses on the development of a reconstructed radar reflectivity product by integrating observations from the Dual-frequency Precipitation Radar (DPR) onboard the Global Precipitation Measurement (GPM) mission with the storm index derived from the INSAT-3D geostationary satellite. The primary objective of this approach is to enhance the real-time monitoring of convective storms, particularly over regions where ground-based radar coverage is limited or unavailable. To assess the accuracy and reliability of the reconstructed radar reflectivity, its performance was evaluated against independent DPR observations. The validation results indicate a strong correlation, with a correlation coefficient of 0.81 between the reconstructed reflectivity and DPR-derived radar reflectivity. Additionally, the evaluation reports a bias of 2.28 dBZ and a root mean square error (RMSE) of 6.97 dBZ between the two datasets. Minor discrepancies between the reconstructed reflectivity and DPR observations may arise due to differences in sensor platforms, variations in the temporal and spatial resolutions of satellite and radar data, weak correlations between shallow storms and the storm index, and challenges in characterizing shallow storms over India’s complex terrain. Despite these limitations, the derived reconstructed radar reflectivity offers significant advantages for nowcasting convective storm clusters and heavy precipitation events, providing an additional resource for meteorologists, disaster managers, and aviation forecasters. Furthermore, this product is particularly valuable for weather monitoring in radar-deficient regions, extending observational capabilities and improving the early detection of severe weather systems.