Journal Articles

Assessing machine learning and Physics-Informed models for Multi-Lead time sea surface temperature prediction in the Arabian sea
Stochastic Environmental Research and Risk Assessment (2025)

Co-authored study evaluating the performance of machine learning and physics-informed models for multi-lead time sea surface temperature forecasting in the Arabian Sea.

Sunil, A., Deepthi, B., Rashid, M., Sreedhar, R., Ganjir, G., & Adarsh, S. (2025). Assessing machine learning and Physics-Informed models for Multi-Lead time sea surface temperature prediction in the Arabian sea. Stochastic Environmental Research and Risk Assessment, 39, 4063–4082. View Article

Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcasting with a Multi-Variable U-Net for High-Resolution Precipitation Forecasting
arXiv preprint (2026)

Co-authored research introducing a multi-variable U-Net architecture for physics-based, high-resolution precipitation nowcasting using spatiotemporal radar data.

Sunil, A., Rashid, M., Sivaraju, R. S., Nair, S., & Ghosh, S. (2026). Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcasting with a Multi-Variable U-Net for High-Resolution Precipitation Forecasting. arXiv preprint arXiv:2607.16080. View Article