3 papers
cs.LG2026
Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcasting with a Multi-Variable U-Net for High-Resolution Precipitation Forecasting
Akshay Sunil, Muhammed Rashid, Raja Sekhar Sivaraju +2
Precipitation nowcasting over the immediate 10-90 min period is important for flood management and real-time decision-making in urban regions. Conventional short-range forecasting…
physics.ao-ph2026
Toward Trustworthy Short-Range Forecasts with AFNO: From Skill Metrics to Conservation Checks
Akshay Sunil, B. Deepthi, Muhammed Rashid
Data driven weather models now approach traditional numerical weather prediction (NWP) skill at short to medium lead times, but their dynamical consistency during autoregressive ro…
physics.ao-ph2024
Assessing the potential of state-of-the-art machine learning and physics-informed machine learning in predicting sea surface temperature
Akshay Sunil, B Deepthi, Gaurav Ganjir +3
The growing adoption of machine learning (ML) in modelling atmospheric and oceanic processes offers a promising alternative to traditional numerical methods. It is essential to ben…