3 papers
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…
cs.LG2024
Enhanced Precision in Rainfall Forecasting for Mumbai: Utilizing Physics Informed ConvLSTM2D Models for Finer Spatial and Temporal Resolution
Ajay Devda, Akshay Sunil, Murthy R +1
Forecasting rainfall in tropical areas is challenging due to complex atmospheric behaviour, elevated humidity levels, and the common presence of convective rain events. In the Indi…