3 papers
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…
math.OC2024
Adaptive (re)operations facilitate environmental flow maintenance downstream of multi-purpose reservoirs
Akshay Sunil, Riddhi Singh, Manvitha Molakala
Multi-purpose reservoirs support socioeconomic development by providing irrigation, domestic water supply, hydropower, and other services. However, impoundment of water impacts ins…
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…