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…