Detection of Mesoscale Oceanic Eddies Over Bay of Bengal Using Explainable Deep Learning
Explore the detection of mesoscale oceanic eddies in the Bay of Bengal using explainable deep learning techniques in this conference talk by Saurabh Rathore. Gain insights into cutting-edge methods for identifying and analyzing these important oceanic features, which play a crucial role in ocean dynamics and climate systems. Learn how advanced machine learning approaches are being applied to oceanographic data to improve our understanding of eddy formation, propagation, and impact in this complex region. Discover the potential of explainable AI to enhance the interpretation and validation of deep learning models in geophysical fluid dynamics research. This presentation is part of the "Theoretical and Practical Perspectives in Geophysical Fluid Dynamics" program, which brings together experts to discuss multi-scale and multi-physics topics in ocean and atmospheric sciences.