Depth-Resolved Coral Reef Thermal Fields from Satellite SST and Sparse In-Situ Loggers Using Physics-Informed Neural Networks

Create an open-source library for fusing satellite SST data with sparse in-situ loggers using PINNs. This tool would be invaluable for climate scientists needing accurate subsurface thermal mapping.

Suggested repo: ReefThermalPINN

"Physics-aware deep learning to uncover hidden subsurface heat stress."

Estimated effort: 80h