Call
RQM/MEOPAR TReX Graduate Students & Postdoc Awards
In this project, we developed and trained machine learning models for predicting tracer and contaminant dispersionin the Gulf of St. Lawrence, leveraging data collected by the RQM/MEOPAR Tracer Release Experiment (TReX). There have been few attempts using machine learning to study ocean dispersion and none in the Gulf of St. Lawrence. A successful machine learning model for this task would have the potential to pro-vide rapid estimates that could be used in combination with numerical models and field observations to further assess contingency plans.
