Assessment of drift prediction in ocean models using Lagrangian analysis techniques

Principal investigator

Donovan James McMurrich Allum (Ph.D. student), University of Waterloo

Co-Principal investigators

Supervisors: Marek Stastna & Simon St-Onge Drouin & Graig Sutherland, University of Waterloo

Call

RQM/MEOPAR TReX Graduate Students & Postdoc Awards

The project is focused on the evaluation of Lagrangian techniques (i.e., the mathematics describing the motion of ocean floats) to provide insight on how to improve drift prediction in ocean forecast models. The Lagrangian techniques are (a) the computation of finite-scale Lyapunov exponents to study dispersion at different length scales and, (b) calculating finite-time Lyapunov exponents to identify Lagrangian coherent structures. The improvement of drift and dispersion models have several real-world applications including supporting search and rescue operations, planning for oil spill response, and tracking marine pollution and contaminants.