Horizontal transport in oil-spill modeling
Rodrigo Duran, Tor Nordam, Mattia Serra, Chris Barker

TL;DR
This paper discusses challenges in oil-spill trajectory modeling due to missing or inaccurate ocean current data and proposes advanced Lagrangian techniques and physical insights to improve prediction accuracy, demonstrated through case studies.
Contribution
It introduces the application of Lagrangian Coherent Structures and Objective Eulerian Coherent Structures to enhance oil-spill trajectory predictions despite velocity errors.
Findings
Lagrangian techniques can bypass localized velocity errors.
Objective Eulerian Coherent Structures predict transport patterns in imperfect data.
Physical understanding of ocean motion aids in identifying missing physics.
Abstract
Simulating oil transport in the ocean can be done successfully provided that accurate ocean currents and surface winds are available -- this is often too big of a challenge. Deficient ocean currents can sometimes be remediated by parameterizing missing physics -- this is often not enough. In this chapter, we focus on some of the main problems oil-spill modelers face, which is determining accurate trajectories when the velocity may be missing important physics, or when the velocity has localized errors that result in large trajectory errors. A foundation of physical mechanisms driving motion in the ocean may help identify currents lacking certain types of physics, and the remedy. Recent progress in our understanding of motion in the upper centimeters of the ocean supports unconventional parameterizations; we present as an example the 2003 Point Wells oil spill which had remained…
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Taxonomy
TopicsOil Spill Detection and Mitigation · Oceanographic and Atmospheric Processes
