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137507 https://hdl.handle.net/2286/R.I.17171 http://rightsstatements.org/vocab/InC/1.0/ 2013-05 29 pages eng Deibel, Angelica Rae Tang, Wenbo Moustaoui, Mohamed Kostelich, Eric Barrett, The Honors College School of Mathematical and Statistical Sciences Department of Physics Text Using weather data from the Weather Research and Forecasting model (WRF), we analyze the transport of inertial particles in Hurricane Katrina in order to identify coherent patterns of motion. For our analysis, we choose a Lagrangian approach instead of an Eulerian approach because the Lagrangian approach is objective and frame-independent, and gives results which are better defined. In particular, we locate Lagrangian Coherent Structures (LCS), which are smooth sets of fluid particles which are locally most hyperbolic (either attracting or repelling). We implement a variational method for locating LCS and compare the results to previous computation of LCS using Finite-Time Lyapunov Exponents (FTLE) to identify regions of high stretching in the fluid flow. Particle Transport Computational Mathematics Atmospheric Modeling Lagrangian Transport of Inertial Particles in Hurricane Katrina