Data Assimilation of High Dimensional, Nonlinear Dynamic Systems
From REU@MU
Researcher: Louis Nass Mentor: Dr. Elaine Spiller
General Overview
Data Assimilation For Fluid Dynamic Models
Project Specifications
During the spring semester of 2017, Dr. Spiller and myself have been working on the Data Assimilation of the Lorenz '63 system. The Lorenz '63 system is three-dimensional, nonlinear system that has chaotic solutions depending on the initial conditions and values of its parameters. I first worked to solve this system, using MatLab. From there I developed a Particle Filter and a Kalman Filter to see , from the calculated solutions, created 'noisy observations' by simply adding
