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Explore Lagrangian data assimilation methods and uncertainty in this comprehensive webinar presented by Nan Chen from the University of Wisconsin-Madison. Delve into the world of Lagrangian tracers, which follow fluid parcel movements, and their application in recovering underlying flow fields. Learn about ensemble data assimilation techniques and a mathematical framework providing analytically solvable solutions. Investigate the uncertainty aspects of Lagrangian data assimilation, including information gain quantification in state estimation, eddy identification under uncertainty, and optimal tracer deployment strategies for uncertainty reduction. Gain valuable insights into applied mathematics, earth science, and computational fluid dynamics through this in-depth presentation, followed by an informative Q&A session.
