Towards Nonlinear Filtering in Lagrangian Data Assimilation. Hayder Salman Department of Mathematics UNC-Chapel Hill. Collaborators: Chris Jones, Kayo Ide. Sponsored by. The augmented approach for Lagrangian Data Assimilation (LaDA) :.
Department of Mathematics
Collaborators: Chris Jones, Kayo Ide
Kalman Filter (LaDA):
- generally not true for nonlinear models
Lagrangian coherent structures in double gyre ocean model
Ottino ARFM (1990)
- we need a Lagrangian specific component for our LaDA filter
of the PDF in observation space
related to an advection-diffusion equation of a passive tracer !!!
more general method for LaDA.