Session D: Assimilation of Lagrangian data and predictability of trajectories.
Moderator: Tamay Özgökmen, University of Miami
Morning Sessions
9:00 am to 10:45 pm
9:00 am D101 On the statistical approach to Lagrangian data assimilation
Leonid Piterbarg9:15 am D102 Assimilation of float positions in general circulation and regional scale ocean models
A. Molcard, A. Griffa, T.M. Ozgokmen, L.I. Piterbarg, V. Taillandier, A. Mariano, T.M. Chin,9:30 am D103 Variational assimilation of Lagrangian data in a Primitive Equations model
Maelle Nodet9:45 am D104 Assimilation of Lagrangian Data Using Particle Filters
Keith Thompson, Kassiem Jacobs10:00 am D105 Lagrangian data assimilation and overcoming the saddle effect
Christopher K.R.T. Jones, Kayo Ide, Liyan Liu, Amit Apte, Juan Restrepo10:15 am D106 Reconstructing regional-scale velocity fields from lagrangian data
Vincent Taillandier10:30 am D107 The impact of temperature and salinity data from profiling floats in the Mediterranean Forecasting System.
F. Raicich, A. Griffa, A. Molcard, V. Rupolo
Concluding remarks
10:45 am to 11:00 am
Concluding remarks by Arthur Mariano, University of Miami
Poster Session
11:00 am to 12:00 pm
Posters from today's talks.
Refreshments will be served.
Optimal Deployment of Drifting Acoustic Sensors I
12:00 pm to 1:00 pm
Discussion on "Optimal Deployment of Drifting Acoustic Sensors (ODDAS)".
Lunch Break
1:00 pm to 2:00 pm
Lunch is being served at the Villa for a nominal fee.
Optimal Deployment of Drifting Acoustic Sensors II
2:00 pm to 3:00 pm
Discussion on "Optimal Deployment of Drifting Acoustic Sensors (ODDAS)".