HR: 15:50h
AN: OS44A-02 INVITED     [Abstracts]
TI: Acoustical-Environmental Data Assimilation for the Estimation of Hydrostatic and Non-hydrostatic Coastal Ocean Dynamics
AU: * Lermusiaux, P F
EM: pierrel@pacific.harvard.edu
AF: Harvard Univ., DEAS 29, Oxford street, Cambridge, ma 02138 United States
AU: Warn-Varnas, A
EM: Alex.Warn-Varnas@nrlssc.navy.mil
AF: Naval Research Laboratory, Code 7322,, Stennis Space Center, Stennis, MS 39529 United States
AU: Hawkins, J
EM: jhawkins@psislidell.com
AF: Planing Systems Inc, 115 Christian Lane, Slidell, LA 70458 United States
AU: Chiu, C
EM: chiu@nps.navy.mil
AF: Naval Postgraduate School, Dept of Oceanography, Monterey, CA 93940 United States
AB: The estimation of coastal environmental parameters and acoustic properties is considered as a single coupled problem. The sources of information, environmental and acoustical data, and ocean dynamics and sound propagation models, are combined by data assimilation in accord with their respective uncertainties, i.e. their error statistics. This process provides better estimates of parameters and properties than can be obtained by using only the observations or models alone. The approach is exemplified for the New England continental shelfbreak region, using acoustical and physical data collected during the summer and winter Shelfbreak PRIMER Experiment. The coupled data assimilation methodology is based on Error Subspace Statistical Estimation. For the summer experiment, the focus is on mesoscale dynamics of the Middle Atlantic Bight shelfbreak front, including remote influences from the shelf, slope and deep ocean. The ocean environment is simulated with the hydrostatic Harvard Ocean Prediction System. For the winter experiment, the focus is on non-hydrostatic processes and internal waves and solitons. The ocean environment is simulated with the 2.5D Lamb non-hydrostatic model and twin-experiments are carried-out. Ongoing progress towards the inference of background parameters of the Lamb model (e.g. mixed-layer depth, boundary velocities, frontal slope) by assimilation of acoustical and/or physical data will be reported. The results provide insights into relations between physical and acoustical fields, and their uncertainties, on hydrostatic and non-hydrostatic scales.
UR: http://people.deas.harvard.edu/~pierrel/
DE: 4200 OCEANOGRAPHY: GENERAL
DE: 4259 Ocean acoustics
DE: 4263 Ocean prediction
SC: Ocean Sciences [OS]
MN: 2005 Joint Assembly