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dc.contributor.authorLermusiaux, P.F.J.
dc.contributor.authorChiu, C.S.
dc.date.accessioned2014-10-06T22:29:17Z
dc.date.available2014-10-06T22:29:17Z
dc.date.issued2002
dc.identifier.urihttp://hdl.handle.net/10945/43435
dc.description.abstractThe estimation of oceanic environmental and acoustical fields is considered as a single coupled data assimilation problem. The four-dimensional data assimilation methodology employed is Error Subspace Statistical Estimation. Environmental fields and their dominant uncertainties are predicted by an ocean dynamical model and transferred to acoustical fields and uncertainties by an acoustic propagation model. The resulting coupled dominant uncertainties define the error subspace. The available physical and acoustical data are then assimilated into the predicted fields in accord with the error subspace and all data uncertainties. The criterion for data assimilation is presently to correct the predicted fields such that the total error variance in the error subspace is minimized. The approach is exemplified for the New England continental shelfbreak region, using data collected during the 1996 Shelfbreak Primer Experiment. The methodology is discussed, computational issues are outlined and the assimilation of model-simulated acoustical data is carried out. Results are encouraging and provide some insights into the dominant variability and uncertainty properties of acoustical fields.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleFour-dimensional data assimilation for coupled physical-acoustic fieldsen_US
dc.typeArticleen_US
dc.contributor.departmentOceanography


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