{"refrec":{"BRefID":211442,"RR":"<b>Carriere, O.; Hermand, J.P.; Candy, J.V.</b> (2008). Range-resolving shallow water acoustic tomography by ensemble Kalman filtering, <b><i>in</i></b>: MTS <i>et al.</i> <i>Oceans 2008 MTS/IEEE Quebec. Oceans, Poles & Climate: Technological Challenges, September 15-18, 2008, Quebec City, Canada. Oceans (New York),</i> 1-4: pp. 964-968","BEntID":203364,"PublicFlag":1,"CheckedFlag":1,"wosflag":0,"vabbflag":0,"RefStringPartII":", <b><i>in</i></b>: MTS <i>et al.</i> <i>Oceans 2008 MTS/IEEE Quebec. Oceans, Poles & Climate: Technological Challenges, September 15-18, 2008, Quebec City, Canada. Oceans (New York),</i> 1-4: pp. 964-968","DocTypID":17,"DocType":"Book chapters","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Carriere, O.; Hermand, J.P.; Candy, J.V.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Carriere, O.; Hermand, J.P.; Candy, J.V.","Englishabstract":"In the context of the recent Maritime Rapid Environmental Assessment sea trial (MREA/BP'07), this paper presents a range-resolving tomography method based on the ensemble Kalman filtering (EnKF) of full-field acoustic measurements on a vertical array. The measurements are assimilated in a Gauss-Markov model of the sound-speed field time variations with known statistics. The reformulation of the inverse problem in an ocean data assimilation framework enables the sequential tracking of time- and space-varying environmental parameters. The tracking scheme is here applied to a realistic simulation of a vertical slice in a shallow water environment. Sea-surface sound-speed measurements are augmented to the measurement vector to constrain the range-dependent structure. Known bottom and subbottom properties are taken into account in the propagation model. 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