{"refrec":{"BRefID":238237,"RR":"<b>Carriere, O.; Hermand, J.-P.</b> (2013). Feature-oriented acoustic tomography for coastal ocean observatories. <i>IEEE J. Ocean. Eng. 38(3)</i>: 534-546. <a href=\"http://dx.doi.org/10.1109/JOE.2012.2227543\" target=\"_blank\">dx.doi.org/10.1109/JOE.2012.2227543</a>","BEntID":229924,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":null,"RefStringPartII":". <i>IEEE J. Ocean. Eng. 38(3)</i>: 534-546. <a href=\"https://dx.doi.org/10.1109/JOE.2012.2227543\" target=\"_blank\">https://dx.doi.org/10.1109/JOE.2012.2227543</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Carriere, O.; Hermand, J.-P.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Carriere, O.; Hermand, J.-P.","Englishabstract":"The deployment of coastal observatories motivates the development of acoustic inversion schemes able to characterize rapidly time-varying range-dependent environments. This paper develops feature models as parameterization schemes for the range-dependent temperature field, when the latter is mainly influenced by an identified oceanic feature, here thermal fronts. The feasibility of feature-oriented acoustic tomography (FOAT) is demonstrated in two cases of coastal thermal front known to occur regularly: the Ushant tidal front, France (48.5 ° N, 5 ° E), and the Cabo Frio coastal upwelling, Brazil (23 ° S, 42 ° W). Realistic scenarios simulated with regional circulation models provide typical environmental variations for testing the validity of the FOAT approach, with both global optimization and sequential filtering of the (synthetic) full-field acoustic data. Matched-field processing at multiple frequencies is used to reduce ambiguities between parameters and to achieve a good tradeoff between robustness and sensitivity. The proposed feature-model parameterization is shown to provide robust estimates of the 2-D temperature field even when the simulated environment presents smaller scale inhomogeneities. Moreover, the sequential filtering based on a random walk model of the thermal front parameters enables a stable tracking of typical temperature field variations along several days. This sequential approach is particularly convenient for continuous, long-term monitoring operated with bottom-moored ocean observatories.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Feature-oriented acoustic tomography for coastal ocean observatories","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"Coastal acoustic tomography; inversion; Kalman filter; random walk;range dependent; sequential Bayesian filtering; thermal front; upwelling","OtherDescriptors":null,"Notes":null,"AnaPub":2013,"MonPub":null,"DateUpdate":"2015-10-29","DateCreate":"2014-05-18","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000321925500012","VABBcode":null,"OpenAcc":0,"DOI":"10.1109/JOE.2012.2227543"},"refs":null,"anarec":{"AnaID":238237,"PubliDate":2013,"Pagination":"534-546","XtraPublOfAnaID":null,"ISBN":null,"Volume":"38","Issue":"3","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":43130,"SerRR":"IEEE Journal of Oceanic Engineering. 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