{"refrec":{"BRefID":211130,"RR":"<b>Carriere, O.; Hermand, J.P.; Le Gac, J.C.; Rixen, M.</b> (2009). Full-field tomography and Kalman tracking of the range-dependent sound speed field in a coastal water environment. <i>J. Mar. Syst. 78</i>: S382-S392. <a href=\"https://dx.doi.org/10.1016/j.jmarsys.2009.01.036\" target=\"_blank\">https://dx.doi.org/10.1016/j.jmarsys.2009.01.036</a>","BEntID":203052,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>J. Mar. Syst. 78</i>: S382-S392. <a href=\"https://dx.doi.org/10.1016/j.jmarsys.2009.01.036\" target=\"_blank\">https://dx.doi.org/10.1016/j.jmarsys.2009.01.036</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Carriere, O.; Hermand, J.P.; Le Gac, J.C.; Rixen, M.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Carriere, O. <i>et al.</i>","Englishabstract":"The monitoring, assessment and prediction of dynamic processes in shallow water constitute an attractive challenge. The availability of targeted observations enable high-resolution ocean forecasting to develop the 4D environmental picture. In particular, range-resolving acoustic tomography data constitute an effective way to reduce the non-uniform distribution and sparsity of standard hydrographic observations. In this paper a Kalman filtering scheme is investigated for tracking the time variations of a range-dependent sound-speed field in a vertical slice of a shallow water environment from full-field acoustic data and a propagation model taking into account the acoustic properties of the seafloor and subseafloor. The basic measurement setup for each radial of a tomography system consists of a broadband, multifrequency sound source and a vertical receiver array spanning most of the water column. The state variables represent the main features of the sound-speed field in a low dimensional parameterization scheme using empirical orthogonal functions. To test the algorithm acoustic data are synthesized from ocean model predictions obtained in support of the MREA/BP07 experiment southeast of the island of Elba, Italy. Bottom geoacoustic parameters obtained from previous acoustic inversion experiments are input to a normal mode propagation model as a background dataset. Additional data such as sea-surface temperature data from satellite or in situ hydrographic observations provide a priori approximate information about the range dependency of the subsurface structure and an estimation of the sea-surface sound speed. The evolution of the entire sound-speed field in the vertical slice is then sequentially estimated by the inversion processor. The results show that the daily space and time variations of the simulated sound-speed field can be effectively tracked with an extended Kalman filter. The depth-integrated sound-speed error (RMS) remains lower than 0.3 m/s (0.09°C) when the benchmark environment is completely determined in the parameter space and lower than 0.7 m/s (0.22°C)for an approximate environment parameterization.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Full-field tomography and Kalman tracking of the range-dependent sound speed field in a coastal water environment","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":"Data assimilation; Shallow water; Kalman filter; Acoustic inversion","OtherDescriptors":null,"Notes":null,"AnaPub":2009,"MonPub":null,"DateUpdate":"2018-08-16","DateCreate":"2011-12-22","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000271872700031","VABBcode":null,"OpenAcc":0,"DOI":"10.1016/j.jmarsys.2009.01.036"},"refs":null,"anarec":{"AnaID":211130,"PubliDate":2009,"Pagination":"S382-S392","XtraPublOfAnaID":null,"ISBN":null,"Volume":"78","Issue":null,"BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":43079,"SerRR":"Journal of Marine Systems. Elsevier: Tokyo; Oxford; New York; Amsterdam.  ISSN 0924-7963; e-ISSN 1879-1573","StandardTitleSer":"Journal of Marine Systems","ISSN":"0924-7963","AbbrevSer":"J. Mar. 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