HR: 0800h
AN: NG11A-0170    [Abstracts]
TI: Identifying Weak Signals in Tide Gauge Records
AU: * Karpytchev, M
EM: mikhail.karpytchev@univ-lr.fr
AF: Centre Littoral De Geophysique,Pole Sciences, Universite de la Rochelle Avenue Michel Crepeau, LA ROCHELLE, 17042, France
AU: Becker, M
EM: mbecker@univ-lr.fr
AF: Centre Littoral De Geophysique,Pole Sciences, Universite de la Rochelle Avenue Michel Crepeau, LA ROCHELLE, 17042, France
AU: Davy, M
EM: manuel.davy@ec-lille.fr
AF: Laboratoire d'Automatique Genie Informatique et Signal, Cite Scientifique, Villeneuve d'Ascq, 59650, France
AB: The monthly tide gauge (TG) records are often dominated by a nonlinear sea level trend (Jevrejeva et al, 2006) and seasonal/annual variations. In order to identify the weak signals in the TG records, we propose a method based on statistical techniques of the detection theory . A special focus is made on modelling the temporal and spatial correlations in the TG sea level data. An efficiency of the proposed method is tested through intensive numerical tests. Examples of succeful identification of sea level variations provoked by (1) urbanisation effects and (2) seismic activity are presented discussed.
DE: 3270 Time series analysis (1872, 4277, 4475)
DE: 4277 Time series experiments (1872, 3270, 4475)
DE: 4430 Complex systems
DE: 4468 Probability distributions, heavy and fat-tailed (3265)
DE: 4556 Sea level: variations and mean (1222, 1225, 1641)
SC: Nonlinear Geophysics [NG]
MN: 2007 Fall Meeting