FN Archimer Export Format
PT J
TI Improvement ocean wave spectra estimation using the temporal structure of wave systems
BT 
AF KPOGO NUWOKLO, Komlan Agbéko
   AILLIOT, Pierre
   OLAGNON, Michel
   GUEDE, Zakoua
   ARNAULT, Sabine
AS 1:1;2:2;3:1;4:1;5:3;
FF 1:PDG-REM-RDT-LCSM;2:;3:PDG-REM-RDT-LCSM;4:PDG-REM-RDT-LCSM;5:;
C1 IFREMER, Ctr Brest, Lab Comportement Struct Mer, F-29280 Plouzane, France.
   Univ Bretagne Occidentale, Lab Mathemat Bretagne Atlant, Brest, France.
   Univ Paris 06, LOCEAN IPSL, Paris, France.
C2 IFREMER, FRANCE
   UBO, FRANCE
   UNIV PARIS 06, FRANCE
SI BREST
SE PDG-REM-RDT-LCSM
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-univ-france
IF 2.841
TC 3
UR https://archimer.ifremer.fr/doc/00252/36309/37313.pdf
LA English
DT Article
DE ;Directional wave spectrum;Spectral estimation;Periodogram smoothing;Kriging
AB Sea states are usually the combination of several time-evolving wave systems whereas the classical spectral estimation methods assume stationarity. A method that adapts to the dynamical evolution of the spectral components is proposed to improve both omnidirectional and directional sea wave spectral estimations. In this method, periodograms are computed for each sea state as in the conventional methods, and rather than only smoothing individual periodograms, the overall time-history of periodograms are simultaneously smoothed in frequency and time dimensions. Since a simple two dimensional averaging would not be appropriate because the temporal evolution of the wave systems reflects typical non-stationary behaviors, we use either kriging or adaptive 2D kernel density estimators that allow the taking care of the spectral component frequency-time evolutions. The method is successfully validated on sequences of spectra typical of sea-state conditions in West Africa. The comparison with the simple 2D averaging method and individual periodogram smoothing method shows that the proposed method gives higher effective numbers of degrees of freedom, better estimates of the spectral shape and reliable spectral moments. The method also provides a tool for sea wave spectra interpolation and may thus be used to fill in missing values and improve wave systems tracking for storm identification purposes.
PY 2015
PD FEB
SO Coastal Engineering
SN 0378-3839
PU Elsevier Science Bv
VL 96
UT 000348262900009
BP 81
EP 91
DI 10.1016/j.coastaleng.2014.11.007
ID 36309
ER

EF