@article{fdi:010067236, title = {{I}mprovement ocean wave spectra estimation using the temporal structure of wave systems}, author = {{K}pogo-{N}uwoklo, {K}.{A}. and {A}illiot, {P}. and {O}lagnon, {M}. and {G}u{\'e}d{\'e}, {Z}. and {A}rnault, {S}abine}, editor = {}, language = {{ENG}}, abstract = {{S}ea 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. {I}n 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. {S}ince 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 2{D} kernel density estimators that allow the taking care of the spectral component frequency-time evolutions. {T}he method is successfully validated on sequences of spectra typical of sea-state conditions in {W}est {A}frica. {T}he comparison with the simple 2{D} 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. {T}he 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.}, keywords = {{AFRIQUE} {DE} {L}'{OUEST} ; {ATLANTIQUE}}, booktitle = {}, journal = {{C}oastal {E}ngineering}, volume = {96}, numero = {}, pages = {81--91}, ISSN = {0378-3839}, year = {2015}, DOI = {10.1016/j.coastaleng.2014.11.007}, URL = {https://www.documentation.ird.fr/hor/fdi:010067236}, }