A technique for the assimilation of spectral wave observations in wave
models is presented and tested. The method uses the concept of spectr
al partitioning to project the entire wave spectrum onto a few essenti
al mean parameters. Model and observed partition parameters are assimi
lated using an optimal interpolation (OI) technique. After data reduct
ion, obtained by the partitioning, the cost of the assimilation is neg
ligible compared to the cost of the model un itself. Therefore the opt
imal interpolation of partitions (OI-P) method is a very attractive as
similation technique for operational wave forecasting. The paper focus
es on the assimilation of pitch-and-roll buoy spectra in a North Sea v
ersion of the WAM wave model. Treatment of the (non-fully two-dimensio
nal) buoy spectra is discussed. Appropriate choices for the OI weight
functions are made. The problem of correlating wave partitions in diff
erent spectra is addressed, which is essential for obtaining a robust
a;nd efficient system. In order to assess the influence of spectral wa
ve observations on the analysis of the sea state, the method is compar
ed to a second scheme, optimal interpolation of integral parameters (O
I-I), which can only be used to assimilate observations of significant
wave height and mean wave period. First, tests with synthetic data ar
e described, which illustrate advantages of the partitioning method me
thods. Experiments with buoy observations for actual North Sea conditi
ons show the benefits of the system, especially when several wave syst
ems are present at the same time.